WEBVTT - What AI Is Already Doing to the Legal Industry

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<v Speaker 1>Bloomberg Audio Studios, Podcasts, radio News.

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<v Speaker 2>Hello and welcome to another episode of The Odd Lots podcast.

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<v Speaker 3>I'm Joe Wisenthal and I'm Tracy Alloway.

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<v Speaker 2>Tracy, I was at my cousin's wedding this weekend, and

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<v Speaker 2>I have a lot of lawyers in my family, and

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<v Speaker 2>every time I know that, yeah, yeah, and my extended

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<v Speaker 2>family a lot of lawyers in there, and I'm always

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<v Speaker 2>asking them, like what they do and stuff. Within like

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<v Speaker 2>five seconds of any conversation, I'm like, tell me about

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<v Speaker 2>trials and techniques like swathe the jury, etc. The stuff

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<v Speaker 2>I see on TV. I am aware though that that

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<v Speaker 2>is actually not that big of a part of many

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<v Speaker 2>lawyers like day to day.

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<v Speaker 3>Well, I have a lawyer in my family too, an

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<v Speaker 3>ex lawyer, my husband, who did big law, big corporate law,

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<v Speaker 3>absolutely hated it and got out of it luckily. And

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<v Speaker 3>so I have a feeling in this particular episode, I'm

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<v Speaker 3>just going to ask a lot of work life balance

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<v Speaker 3>questions based on my own experience of my husband's experience. Yeah,

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<v Speaker 3>but it is a huge industry, and it's one of

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<v Speaker 3>those industries that I think all financial journalism actually doesn't

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<v Speaker 3>do a good job of covering along with accounting. So

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<v Speaker 3>we should talk about it.

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<v Speaker 2>We definitely should talk about it. We should talk about

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<v Speaker 2>it way more than we do. Within the AI conversation, specifically,

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<v Speaker 2>you hear a lot about the prospects of this being

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<v Speaker 2>either like a force multiplier or a labor reducer, because

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<v Speaker 2>my understanding is that a lot of like, especially like

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<v Speaker 2>junior lawyers, they're up all night. What are they like

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<v Speaker 2>looking for misplaced commas because those could be a big

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<v Speaker 2>deal in contracts, right, and so in theory, and again, Tracy,

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<v Speaker 2>I'm sure you know way more about this than I do.

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<v Speaker 2>But in theory that sort of seems like something a

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<v Speaker 2>I might be good at, Like, oh no, if the

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<v Speaker 2>is not here and it's there, then that totally changes

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<v Speaker 2>the definition of this clause or whatever.

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<v Speaker 3>There's a famous case involving a commo that did exactly that.

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<v Speaker 3>So many points to make here. First of all, I

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<v Speaker 3>am vastly in favor of anything that makes corporate lawyers

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<v Speaker 3>lives slightly more efficient and happier, so AI could be

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<v Speaker 3>useful here. But I also wonder, you know, the lawyer profession,

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<v Speaker 3>they have things like templates and standard forms and stuff

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<v Speaker 3>like that. So I also wonder how much of an

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<v Speaker 3>improvement AI will be here. So I'm excited to talk

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<v Speaker 3>about it.

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<v Speaker 2>You know that, Tracy, when they get the AI tools

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<v Speaker 2>really in place, they're just going to give them more work.

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<v Speaker 3>Yeah, well that's what I suspect.

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<v Speaker 1>Yeah, yeah, no, one's.

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<v Speaker 3>Actually by the way, I have a lot of stories

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<v Speaker 3>of like partners calling from their fishing boats on the

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<v Speaker 3>weekend demanding that junior lawyers go into the office and

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<v Speaker 3>like fix a comma and things like that.

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<v Speaker 2>All Right, Well, I'm really excited to say we do

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<v Speaker 2>have the perfect get. Someone that I've known for a

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<v Speaker 2>very long time, someone who just knows about a lot

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<v Speaker 2>of stuff. Someone who is lawyer. We're going to be

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<v Speaker 2>speaking with Joel Worthheimer. He's currently at Worthheimer Fleet LLP

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<v Speaker 2>of civil rights firm here in New York City. He's

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<v Speaker 2>previously at the White House. He's done big law in

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<v Speaker 2>the past. He knows a lot about a lot of stuff.

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<v Speaker 2>He knows a lot about poker, he knows a lot

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<v Speaker 2>about AI. Someone I think we had just talked to

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<v Speaker 2>about anything. He knows a lot about elections. He just

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<v Speaker 2>sort of knows everything. Joel, Thank you so much for

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<v Speaker 2>coming on Odd Laws thrilled to have you here.

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<v Speaker 4>Thank you for having me.

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<v Speaker 2>Why do you real? Quickly tell us, like who you are,

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<v Speaker 2>what do you do? Why are we talking to you.

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<v Speaker 5>I run my own civil rights law firm. I just

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<v Speaker 5>partnered up, and we sue the government mostly for violations

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<v Speaker 5>of civil rights. Sometimes that's false arrests or wrongful convictions.

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<v Speaker 5>Sometimes that's wrongful removals of kids and let's say child

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<v Speaker 5>services for a shaken baby that was a false accusation,

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<v Speaker 5>that sort of thing, And we try to get people

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<v Speaker 5>compensation for the wrongs of their constitutional rights. That's about

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<v Speaker 5>eighty percent of what we do.

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<v Speaker 3>Question. Are civil slash criminal lawyers? Are they happier than

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<v Speaker 3>corporate lawyers?

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<v Speaker 5>I would say on average, sure, but the distribution is

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<v Speaker 5>probably pretty wide for each you know. Look, I do

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<v Speaker 5>think on the nice thing on the plaintiff side, and

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<v Speaker 5>it's like I'm my own boss. I get to, you know,

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<v Speaker 5>determine how much I work, and each extra case it's

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<v Speaker 5>just more money or less money if I if I

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<v Speaker 5>decide not to take it, and so I can sort

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<v Speaker 5>of set my own work life balance when I do that,

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<v Speaker 5>you know, and it's it's constantly a decision of sort

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<v Speaker 5>of what's the expected value of a case and is

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<v Speaker 5>it worth it to me in terms of the hours

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<v Speaker 5>I have to put in.

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<v Speaker 2>So let's talk about when you were at a big

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<v Speaker 2>law and you know, I joked that you know people

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<v Speaker 2>they're up at one am and they're looking at commas.

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<v Speaker 2>I know that's a little bit of an exaggeration, but no,

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<v Speaker 2>it's not, and it really isn't.

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<v Speaker 1>Yeah, I guess it's not.

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<v Speaker 2>And I know that lawyers are really obsessed with billbile

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<v Speaker 2>hours and I think they even like measure things in

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<v Speaker 2>ten minute increments, like so six minutes, six minute increments.

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<v Speaker 2>If you're a junior associated or enter a law firm, whatever,

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<v Speaker 2>what is the modal use of your time? What are

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<v Speaker 2>you mostly doing when you're clocking those six minute increments?

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<v Speaker 4>Right?

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<v Speaker 5>So it's gonna I can only really speak to litigation

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<v Speaker 5>because of corporate you're I think we're just reviewing contracts

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<v Speaker 5>and deal points constantly. For litigator, A lot of your

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<v Speaker 5>your time is in discovery, and that's true small law,

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<v Speaker 5>big law, but you are reviewing documents, uh, synthesizing what

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<v Speaker 5>they say. Maybe you're trying to do a privileged check

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<v Speaker 5>and say, okay, this document we can't turn over. You know,

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<v Speaker 5>that's changed some actually with machine learning, the predictive coding

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<v Speaker 5>has shrunk the amount of time that you know, junior

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<v Speaker 5>associates are spent doing that legal research, fights with opposing counsel.

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<v Speaker 5>You need to give us these documents you're saying they're privileged,

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<v Speaker 5>they're not privileged, that sort of thing. And then there's

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<v Speaker 5>the smaller section on taking depositions, you know, briefing things

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<v Speaker 5>to court. So that's very broad overview of those six

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<v Speaker 5>minute increments, and yes, editing and reviewing, looking for hanging commas,

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<v Speaker 5>you know, hanging headers. That was always the ban of

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<v Speaker 5>my existence, was forgetting that there was a hanging header.

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<v Speaker 4>Yeah, and getting ye all that for it.

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<v Speaker 2>That sounds bad, you know, the economics of a big

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<v Speaker 2>law firm. It feels like this very big pyramid structure,

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<v Speaker 2>which I think is replicated in many industries around the world,

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<v Speaker 2>probably in finance to some extent, and then I think

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<v Speaker 2>even academia to some extent. But talk to us a

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<v Speaker 2>little bit about like how that value accruise to the

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<v Speaker 2>entire firm and the partners and the distribution of the

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<v Speaker 2>fees that the clients are paying.

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<v Speaker 5>Right, so you have what they call leverage in a

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<v Speaker 5>law firm, So you have equity partners. Some firms have

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<v Speaker 5>equity partners and income partners who don't actually own a

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<v Speaker 5>chair of the firm, but the partners are trying to

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<v Speaker 5>get leverage on the associates. So one partner to say

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<v Speaker 5>four associate ratio, all of the big law firms basically

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<v Speaker 5>pay the exact same amount to their associates.

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<v Speaker 4>This is called the Cravat scale.

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<v Speaker 5>You can look it up and it'll say a third

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<v Speaker 5>year associate makes two hundred and fifty thousand dollars and

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<v Speaker 5>gets this bonus each year.

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<v Speaker 4>Let's just say for.

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<v Speaker 5>The average associate bills seven hundred dollars an hour and

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<v Speaker 5>is expected to bill about two thousand hours a year.

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<v Speaker 5>So they're generating one point four million for the firm

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<v Speaker 5>in revenue in terms of build out, and they're getting

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<v Speaker 5>paid i'd say with taxes and everything, five hundred thousand.

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<v Speaker 5>So the partners are making nine hundred thousand dollars for

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<v Speaker 5>every extra associate. So if you have a four to

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<v Speaker 5>one leverage, nine hundred thousand profits per partner three point

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<v Speaker 5>six million. And that's how they're trying to think of it,

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<v Speaker 5>and the big partners, the rain makers are the ones

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<v Speaker 5>who can generate enough work to support those associates. And

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<v Speaker 5>if you can't support those associates, your leverage goes down,

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<v Speaker 5>your profits go down.

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<v Speaker 4>You might have to let people off that sort of thing.

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<v Speaker 3>It's nice to be a partner at big law. But

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<v Speaker 3>on that note, so my understanding, at least in corporate

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<v Speaker 3>law is that it is harder to make partner nowadays

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<v Speaker 3>than it used to be. And this is part of

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<v Speaker 3>the reason why it's a miserable experience, because it used

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<v Speaker 3>to be in the past. You know, you work really

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<v Speaker 3>really hard, basically give up your life for like two

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<v Speaker 3>decades or whatever, and then you get rewarded with a

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<v Speaker 3>huge salary and you don't have to do as much

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<v Speaker 3>of the grunt work. Your job is basically sourcing deals

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<v Speaker 3>and making the intros and stuff like that. Do you

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<v Speaker 3>get that impression as well on your side?

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<v Speaker 5>I definitely see from the outside that it seems harder

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<v Speaker 5>to make partner. I think that's led to people more

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<v Speaker 5>people leaving earlier to do their own firms. I think

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<v Speaker 5>it's easier than ever to start.

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<v Speaker 4>Your own firm.

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<v Speaker 3>And why is that.

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<v Speaker 5>I mean, for one, I mean for me, for example,

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<v Speaker 5>I didn't need an office when I started. I started

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<v Speaker 5>in January of twenty twenty one. I had a desk

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<v Speaker 5>at a you know, at another law firm that collected mail.

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<v Speaker 5>I think the number of services are just easier to access,

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<v Speaker 5>even things like you know now if you really wanted to,

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<v Speaker 5>like cut, you could start with a cheaper legal research

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<v Speaker 5>service than West Law. Things like that, I think, and

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<v Speaker 5>you've seen it in the in the business creation numbers.

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<v Speaker 5>I think you see a lot of professional services, you know,

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<v Speaker 5>splitting off from firms. But I definitely think it's harder

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<v Speaker 5>to make partner.

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<v Speaker 4>They have had that.

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<v Speaker 5>They've added this income partner level, so you make partner,

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<v Speaker 5>but you're not an equity member of the firm. I

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<v Speaker 5>think consolation prize, that's right, and you get to shop

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<v Speaker 5>the title.

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<v Speaker 4>I think it's the other reason. You know.

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<v Speaker 5>So let's say you want to go in house somewhere.

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<v Speaker 5>Now you're a partner at this firm and you can

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<v Speaker 5>say you're a partner at the firm even if you

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<v Speaker 5>haven't bought in.

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<v Speaker 4>But I think that structure has been around longer.

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<v Speaker 5>Honestly, it feels like the same thing it's in academy

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<v Speaker 5>it's harder to get ten here now, it's just the

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<v Speaker 5>latter's getting pulled up.

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<v Speaker 4>I guess in the sort of.

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<v Speaker 2>Industry, would anyone go into a big law firm if

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<v Speaker 2>they knew in advance that they wouldn't make partner? Like

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<v Speaker 2>there's some like the angel of the future comes to

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<v Speaker 2>them in a dream and says, you know what, you're

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<v Speaker 2>not going to make partner? Would that still be worthwhile?

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<v Speaker 2>Or is the prospect even if it's declining of making

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<v Speaker 2>partner like? Is that crucial towards that decision? If you

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<v Speaker 2>knew in advance you weren't going to make it? Would

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<v Speaker 2>anyone make that decision?

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<v Speaker 5>So they do have staff attorneys at big law firms

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<v Speaker 5>that are people who are not on partner track.

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<v Speaker 1>Okay, and those are fine careers.

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<v Speaker 5>And they're fine careers I think people you know, but

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<v Speaker 5>they also have less expectation of how much they're going

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<v Speaker 5>to work.

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<v Speaker 4>You typically wouldn't do it.

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<v Speaker 5>And the reason they have this up or out sort

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<v Speaker 5>of system at the big law firms is because the

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<v Speaker 5>prospect of being partner drives you to sell you twenty

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<v Speaker 5>twenty five hundred hours, how many it is you're showing.

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<v Speaker 3>How well the light at the end of the tunnel, right.

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<v Speaker 1>That's right?

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<v Speaker 5>So you know, I think, Look, the training is really good,

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<v Speaker 5>the cases are really interesting, Like I actually quite enjoyed

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<v Speaker 5>some of it, But that pressure to bill and work is.

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<v Speaker 4>You probably wouldn't I want that.

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<v Speaker 1>When you say training, like, you know, I don't, like

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<v Speaker 1>what's the deal? Like in law school you don't even

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<v Speaker 1>learn about any of the things you actually do as

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<v Speaker 1>a lawyer.

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<v Speaker 5>You certainly learn, you know how to think about the law,

0:11:12.559 --> 0:11:15.000
<v Speaker 5>but you're not learning in the city and you have

0:11:15.080 --> 0:11:15.440
<v Speaker 5>a leader.

0:11:15.480 --> 0:11:16.200
<v Speaker 1>Because I think this is.

0:11:16.200 --> 0:11:20.079
<v Speaker 2>Actually important for the AI component of like, Okay, what

0:11:20.200 --> 0:11:21.920
<v Speaker 2>is how do you actually learn to be a lawyer

0:11:21.920 --> 0:11:24.679
<v Speaker 2>if you don't really do it in law school? And

0:11:24.760 --> 0:11:27.920
<v Speaker 2>then you know AI is going to take over more

0:11:27.960 --> 0:11:30.040
<v Speaker 2>and more of these functions like the prospect where do

0:11:30.080 --> 0:11:30.400
<v Speaker 2>you learn?

0:11:30.480 --> 0:11:30.640
<v Speaker 3>Right?

0:11:31.200 --> 0:11:33.440
<v Speaker 5>So what is So here's an example. You don't learn

0:11:33.480 --> 0:11:37.559
<v Speaker 5>how to have a dispute about discovery in law school. Okay,

0:11:37.600 --> 0:11:41.280
<v Speaker 5>you know I sent out discovery demands you owe me documents.

0:11:41.360 --> 0:11:44.679
<v Speaker 5>Right under in the American system of law, somebody you get,

0:11:44.679 --> 0:11:47.440
<v Speaker 5>you end up in a lawsuit, and each side is

0:11:47.480 --> 0:11:51.880
<v Speaker 5>obligated to exchange documents with each other. And you you

0:11:51.920 --> 0:11:54.400
<v Speaker 5>send out demands and you ask for a certain category

0:11:54.440 --> 0:11:56.200
<v Speaker 5>of documents and they come back and say we're not

0:11:56.240 --> 0:11:58.960
<v Speaker 5>going to give them to that request was overly burdensome

0:11:59.200 --> 0:12:01.600
<v Speaker 5>or they're not really or they say they lost them,

0:12:01.800 --> 0:12:04.240
<v Speaker 5>or they say they lost them, and you have to

0:12:04.240 --> 0:12:08.760
<v Speaker 5>have a fight about getting the documents. What keywords did

0:12:08.760 --> 0:12:10.960
<v Speaker 5>you search, who did you collect documents from? All of

0:12:11.000 --> 0:12:14.880
<v Speaker 5>those sorts of things, and how to have that dispute,

0:12:14.960 --> 0:12:17.599
<v Speaker 5>how to make the request so you don't get the

0:12:18.120 --> 0:12:21.400
<v Speaker 5>denial those sorts of things, and what the writing looks

0:12:21.440 --> 0:12:24.600
<v Speaker 5>like and feels like you just don't get. In law school,

0:12:24.640 --> 0:12:27.319
<v Speaker 5>you just the and even writing a brief, and what's

0:12:27.320 --> 0:12:30.880
<v Speaker 5>a persuasive brief? The edits those sorts of things. You

0:12:31.280 --> 0:12:33.160
<v Speaker 5>learn how to do legal writing, but it's just you

0:12:33.200 --> 0:12:35.679
<v Speaker 5>can't do it until you're doing it.

0:12:35.800 --> 0:12:37.760
<v Speaker 1>Got it okay?

0:12:37.800 --> 0:12:41.760
<v Speaker 3>So on that note, I mean, AI seems possibly most

0:12:41.800 --> 0:12:46.400
<v Speaker 3>at home replicating the work done by say a mildly competent,

0:12:46.679 --> 0:12:51.880
<v Speaker 3>maybe not too tired, junior associate. And historically you do

0:12:52.000 --> 0:12:55.720
<v Speaker 3>that work for many years and you build foundational skills

0:12:55.760 --> 0:12:59.640
<v Speaker 3>of being a lawyer, like attention to detail and issue

0:12:59.640 --> 0:13:02.679
<v Speaker 3>spot and I guess, risk triage, and that sort of thing.

0:13:03.480 --> 0:13:07.960
<v Speaker 3>If those tasks, those formational tasks are now outsourced to AI,

0:13:09.000 --> 0:13:11.120
<v Speaker 3>what do you see as the impact on junior lawyers.

0:13:11.760 --> 0:13:13.560
<v Speaker 5>It's a great question. I think it's going to be

0:13:13.640 --> 0:13:17.760
<v Speaker 5>hard for junior lawyers at big law firms to get

0:13:18.160 --> 0:13:21.600
<v Speaker 5>their sort of that training. On the other hand, it

0:13:21.600 --> 0:13:26.240
<v Speaker 5>may just be that they are doing more work and

0:13:26.320 --> 0:13:30.679
<v Speaker 5>so on the same things, but more efficiently. Maybe they're

0:13:31.200 --> 0:13:35.480
<v Speaker 5>now going to have more fights about documents and less

0:13:35.520 --> 0:13:38.439
<v Speaker 5>time spending reviewing the documents. Maybe they can increase the

0:13:38.520 --> 0:13:42.280
<v Speaker 5>volume of things they demand, that sort of thing. I

0:13:42.360 --> 0:13:47.160
<v Speaker 5>certainly think that the leverage model and the build our

0:13:47.480 --> 0:13:51.120
<v Speaker 5>model is going to run into some difficulty. It'll also

0:13:51.160 --> 0:13:54.040
<v Speaker 5>make their lives easier, just in terms of you know,

0:13:54.120 --> 0:13:55.240
<v Speaker 5>as an example, you.

0:13:55.240 --> 0:13:56.720
<v Speaker 4>Get discovery requests.

0:13:56.720 --> 0:13:58.800
<v Speaker 5>I talk about discovery a lot because it's truly like

0:13:58.920 --> 0:14:00.960
<v Speaker 5>a lot of the work of being a lawyer. But

0:14:01.559 --> 0:14:03.199
<v Speaker 5>they come, you know, the other side will send you

0:14:03.280 --> 0:14:05.400
<v Speaker 5>a PDF with a bunch of demands, and then you've

0:14:05.400 --> 0:14:08.480
<v Speaker 5>got to respond to the demands, and even just the

0:14:09.240 --> 0:14:11.760
<v Speaker 5>moment where you have to convert the PDF into a

0:14:11.800 --> 0:14:14.920
<v Speaker 5>word document and start editing the work word document it's

0:14:14.960 --> 0:14:17.120
<v Speaker 5>like the true bane of my existence. And I've actually

0:14:17.120 --> 0:14:21.240
<v Speaker 5>started using this AI program which it's called brief Point AI,

0:14:22.040 --> 0:14:26.240
<v Speaker 5>and and they are it's also very templated, right, so

0:14:26.480 --> 0:14:30.040
<v Speaker 5>you're constantly trying to find templates. Hey, other associated in

0:14:30.040 --> 0:14:32.760
<v Speaker 5>this law firm, can you send me, you know, a

0:14:32.760 --> 0:14:34.080
<v Speaker 5>previous document?

0:14:34.320 --> 0:14:35.680
<v Speaker 4>Now I can?

0:14:35.960 --> 0:14:40.400
<v Speaker 5>They have you know, eighty different objections that you're used

0:14:40.400 --> 0:14:43.200
<v Speaker 5>to making, and they convert them and it's a lot

0:14:43.240 --> 0:14:45.320
<v Speaker 5>more pointing click And of course you have to know

0:14:45.600 --> 0:14:48.880
<v Speaker 5>what you're doing when you're you know that these objections

0:14:48.920 --> 0:14:53.240
<v Speaker 5>are valid. But just the document formatting and getting it through,

0:14:53.880 --> 0:14:57.720
<v Speaker 5>you know, and it looked to look good and and

0:14:57.760 --> 0:15:01.200
<v Speaker 5>not have to fight with Microsoft Word for three hours

0:15:01.320 --> 0:15:02.480
<v Speaker 5>is really valuable.

0:15:02.840 --> 0:15:05.640
<v Speaker 3>I realized I should have asked this earlier. But when

0:15:05.640 --> 0:15:08.480
<v Speaker 3>we say AI, what does that actually entail in the

0:15:08.560 --> 0:15:11.200
<v Speaker 3>legal field, Because, as you point out, I mean template

0:15:11.320 --> 0:15:13.880
<v Speaker 3>standard forms, those sort of things have been around forever

0:15:14.640 --> 0:15:17.600
<v Speaker 3>and a lot of law firms already use template software

0:15:17.720 --> 0:15:22.240
<v Speaker 3>to quickly duplicate ork or make document packages or whatever.

0:15:22.560 --> 0:15:25.680
<v Speaker 3>So when we talk about AI in law, what exactly

0:15:25.720 --> 0:15:26.200
<v Speaker 3>would that be?

0:15:26.640 --> 0:15:28.040
<v Speaker 4>I think it can be a lot of things.

0:15:28.120 --> 0:15:31.720
<v Speaker 5>One, it can be making that template process a lot faster,

0:15:32.000 --> 0:15:35.400
<v Speaker 5>and uh, you know that will free up labor time

0:15:35.520 --> 0:15:40.720
<v Speaker 5>for sure. The you know Chatgypts three pro is doing

0:15:40.800 --> 0:15:43.440
<v Speaker 5>legal research now that is quite excellent.

0:15:43.560 --> 0:15:46.720
<v Speaker 2>This is really important. People who think that this that

0:15:47.080 --> 0:15:49.760
<v Speaker 2>three is dumb or is a hallucination machine are not

0:15:50.520 --> 0:15:52.960
<v Speaker 2>or that chagpts have not used oh three.

0:15:53.040 --> 0:15:54.240
<v Speaker 4>That's that's my view.

0:15:54.320 --> 0:15:57.680
<v Speaker 5>And you know, there's this professor at Georgetown I think

0:15:57.680 --> 0:16:01.080
<v Speaker 5>its name is Danny Wels Townsend who's just sort of

0:16:01.160 --> 0:16:03.680
<v Speaker 5>every time a new model has been coming out, has

0:16:03.760 --> 0:16:07.880
<v Speaker 5>been running sort of exam questions that he gives to

0:16:07.920 --> 0:16:10.360
<v Speaker 5>his students. I think it's in his Federal Courts class

0:16:10.920 --> 0:16:14.560
<v Speaker 5>about you know, how they do on each of these questions.

0:16:14.600 --> 0:16:16.920
<v Speaker 5>And when O three came out, not even O three PRO.

0:16:17.000 --> 0:16:21.400
<v Speaker 5>When O three came out, it was it answered them all,

0:16:21.520 --> 0:16:25.680
<v Speaker 5>some of them excellently, and even got what he was

0:16:25.720 --> 0:16:28.320
<v Speaker 5>called an issue spotter question. So it wasn't on the

0:16:28.360 --> 0:16:31.560
<v Speaker 5>face of the question it was an appellate jurisdiction question.

0:16:31.920 --> 0:16:34.680
<v Speaker 5>If you really were thinking hard about it as a student,

0:16:34.960 --> 0:16:37.480
<v Speaker 5>you would have noticed this issue that he wasn't asking

0:16:37.520 --> 0:16:40.640
<v Speaker 5>about explicitly. But there might not have been jurisdiction to

0:16:40.640 --> 0:16:42.960
<v Speaker 5>even bring the appeal that he prompted you about. And

0:16:43.040 --> 0:16:46.200
<v Speaker 5>O three caught that. And when I've used it, you know,

0:16:46.240 --> 0:16:49.520
<v Speaker 5>you hear a lot of these cases lawyers getting sanctioned

0:16:49.960 --> 0:16:53.200
<v Speaker 5>because they're, you know, submitting things with hallucinated cases.

0:16:53.680 --> 0:16:55.600
<v Speaker 3>And there's some funny examples of that.

0:16:55.680 --> 0:16:56.840
<v Speaker 4>They're they're amazing.

0:16:56.960 --> 0:16:59.360
<v Speaker 5>And the thing I think to myself is you would

0:16:59.400 --> 0:17:02.240
<v Speaker 5>never admit as a as a partner at a law firm,

0:17:02.280 --> 0:17:05.080
<v Speaker 5>you'd never submit whatever the junior associate just turned over

0:17:05.080 --> 0:17:08.400
<v Speaker 5>to you. Sometimes they didn't understand the case exactly right.

0:17:08.760 --> 0:17:13.200
<v Speaker 5>And so that's the job is checking the cases. Shepherdizing

0:17:13.320 --> 0:17:16.400
<v Speaker 5>is the I think the Lexus term for it, and

0:17:16.440 --> 0:17:18.560
<v Speaker 5>making sure the cases stand for what they say, that

0:17:18.600 --> 0:17:19.840
<v Speaker 5>they're still valid precedent.

0:17:19.960 --> 0:17:21.520
<v Speaker 4>That's the job of being a lawyer.

0:17:22.240 --> 0:17:26.040
<v Speaker 5>And now I can rely on three to start some

0:17:26.160 --> 0:17:28.320
<v Speaker 5>of the research for me, point me even just to

0:17:28.400 --> 0:17:30.679
<v Speaker 5>point me to the cases and exciting to the cases.

0:17:30.720 --> 0:17:34.320
<v Speaker 5>And this is without access to Bloomberg Law or Thompson

0:17:34.400 --> 0:17:37.399
<v Speaker 5>Reuters or anything like that. I assume it's coming and

0:17:37.840 --> 0:17:42.280
<v Speaker 5>once it's going to be integrated with those databases of cases.

0:17:42.359 --> 0:17:45.920
<v Speaker 5>Right now, it's just trawling the Internet. I think it's

0:17:45.960 --> 0:17:50.000
<v Speaker 5>going to do a fantastic job. And you spend so

0:17:50.080 --> 0:17:52.720
<v Speaker 5>much time as a lawyer, as a litigator thinking of

0:17:52.760 --> 0:17:56.360
<v Speaker 5>the Boollyan search terms for lexus, the and or these

0:17:56.359 --> 0:17:59.240
<v Speaker 5>sorts of things, and you don't know the exact term

0:17:59.240 --> 0:18:01.320
<v Speaker 5>that's going to come up in case, you know what

0:18:01.359 --> 0:18:05.840
<v Speaker 5>the all of the precedent use this term, and not

0:18:05.920 --> 0:18:07.560
<v Speaker 5>having to think about that, I can run it in

0:18:07.600 --> 0:18:10.200
<v Speaker 5>the background as I'm doing another task and for twenty

0:18:10.200 --> 0:18:12.679
<v Speaker 5>minutes and something comes back from three It's got the

0:18:12.720 --> 0:18:14.679
<v Speaker 5>five cases that I need to to dig in and

0:18:14.760 --> 0:18:18.200
<v Speaker 5>find the right you know, language to then go on

0:18:18.320 --> 0:18:20.240
<v Speaker 5>Lexus and then to chase it down.

0:18:20.320 --> 0:18:23.399
<v Speaker 2>I've been using three more for just sort of my

0:18:23.440 --> 0:18:27.560
<v Speaker 2>own like intellectual questions from time lawsuits. No, I haven't

0:18:28.000 --> 0:18:32.119
<v Speaker 2>done any I haven't started any lawsuits yet. But this

0:18:32.320 --> 0:18:34.280
<v Speaker 2>is really the way that I've been using it, which

0:18:34.320 --> 0:18:37.680
<v Speaker 2>is that it's a fantastic tool for just like discovering

0:18:37.720 --> 0:18:42.200
<v Speaker 2>the existing research that's out there. I was looking at

0:18:42.240 --> 0:18:46.480
<v Speaker 2>something I was curious about, like trade barriers within China

0:18:46.520 --> 0:18:49.119
<v Speaker 2>between provinces, you know, something like that. There is a

0:18:49.119 --> 0:18:51.119
<v Speaker 2>lot of research that's been done on the question of

0:18:51.160 --> 0:18:53.600
<v Speaker 2>like Okay, if each of these provinces has some motivation

0:18:54.040 --> 0:18:56.159
<v Speaker 2>to promote their champions, is there any tension?

0:18:56.280 --> 0:18:56.760
<v Speaker 1>There is something?

0:18:56.800 --> 0:18:59.840
<v Speaker 2>I would have it found all of this all. It

0:19:00.240 --> 0:19:04.560
<v Speaker 2>had the links to the academic research that's been about it.

0:19:04.560 --> 0:19:07.440
<v Speaker 2>It had summaries of them. The summaries may have been wrong,

0:19:07.800 --> 0:19:10.399
<v Speaker 2>but I'm not in the I'm not going to like

0:19:10.440 --> 0:19:12.440
<v Speaker 2>copy and past summaries and present it as my work.

0:19:12.480 --> 0:19:14.600
<v Speaker 2>I could click on it most of the time, it is,

0:19:14.800 --> 0:19:18.520
<v Speaker 2>they are pretty correct. It's so what you say in

0:19:18.600 --> 0:19:21.120
<v Speaker 2>terms of like just even like being able to find

0:19:21.119 --> 0:19:24.840
<v Speaker 2>the relevant case law, et cetera, seems extremely powerful and

0:19:24.880 --> 0:19:25.399
<v Speaker 2>time saving.

0:19:25.720 --> 0:19:28.760
<v Speaker 5>It's truly been life changing for me. Well, and I

0:19:28.920 --> 0:19:31.040
<v Speaker 5>like doing legal research. I like getting into the cases,

0:19:31.080 --> 0:19:34.000
<v Speaker 5>but just you know, if there's a new issue and

0:19:34.840 --> 0:19:37.840
<v Speaker 5>you just don't know where to start, you know, that's

0:19:38.000 --> 0:19:40.360
<v Speaker 5>that It was always I think for a juniors, where

0:19:40.400 --> 0:19:42.600
<v Speaker 5>do I start? And I think it will make their

0:19:42.640 --> 0:19:45.560
<v Speaker 5>life easier in that regard, even if it might also

0:19:45.680 --> 0:19:46.640
<v Speaker 5>make their.

0:19:46.600 --> 0:19:47.920
<v Speaker 1>Lives you know hard.

0:19:55.680 --> 0:20:00.399
<v Speaker 3>Okay, time saving making associates lives easier, that sounds great

0:20:00.960 --> 0:20:03.320
<v Speaker 3>from a personal perspective, but what does that actually mean

0:20:03.320 --> 0:20:06.800
<v Speaker 3>for billable hours? Because of course, the whole business model

0:20:06.880 --> 0:20:10.080
<v Speaker 3>seems to rely on eking out as much work as

0:20:10.119 --> 0:20:14.040
<v Speaker 3>many billable hours as possible, right, and that includes grunt work,

0:20:14.080 --> 0:20:17.040
<v Speaker 3>which theoretically could be done by AI. Now, and I'm

0:20:17.040 --> 0:20:20.520
<v Speaker 3>not sure Big law or any law is going to

0:20:20.560 --> 0:20:26.720
<v Speaker 3>be necessarily incentivized to use AI if it means a

0:20:26.800 --> 0:20:29.720
<v Speaker 3>reduction in billable hours. I suppose they could make it

0:20:29.800 --> 0:20:32.720
<v Speaker 3>up in volume. Maybe that's that's the idea they can

0:20:32.720 --> 0:20:36.479
<v Speaker 3>take on more cases. But is that the expectation they

0:20:36.560 --> 0:20:38.439
<v Speaker 3>might be able to make it up in volume. I

0:20:38.560 --> 0:20:43.040
<v Speaker 3>do think things like they call them alternate fee arrangements

0:20:43.040 --> 0:20:46.080
<v Speaker 3>are going to become more popular. We get a flat

0:20:46.119 --> 0:20:48.840
<v Speaker 3>fee of let's say five million dollars to do this

0:20:49.119 --> 0:20:50.240
<v Speaker 3>deal for you or something like.

0:20:50.160 --> 0:20:52.119
<v Speaker 1>That, then you're incentivized to do it in the fewest

0:20:52.119 --> 0:20:53.520
<v Speaker 1>hours possible. That's right, keep going.

0:20:54.200 --> 0:20:57.439
<v Speaker 5>So that's one possibility that the model just changes the

0:20:57.440 --> 0:21:00.479
<v Speaker 5>billable hour, it stops being the model. The other thing is,

0:21:00.920 --> 0:21:03.240
<v Speaker 5>you know the way it works right now is it's

0:21:03.280 --> 0:21:05.920
<v Speaker 5>been a while for me, so you know, the big partners,

0:21:06.000 --> 0:21:08.320
<v Speaker 5>let's say they're building out at two thousand dollars an

0:21:08.320 --> 0:21:11.040
<v Speaker 5>hour or fifteen hundred dollars an hour and the associates

0:21:11.040 --> 0:21:13.359
<v Speaker 5>are seven hundred dollars an hour. I think in a

0:21:13.400 --> 0:21:16.560
<v Speaker 5>lot of ways, what the client is paying for is

0:21:16.600 --> 0:21:19.359
<v Speaker 5>the is really like five thousand dollars an hour for

0:21:19.440 --> 0:21:23.600
<v Speaker 5>the partner and four hundred or three hundred for the associate.

0:21:24.760 --> 0:21:28.119
<v Speaker 5>But it just gets built out sept differently. And I

0:21:28.119 --> 0:21:31.520
<v Speaker 5>think one thing is that partners might just accrue a

0:21:31.520 --> 0:21:34.240
<v Speaker 5>lot more of the value with fewer associates. They still

0:21:34.280 --> 0:21:36.560
<v Speaker 5>have the billd hours, they're just a lot more efficient.

0:21:37.400 --> 0:21:40.840
<v Speaker 5>And you know, in particular, I think for general counsels

0:21:40.840 --> 0:21:45.280
<v Speaker 5>who are hiring at the big law firms, they're hiring

0:21:45.440 --> 0:21:48.440
<v Speaker 5>for safety. You know, nobody ever got fired for hiring Cravat.

0:21:48.600 --> 0:21:50.800
<v Speaker 5>It's sort of like a way to think about this

0:21:50.960 --> 0:21:54.200
<v Speaker 5>or a big law firm, if something goes wrong, you

0:21:54.280 --> 0:21:57.359
<v Speaker 5>want to have hired the best lawyer you could and

0:21:57.440 --> 0:22:01.200
<v Speaker 5>say to your board or your CEO, look I hired

0:22:01.200 --> 0:22:04.240
<v Speaker 5>a great law firm, and they just they just missed it.

0:22:04.280 --> 0:22:06.320
<v Speaker 5>But look this is everybody agrees this is a great

0:22:06.400 --> 0:22:09.320
<v Speaker 5>law firm. Which is all to just say that. I

0:22:09.359 --> 0:22:12.359
<v Speaker 5>think one possibility here is the bill hour remains, but

0:22:12.440 --> 0:22:15.879
<v Speaker 5>all the value accruise to the top top lawyer.

0:22:15.960 --> 0:22:18.720
<v Speaker 2>Yeah, I mean that seems like it'll have implications. We

0:22:18.760 --> 0:22:22.000
<v Speaker 2>should talk about that further. Something I have done is

0:22:22.119 --> 0:22:28.240
<v Speaker 2>I'll take episodes transcripts of odd lats, and afterwards I'll

0:22:28.280 --> 0:22:31.159
<v Speaker 2>do a little self criticism session. Well, I'll like say, like,

0:22:31.160 --> 0:22:34.520
<v Speaker 2>where could we have pressed this? Where were the weaknesses

0:22:34.720 --> 0:22:35.480
<v Speaker 2>in the guests?

0:22:35.720 --> 0:22:36.120
<v Speaker 1>Answer?

0:22:36.480 --> 0:22:39.480
<v Speaker 2>Where should we have pressed further and harder? What were

0:22:39.480 --> 0:22:42.560
<v Speaker 2>some of the logical flaws? What would you have done differently? Etcetera?

0:22:42.600 --> 0:22:44.840
<v Speaker 2>And sometimes I've found that to be useful. Have you

0:22:44.880 --> 0:22:48.840
<v Speaker 2>been able to use AI for essentially like building better

0:22:49.200 --> 0:22:52.639
<v Speaker 2>arguments or finding weaknesses in an argument or anything like

0:22:52.680 --> 0:22:53.320
<v Speaker 2>that yet.

0:22:53.200 --> 0:22:55.840
<v Speaker 5>I haven't done that yet. I'm sure I will. I

0:22:55.920 --> 0:22:58.680
<v Speaker 5>have used it for taking audio and making it into

0:22:58.800 --> 0:23:01.720
<v Speaker 5>oh transcripts. I mean that's just like a foundational thing

0:23:01.760 --> 0:23:06.119
<v Speaker 5>for me. Prison will produce an audio of a hearing

0:23:06.200 --> 0:23:08.359
<v Speaker 5>or something like that, and I need the transcript and

0:23:08.400 --> 0:23:10.439
<v Speaker 5>I need to like just read it instead of listening

0:23:10.480 --> 0:23:11.520
<v Speaker 5>to it for forty minutes.

0:23:11.920 --> 0:23:15.080
<v Speaker 2>But self criticism, Yeah, but it also it does sound

0:23:15.160 --> 0:23:18.480
<v Speaker 2>like you mentioned the issue spotter question, like actually being

0:23:18.520 --> 0:23:22.200
<v Speaker 2>able to identify real legal questions.

0:23:22.040 --> 0:23:23.840
<v Speaker 3>Not just an identify precedent.

0:23:23.960 --> 0:23:27.399
<v Speaker 2>Yeah, not just identify president, but actually logical sequences or

0:23:27.480 --> 0:23:30.080
<v Speaker 2>where like it sounds like if you're getting.

0:23:29.800 --> 0:23:31.040
<v Speaker 4>That, I'm sure it is coming.

0:23:31.080 --> 0:23:35.639
<v Speaker 5>And I think as I, you know, get as the

0:23:35.680 --> 0:23:38.000
<v Speaker 5>models get better, and I have to produce a brief

0:23:38.040 --> 0:23:40.960
<v Speaker 5>and maybe I can start running it through. Of course,

0:23:41.040 --> 0:23:45.920
<v Speaker 5>lawyers all have huge confidentiality concerns so everything they do,

0:23:46.280 --> 0:23:50.320
<v Speaker 5>so I'm very careful about what I'm putting into GPT. Yeah,

0:23:50.880 --> 0:23:52.959
<v Speaker 5>you know, and I can run your own deep sea instance.

0:23:53.200 --> 0:23:55.040
<v Speaker 5>I think that that's right. And I think the big

0:23:55.119 --> 0:23:57.760
<v Speaker 5>law firms are having sort of servers on site with

0:23:57.800 --> 0:24:00.880
<v Speaker 5>their own models, but those models aren't as good as

0:24:01.560 --> 0:24:05.480
<v Speaker 5>three yet, and so I think as you can start

0:24:05.520 --> 0:24:09.040
<v Speaker 5>to have great models in house on your own servers,

0:24:09.160 --> 0:24:12.479
<v Speaker 5>that's going to really be the thing that launches it.

0:24:12.560 --> 0:24:14.480
<v Speaker 5>I can't do that because it's just me and I'm

0:24:14.520 --> 0:24:16.679
<v Speaker 5>not going to host a server farm, but I do know,

0:24:16.840 --> 0:24:19.280
<v Speaker 5>right the new Apple chips on these very nice the

0:24:19.320 --> 0:24:22.960
<v Speaker 5>news they can run you know, things like Lama very well,

0:24:23.160 --> 0:24:26.600
<v Speaker 5>and so it's coming. But I think for the top models,

0:24:26.640 --> 0:24:29.359
<v Speaker 5>I'm sort of reluctant to put everything up there that

0:24:29.400 --> 0:24:29.920
<v Speaker 5>makes sense.

0:24:30.359 --> 0:24:32.919
<v Speaker 3>This is exactly what I was going to ask next,

0:24:33.040 --> 0:24:36.159
<v Speaker 3>which is how do clients feel about AI in the

0:24:36.240 --> 0:24:39.520
<v Speaker 3>legal industry, because I imagine, you know, nobody ever got

0:24:39.560 --> 0:24:42.800
<v Speaker 3>fired for hiring Kravath as you mentioned, or some other

0:24:42.960 --> 0:24:46.639
<v Speaker 3>magic circle law firm. But on the other hand, if

0:24:46.720 --> 0:24:50.480
<v Speaker 3>Kravath is now using AI, I imagine on the client side,

0:24:50.600 --> 0:24:56.000
<v Speaker 3>maybe there's some concern over having their material contracts or

0:24:56.080 --> 0:25:00.800
<v Speaker 3>employee data or financing documents or whatever getting uploads to

0:25:00.960 --> 0:25:03.880
<v Speaker 3>off site servers. And then there's also the question of

0:25:04.000 --> 0:25:06.879
<v Speaker 3>what if AI just makes a mistake, although, as you

0:25:06.920 --> 0:25:11.040
<v Speaker 3>pointed out, no partner would ever submit something done by

0:25:11.040 --> 0:25:14.240
<v Speaker 3>a junior associate without actually reviewing it first, so maybe

0:25:14.240 --> 0:25:16.400
<v Speaker 3>that's not as much of an issue. But are there

0:25:16.480 --> 0:25:20.359
<v Speaker 3>any qualms I guess coming from the client side that

0:25:20.400 --> 0:25:21.320
<v Speaker 3>you see.

0:25:21.480 --> 0:25:25.800
<v Speaker 5>So I can't speak to the big law as much

0:25:25.880 --> 0:25:29.760
<v Speaker 5>any sure, And it's very different I think on my side,

0:25:29.800 --> 0:25:33.280
<v Speaker 5>and I think, you know, my clients are their qualms

0:25:33.280 --> 0:25:35.800
<v Speaker 5>are much sort of bigger in terms of privacy and

0:25:36.640 --> 0:25:39.400
<v Speaker 5>much more you know, focused on the government and are

0:25:39.400 --> 0:25:42.399
<v Speaker 5>wanting to get just the best representation they can. So

0:25:42.960 --> 0:25:46.840
<v Speaker 5>but for example, I'm getting medical records from my clients

0:25:46.960 --> 0:25:48.639
<v Speaker 5>a lot. That's a lot of the job of a

0:25:48.640 --> 0:25:52.840
<v Speaker 5>plaintiff side lawyer is documenting injuries things like that, and

0:25:52.880 --> 0:25:56.399
<v Speaker 5>they're certainly concerned about their medical privacy, and so I can't,

0:25:56.440 --> 0:26:00.240
<v Speaker 5>you know, use AI yet to take the medical recD

0:26:00.359 --> 0:26:04.679
<v Speaker 5>and condense them into you know, the quick summaries. But

0:26:05.119 --> 0:26:07.919
<v Speaker 5>those programs I'm sure are coming where you know you

0:26:07.960 --> 0:26:11.399
<v Speaker 5>have there's there's privacy and security and all of the things.

0:26:11.600 --> 0:26:13.960
<v Speaker 5>They probably exist already. I'm just not using them yet

0:26:14.280 --> 0:26:18.240
<v Speaker 5>to make that part feasible. I am sure that you know,

0:26:18.280 --> 0:26:20.560
<v Speaker 5>if you are Goldman Sachs and you hire a big

0:26:20.600 --> 0:26:23.639
<v Speaker 5>law firm and they've been doing your your deals or

0:26:23.760 --> 0:26:27.119
<v Speaker 5>your IPOs such as they exist right now, and you

0:26:27.160 --> 0:26:30.439
<v Speaker 5>don't want the law firm training on your documents to

0:26:30.480 --> 0:26:33.520
<v Speaker 5>go use them in other deals. I'm sure this is

0:26:33.760 --> 0:26:36.920
<v Speaker 5>an issue. On the other hand, you know it might

0:26:37.160 --> 0:26:39.440
<v Speaker 5>reduce your legal costs by by half, and you can

0:26:39.440 --> 0:26:42.080
<v Speaker 5>fight about that, and so you know what they're willing

0:26:42.119 --> 0:26:42.359
<v Speaker 5>to do.

0:26:42.480 --> 0:26:43.399
<v Speaker 4>I don't. I don't know.

0:26:43.920 --> 0:26:48.359
<v Speaker 2>Let's extend forth some of these economic questions, because allowing

0:26:48.520 --> 0:26:52.520
<v Speaker 2>the senior partners to accrue more value by not needing

0:26:52.680 --> 0:26:55.760
<v Speaker 2>to allocate as many hours to the junior lawyers, that

0:26:55.840 --> 0:27:00.480
<v Speaker 2>makes total sense for this specific generation, right, because Okay,

0:27:00.560 --> 0:27:03.200
<v Speaker 2>some people are lucky enough to have made partner before AI,

0:27:03.440 --> 0:27:04.840
<v Speaker 2>and then other people are going to be in this

0:27:04.920 --> 0:27:08.320
<v Speaker 2>situation which their value may be could be done more

0:27:08.359 --> 0:27:10.920
<v Speaker 2>cheaply or for a few hours, but ten years from

0:27:10.960 --> 0:27:13.440
<v Speaker 2>now whatever, a lot of those partners are gonna be retired, etc.

0:27:13.840 --> 0:27:17.840
<v Speaker 2>Like what is the downstream consequence of your view in

0:27:17.880 --> 0:27:20.719
<v Speaker 2>your view of some of these shifts that happen right now,

0:27:20.760 --> 0:27:23.480
<v Speaker 2>because you know, eventually all the partners you know, ventually

0:27:23.480 --> 0:27:25.400
<v Speaker 2>Evere's get die and there's gonna be new, Like where

0:27:25.400 --> 0:27:25.879
<v Speaker 2>does this go?

0:27:26.040 --> 0:27:28.359
<v Speaker 1>Like what's the next? What are the consequences?

0:27:28.520 --> 0:27:32.480
<v Speaker 5>So I think that the skills that will be valued

0:27:32.560 --> 0:27:35.080
<v Speaker 5>in lawyers are just going to change a lot. The

0:27:35.440 --> 0:27:40.560
<v Speaker 5>interpersonal skills of client management, walking your client through the

0:27:40.720 --> 0:27:43.479
<v Speaker 5>risks that they have, their nervous they're getting sued. These

0:27:43.480 --> 0:27:47.320
<v Speaker 5>are bet the company litigations. The lawyers who can make

0:27:47.359 --> 0:27:51.359
<v Speaker 5>them feel safe and let them understand what's happening to

0:27:51.440 --> 0:27:54.359
<v Speaker 5>them and what their odds are. Those sorts of things.

0:27:54.720 --> 0:27:57.560
<v Speaker 5>The lawyers who are great at taking depositions and the

0:27:57.640 --> 0:28:00.560
<v Speaker 5>lawyers who are great at oral argument, those skills are

0:28:00.600 --> 0:28:03.280
<v Speaker 5>going to go up and up. I think in skill

0:28:03.720 --> 0:28:07.800
<v Speaker 5>in value and the skill of legal research or just

0:28:07.880 --> 0:28:10.600
<v Speaker 5>being great at writing a brief, I do think that

0:28:10.600 --> 0:28:13.240
<v Speaker 5>that's going to get maybe not the ninety ninth percentile

0:28:13.280 --> 0:28:15.240
<v Speaker 5>brief writing the people who are going to the Supreme

0:28:15.280 --> 0:28:17.320
<v Speaker 5>Court and who are just truly excellent.

0:28:17.359 --> 0:28:18.320
<v Speaker 4>Maybe that will take time.

0:28:18.600 --> 0:28:22.600
<v Speaker 5>But the sort of gruntwork, you know, solid junior associate,

0:28:22.720 --> 0:28:25.720
<v Speaker 5>mid level associate, senior associate who are writing the brief,

0:28:26.880 --> 0:28:30.600
<v Speaker 5>that I question whether that skill will have the same value.

0:28:30.640 --> 0:28:34.359
<v Speaker 5>But there's a lot of interpersonal skill that matters a

0:28:34.400 --> 0:28:36.439
<v Speaker 5>lot for being a lawyer, and that's going to go

0:28:36.520 --> 0:28:37.040
<v Speaker 5>up in value.

0:28:37.200 --> 0:28:42.200
<v Speaker 2>Now. Question with any new technology is does it because

0:28:42.240 --> 0:28:44.840
<v Speaker 2>one argument is clearly, okay, there's an x amount of

0:28:45.280 --> 0:28:48.720
<v Speaker 2>demand for legal services and there's an x amount of

0:28:48.720 --> 0:28:52.040
<v Speaker 2>people who supply them, and maybe you save some money.

0:28:52.400 --> 0:28:56.240
<v Speaker 2>Could the market for legal services grow such that if

0:28:56.440 --> 0:28:58.880
<v Speaker 2>capacity to do legal research and some of this other

0:28:58.880 --> 0:29:02.120
<v Speaker 2>stuff gets cheaper, that there are more areas it's like, oh,

0:29:02.200 --> 0:29:04.360
<v Speaker 2>you know what, maybe this is worth filing the laws.

0:29:05.360 --> 0:29:08.240
<v Speaker 3>This was actually going to be my question as well,

0:29:08.280 --> 0:29:13.520
<v Speaker 3>but particularly for poorer plaintiffs who normally can't afford a lawyer,

0:29:13.680 --> 0:29:14.680
<v Speaker 3>what did they call them.

0:29:14.520 --> 0:29:17.600
<v Speaker 5>In indigent and they sometimes will file pro se and

0:29:17.680 --> 0:29:18.760
<v Speaker 5>their on behalf.

0:29:18.800 --> 0:29:19.320
<v Speaker 1>Or maybe more.

0:29:19.400 --> 0:29:22.720
<v Speaker 2>Lawyers like you take on cases, take other cases that

0:29:23.600 --> 0:29:26.160
<v Speaker 2>five years ago the economics wouldn't have made sense, but

0:29:26.240 --> 0:29:27.680
<v Speaker 2>today the economics made sense.

0:29:27.680 --> 0:29:30.080
<v Speaker 1>Like could it just be you know, Jevin's paradox?

0:29:30.160 --> 0:29:33.160
<v Speaker 5>But for law I think that's absolutely going to happen.

0:29:33.240 --> 0:29:34.560
<v Speaker 5>You know, I can just sort of walk through the

0:29:34.600 --> 0:29:37.240
<v Speaker 5>economics in one of my cases. You know, somebody comes

0:29:37.280 --> 0:29:39.280
<v Speaker 5>in and they say they had a false arrest case

0:29:39.320 --> 0:29:43.240
<v Speaker 5>against the NYPD and they spent let's say five hours

0:29:43.240 --> 0:29:46.800
<v Speaker 5>in custody. We sort of know what the expected value

0:29:46.800 --> 0:29:49.200
<v Speaker 5>of that case is. You know, you're doing what chance

0:29:49.200 --> 0:29:51.080
<v Speaker 5>are you do you have to win? And what are

0:29:51.120 --> 0:29:53.120
<v Speaker 5>the damages you are going to get when you win?

0:29:53.240 --> 0:29:55.200
<v Speaker 5>And I can sort of and then I I a

0:29:55.240 --> 0:29:59.240
<v Speaker 5>contingency fee, typically a third in New York, and you

0:29:59.280 --> 0:30:01.280
<v Speaker 5>can sort of do that math of the expected value

0:30:01.320 --> 0:30:02.920
<v Speaker 5>of the case and then think about how many hours

0:30:02.960 --> 0:30:05.760
<v Speaker 5>it's going to take to win that case or get

0:30:05.840 --> 0:30:10.520
<v Speaker 5>to a settlement. And if I'm using AI to make

0:30:10.560 --> 0:30:13.719
<v Speaker 5>myself more productive in my research, the number of hours

0:30:13.760 --> 0:30:15.880
<v Speaker 5>that I'm expecting to put into that case goes down.

0:30:16.200 --> 0:30:19.560
<v Speaker 5>Suddenly my hurdle rate for you know, what it takes

0:30:19.600 --> 0:30:21.720
<v Speaker 5>to take on that case has gone down, and I

0:30:21.760 --> 0:30:24.400
<v Speaker 5>can take on more cases for the same number of hours.

0:30:24.880 --> 0:30:27.360
<v Speaker 5>And so that I definitely think is coming. It's also

0:30:27.400 --> 0:30:30.200
<v Speaker 5>the case that right and because of that, because lawyers

0:30:30.240 --> 0:30:32.000
<v Speaker 5>have to think in that term of you know, how

0:30:32.040 --> 0:30:34.040
<v Speaker 5>much is it going to cost me to do this

0:30:34.120 --> 0:30:36.480
<v Speaker 5>case in terms of labor, there are a lot of

0:30:36.600 --> 0:30:40.040
<v Speaker 5>cases brought pro sae in the court system right now.

0:30:40.080 --> 0:30:43.040
<v Speaker 5>I think it's like twenty twenty five percent of cases

0:30:43.040 --> 0:30:45.760
<v Speaker 5>are from pro se litigants. These are other people represent

0:30:45.800 --> 0:30:48.160
<v Speaker 5>the who represent themselves because they can't afford a lawyer

0:30:48.280 --> 0:30:50.520
<v Speaker 5>or you know, my cases are contingency. People aren't paying

0:30:50.520 --> 0:30:53.480
<v Speaker 5>out of pocket, but so I can't afford to take

0:30:53.520 --> 0:30:56.280
<v Speaker 5>on the case because the damages aren't potentially high enough.

0:30:56.320 --> 0:30:57.320
<v Speaker 4>That's how I have to sort.

0:30:57.160 --> 0:30:59.600
<v Speaker 5>Of think about it. And so I think there's going

0:30:59.640 --> 0:31:02.640
<v Speaker 5>to be a lot more representation.

0:31:02.240 --> 0:31:02.840
<v Speaker 4>Of those people.

0:31:02.880 --> 0:31:05.320
<v Speaker 5>It's also the case probably that pro say it lawyers

0:31:05.360 --> 0:31:08.880
<v Speaker 5>are going to start getting better that you know, you

0:31:08.960 --> 0:31:11.240
<v Speaker 5>said you were doing research on your own, you know,

0:31:11.280 --> 0:31:15.000
<v Speaker 5>with three it's possible that you know, if it was

0:31:15.080 --> 0:31:18.120
<v Speaker 5>just a little dispute with somebody over some amount of money.

0:31:18.160 --> 0:31:20.479
<v Speaker 5>You might think I can do this myself rather than

0:31:20.520 --> 0:31:23.440
<v Speaker 5>trying to go find a lawyer. And so, you know,

0:31:23.480 --> 0:31:26.120
<v Speaker 5>but for legal aid, for people who are criminal defense

0:31:26.120 --> 0:31:28.280
<v Speaker 5>attorneys at legal aid, those attorneys that I think are

0:31:28.280 --> 0:31:30.840
<v Speaker 5>about to go on because of how overworked they are

0:31:30.880 --> 0:31:33.920
<v Speaker 5>and underpaid they are, they they might get a lot

0:31:33.920 --> 0:31:36.240
<v Speaker 5>more efficient and be able to represent a lot more people.

0:31:36.360 --> 0:31:40.000
<v Speaker 2>Tracy, I'm imagining a lot of very annoyed judges by

0:31:40.120 --> 0:31:40.640
<v Speaker 2>like pro.

0:31:40.640 --> 0:31:42.080
<v Speaker 1>Saying frivolous lawsuits.

0:31:42.160 --> 0:31:44.080
<v Speaker 2>No I mean no, I mean like someone who did

0:31:44.120 --> 0:31:46.600
<v Speaker 2>their own research, because nothing's more annoying than someone who

0:31:46.600 --> 0:31:48.840
<v Speaker 2>does their own research. And then they're like they're like

0:31:49.080 --> 0:31:51.960
<v Speaker 2>citing all these cases that they learned about yesterday and

0:31:51.960 --> 0:31:54.280
<v Speaker 2>stuff like that. Like it just seems like you have

0:31:54.320 --> 0:31:58.280
<v Speaker 2>a high potential for obnoxious, obnoxious people who think.

0:31:58.160 --> 0:32:01.160
<v Speaker 3>They know No, no, you're democratized in case. Yeah, that's

0:32:01.160 --> 0:32:01.640
<v Speaker 3>what I say.

0:32:01.720 --> 0:32:03.720
<v Speaker 4>I want to be clear, they're already getting that.

0:32:04.000 --> 0:32:06.560
<v Speaker 5>The judges are getting a lot of it, especially pro

0:32:06.600 --> 0:32:08.600
<v Speaker 5>SA prisoners who get to spend a lot of time

0:32:09.160 --> 0:32:11.560
<v Speaker 5>in the legal librarian or filing cases. And some of

0:32:11.560 --> 0:32:15.320
<v Speaker 5>them are excellent, but sometimes they're not so good. I

0:32:15.440 --> 0:32:17.600
<v Speaker 5>clerk for a federal judge, and we saw a lot

0:32:17.640 --> 0:32:20.600
<v Speaker 5>of this litigation, a lot of it pro se. I

0:32:20.640 --> 0:32:23.719
<v Speaker 5>don't know that they're you know, providing AI access in

0:32:23.760 --> 0:32:28.160
<v Speaker 5>prisons unfortunately in terms of litigation. But I think, I

0:32:28.200 --> 0:32:29.840
<v Speaker 5>actually think there are going to be a lot of

0:32:29.880 --> 0:32:32.640
<v Speaker 5>annoyed judges because there's going this is going to happen.

0:32:32.680 --> 0:32:35.200
<v Speaker 5>It also might be the case that it raises the

0:32:35.240 --> 0:32:38.360
<v Speaker 5>floor of You see a lot of bad legal writing,

0:32:38.400 --> 0:32:41.400
<v Speaker 5>even from lawyers, and I could see it getting it

0:32:41.440 --> 0:32:43.960
<v Speaker 5>actually getting a little bit easier to be a judge and.

0:32:43.880 --> 0:32:48.320
<v Speaker 3>A clerk if everything becomes more volume oriented or the

0:32:48.320 --> 0:32:51.440
<v Speaker 3>business model becomes more about the volume rather than the

0:32:51.440 --> 0:32:55.600
<v Speaker 3>billable hours. Do you see a situation where I guess

0:32:56.400 --> 0:33:00.640
<v Speaker 3>the emphasis on sourcing deals in corporate law or sourcing

0:33:00.720 --> 0:33:05.400
<v Speaker 3>cases in plaintiff, Does that become more important, Like that's

0:33:05.440 --> 0:33:07.840
<v Speaker 3>the skill set that you actually need, that sort of

0:33:07.880 --> 0:33:09.280
<v Speaker 3>like matchmaker process.

0:33:09.600 --> 0:33:11.480
<v Speaker 4>I think that there's yes.

0:33:11.600 --> 0:33:16.320
<v Speaker 5>I think finding the deals, making the economics of the

0:33:16.520 --> 0:33:20.240
<v Speaker 5>of the relationship work is going to go up a

0:33:20.280 --> 0:33:23.880
<v Speaker 5>lot in value. You know, I think it's already the case.

0:33:23.720 --> 0:33:28.360
<v Speaker 5>You all see legal advertisements for personal injury lawyers everywhere

0:33:28.440 --> 0:33:32.760
<v Speaker 5>all the time. So I mean legal search terms on

0:33:33.320 --> 0:33:37.719
<v Speaker 5>Google are the most expensive cost per click. I mean

0:33:37.800 --> 0:33:41.240
<v Speaker 5>these thousands of dollars for cost per click. Case acquisition.

0:33:41.400 --> 0:33:44.640
<v Speaker 5>I think is might go up even more because if

0:33:44.640 --> 0:33:47.240
<v Speaker 5>you can just get the case in and you're still

0:33:47.360 --> 0:33:50.200
<v Speaker 5>you're working less on the case, but you're still getting

0:33:50.200 --> 0:33:53.200
<v Speaker 5>your third contingency fee, you might be willing to pay

0:33:53.240 --> 0:33:55.720
<v Speaker 5>even more and more to just generate this volume. I

0:33:55.720 --> 0:33:59.360
<v Speaker 5>mean already mills exist, they call them, you know, plaintiff's mills.

0:33:59.440 --> 0:34:02.320
<v Speaker 5>People who are doing you know, six hundred cases per

0:34:02.600 --> 0:34:04.640
<v Speaker 5>you know, every couple of attorneys or something like that.

0:34:04.840 --> 0:34:07.440
<v Speaker 5>The economics of that and just acquiring the case are

0:34:07.480 --> 0:34:10.080
<v Speaker 5>going to go I think, way way up until maybe

0:34:10.080 --> 0:34:12.040
<v Speaker 5>they start competing on price because they can do so

0:34:12.080 --> 0:34:12.760
<v Speaker 5>much more volume.

0:34:12.840 --> 0:34:14.080
<v Speaker 1>I want to talk about advertising.

0:34:14.239 --> 0:34:16.560
<v Speaker 2>Have you, Tracy Orgel, have either of you heard the

0:34:16.640 --> 0:34:18.319
<v Speaker 2>radio ads for top Dog Law?

0:34:18.880 --> 0:34:19.080
<v Speaker 4>Yes?

0:34:19.440 --> 0:34:20.360
<v Speaker 3>I have not you.

0:34:20.560 --> 0:34:24.479
<v Speaker 2>Every listener go to YouTube and just type top Dog

0:34:24.640 --> 0:34:27.680
<v Speaker 2>Law ad. They're the most incredible, aren't they, Joel, Like

0:34:27.719 --> 0:34:28.680
<v Speaker 2>they're really incredible.

0:34:29.239 --> 0:34:29.399
<v Speaker 3>Yes.

0:34:30.080 --> 0:34:32.200
<v Speaker 2>Just go search right now or when the episode and

0:34:32.239 --> 0:34:35.400
<v Speaker 2>listen to some of these and do you buy ads

0:34:36.080 --> 0:34:36.640
<v Speaker 2>on Google?

0:34:36.960 --> 0:34:40.960
<v Speaker 5>I've done some Google ad campaigns. I haven't really there's

0:34:41.000 --> 0:34:44.080
<v Speaker 5>actually another topic we're interested in. But a lot of

0:34:44.360 --> 0:34:47.240
<v Speaker 5>I mean a lot of plaintiff side civil rights lawyers

0:34:47.280 --> 0:34:50.560
<v Speaker 5>are buying. It's just not how I've chosen to compete.

0:34:50.600 --> 0:34:53.480
<v Speaker 5>I do more referrals from defense lawyers that sort of thing.

0:34:53.880 --> 0:34:58.160
<v Speaker 5>But I mean I actually have started to think about, Right,

0:34:58.440 --> 0:35:01.640
<v Speaker 5>we know this stuff about young people are starting to

0:35:01.800 --> 0:35:05.960
<v Speaker 5>use chat, GPT and other services as they're sort of

0:35:06.040 --> 0:35:08.759
<v Speaker 5>portal to the Internet. They're using it for search and

0:35:08.840 --> 0:35:10.919
<v Speaker 5>so right, all of these law firms spend a lot

0:35:10.960 --> 0:35:14.960
<v Speaker 5>on SEO, but what is SEO in a generative AI

0:35:15.239 --> 0:35:18.120
<v Speaker 5>world is sort of an interesting question? What are people

0:35:18.400 --> 0:35:21.719
<v Speaker 5>what are the engines turning up in terms of search terms?

0:35:21.760 --> 0:35:23.520
<v Speaker 5>What do you have to have on your website in

0:35:23.600 --> 0:35:27.439
<v Speaker 5>order to get people to find you through GPT rather

0:35:27.480 --> 0:35:28.000
<v Speaker 5>than Google?

0:35:28.320 --> 0:35:30.440
<v Speaker 3>Is Lexus and Nexus doing anything what they are?

0:35:30.840 --> 0:35:31.239
<v Speaker 4>They are?

0:35:31.680 --> 0:35:34.920
<v Speaker 5>I have not really used their AI products Lexus and

0:35:34.960 --> 0:35:36.439
<v Speaker 5>I know West Law is doing the same.

0:35:36.840 --> 0:35:37.640
<v Speaker 4>I use Lexus.

0:35:37.760 --> 0:35:41.160
<v Speaker 5>I assume Bloomberg Law, which is also is doing something similar.

0:35:41.360 --> 0:35:46.600
<v Speaker 5>But right now the models that they're using just aren't

0:35:46.719 --> 0:35:47.560
<v Speaker 5>as good as three.

0:35:47.719 --> 0:35:49.479
<v Speaker 4>It's basically and so if.

0:35:49.400 --> 0:35:53.880
<v Speaker 5>You're still calling to a four era GPT or similar

0:35:54.200 --> 0:35:57.640
<v Speaker 5>from claud or whatever, that sort of quality, I just

0:35:57.640 --> 0:36:00.640
<v Speaker 5>don't think that they're getting good enough recent I think

0:36:00.719 --> 0:36:03.920
<v Speaker 5>it really was whatever that step change was to O

0:36:04.040 --> 0:36:08.239
<v Speaker 5>three's level, I think has made the research so much

0:36:08.480 --> 0:36:10.560
<v Speaker 5>better that I just use it, and then I'll go

0:36:10.880 --> 0:36:12.520
<v Speaker 5>look at all the cases on lexus.

0:36:12.560 --> 0:36:16.359
<v Speaker 2>The difference in what you can actually learn from four

0:36:16.760 --> 0:36:19.080
<v Speaker 2>h or whatever for zero, I don't the name it.

0:36:19.120 --> 0:36:21.840
<v Speaker 2>Convention first all three it really is a very big deal.

0:36:22.040 --> 0:36:24.359
<v Speaker 2>And I think like a lot of people formed impressions

0:36:25.000 --> 0:36:28.719
<v Speaker 2>pre three impressions. What other tools are out there that

0:36:28.760 --> 0:36:32.359
<v Speaker 2>are interesting or that come across your world, whether it's

0:36:32.480 --> 0:36:34.279
<v Speaker 2>like I mean, you know, we've been talking a lot

0:36:34.280 --> 0:36:36.600
<v Speaker 2>about three, and you mentioned that other one brief something.

0:36:36.680 --> 0:36:39.440
<v Speaker 2>Is there anything else out there that's exciting or interesting

0:36:39.520 --> 0:36:40.160
<v Speaker 2>or promising.

0:36:40.280 --> 0:36:43.080
<v Speaker 5>There's one I looked at that look promising. Uh, it's

0:36:43.120 --> 0:36:47.520
<v Speaker 5>like Ecutis or ike iq Idis something like that, and

0:36:47.560 --> 0:36:50.280
<v Speaker 5>they looked pretty interesting in terms of sort of being

0:36:50.600 --> 0:36:53.600
<v Speaker 5>full swite and wrap around. There's Harvey AI, but they're

0:36:53.640 --> 0:36:56.040
<v Speaker 5>really focused on big law firms. But I know that

0:36:56.080 --> 0:36:59.000
<v Speaker 5>they're working with a lot of big firms. But you know,

0:36:59.040 --> 0:37:02.520
<v Speaker 5>the technology you know, for me that looks promising would

0:37:02.560 --> 0:37:05.440
<v Speaker 5>be people where I can safely upload medical records and

0:37:05.520 --> 0:37:08.360
<v Speaker 5>get instead of trawling through two hundred three hundred pages

0:37:08.440 --> 0:37:10.359
<v Speaker 5>just like what was each progress note?

0:37:10.400 --> 0:37:11.760
<v Speaker 4>What did it say? What's the injury?

0:37:11.840 --> 0:37:14.319
<v Speaker 5>That sort of thing, And I think that's coming there

0:37:14.400 --> 0:37:17.640
<v Speaker 5>are I think it's maybe something from case text or

0:37:17.800 --> 0:37:23.160
<v Speaker 5>that summarizes depositions. And of course that's another thing where

0:37:23.880 --> 0:37:25.560
<v Speaker 5>I've tried to use it in the past and it

0:37:25.600 --> 0:37:28.160
<v Speaker 5>wasn't very good. I think just the context windows that

0:37:28.200 --> 0:37:31.840
<v Speaker 5>they were able to use haven't been sufficiently large. But

0:37:31.960 --> 0:37:36.800
<v Speaker 5>I think with RAG and with more and with better models,

0:37:36.840 --> 0:37:39.160
<v Speaker 5>I think that will get better and better, you know,

0:37:39.280 --> 0:37:41.719
<v Speaker 5>like this is the Ben Thompson line of this is

0:37:41.760 --> 0:37:44.080
<v Speaker 5>the worst there ever going to be? Yeah, is something

0:37:44.120 --> 0:37:47.120
<v Speaker 5>that I'm constantly trying to think about because I've used

0:37:47.120 --> 0:37:49.600
<v Speaker 5>these these products in the past or tested them and

0:37:49.640 --> 0:37:52.440
<v Speaker 5>they haven't been very impressive. But I also used four

0:37:52.480 --> 0:37:54.600
<v Speaker 5>oh and wasn't very impressed at it's legal research and

0:37:54.640 --> 0:37:57.840
<v Speaker 5>have seen that jump. And so I assume in terms

0:37:57.880 --> 0:38:01.920
<v Speaker 5>of taking depositions and and getting concise summaries, of the

0:38:02.000 --> 0:38:03.920
<v Speaker 5>most important facts for your case. That's going to get

0:38:03.920 --> 0:38:06.919
<v Speaker 5>a lot better. I just think the products aren't there yet.

0:38:06.920 --> 0:38:09.799
<v Speaker 5>And maybe because the API calls for the lms just

0:38:09.960 --> 0:38:12.480
<v Speaker 5>aren't to their newest models yet, or it's too expensive.

0:38:12.920 --> 0:38:15.959
<v Speaker 5>But I assume that's getting cheaper every you know, more's

0:38:16.000 --> 0:38:16.760
<v Speaker 5>loss still applies.

0:38:17.320 --> 0:38:19.120
<v Speaker 3>If you had to bet, if you had to put

0:38:19.200 --> 0:38:22.600
<v Speaker 3>actual money on this question, would you say there will

0:38:22.640 --> 0:38:28.480
<v Speaker 3>be more or less lawyers, say ten years from now as.

0:38:28.320 --> 0:38:29.640
<v Speaker 1>A percent the population.

0:38:29.880 --> 0:38:31.920
<v Speaker 4>Yeah, that's a great question.

0:38:32.080 --> 0:38:33.120
<v Speaker 3>Thank you for the caveat check.

0:38:33.239 --> 0:38:35.680
<v Speaker 4>It's important and I hadn't I hadn't thought about this one.

0:38:35.880 --> 0:38:36.880
<v Speaker 4>I would.

0:38:37.960 --> 0:38:41.880
<v Speaker 5>I would bet on fewer, but not that much. I

0:38:41.880 --> 0:38:45.960
<v Speaker 5>would say, I don't think this is, you know, going

0:38:46.040 --> 0:38:48.960
<v Speaker 5>to wipe out lawyers. I think fewer and what they

0:38:49.000 --> 0:38:50.160
<v Speaker 5>do will change a lot.

0:38:50.960 --> 0:38:55.759
<v Speaker 2>Could you imagine, you know, tech people are obsessed with

0:38:55.880 --> 0:38:58.839
<v Speaker 2>the mythical who will be the first person to have

0:38:58.880 --> 0:39:03.200
<v Speaker 2>a billion dollars startup with no employees? Could that be like, okay,

0:39:03.239 --> 0:39:06.320
<v Speaker 2>you have you hung a shingle out. I think sometimes

0:39:06.320 --> 0:39:12.600
<v Speaker 2>people use Could you imagine a megafirm with one employee?

0:39:12.920 --> 0:39:16.560
<v Speaker 5>I could imagine mega lawyer with you know, so right,

0:39:16.640 --> 0:39:20.080
<v Speaker 5>you think of se Selena and Barnes, those sorts of big,

0:39:20.120 --> 0:39:23.840
<v Speaker 5>big plaintiffs law firms. I think they that I actually

0:39:23.840 --> 0:39:26.360
<v Speaker 5>don't know, but it's a lot, and it's all across

0:39:26.400 --> 0:39:30.360
<v Speaker 5>the country. But so much of what they do is

0:39:31.040 --> 0:39:34.120
<v Speaker 5>make the discovery demand, respond to the demands, do the

0:39:34.440 --> 0:39:37.560
<v Speaker 5>get the medical records, send out a settlement demand letter,

0:39:38.120 --> 0:39:42.760
<v Speaker 5>Negotiate with the opposing council or the carrier from the insurer.

0:39:43.000 --> 0:39:46.319
<v Speaker 5>You know, my client has a torn rotator cuff and

0:39:46.360 --> 0:39:49.360
<v Speaker 5>a torn meniscus or something like that from this car accident,

0:39:49.719 --> 0:39:52.719
<v Speaker 5>and they have an exact expected value of the case,

0:39:52.800 --> 0:39:55.439
<v Speaker 5>and it's just negotiating that. And I think they could

0:39:55.440 --> 0:39:58.719
<v Speaker 5>go from you know, let's say one hundred cases per

0:39:58.719 --> 0:40:01.319
<v Speaker 5>attorney to a thousand or two two thousand because they

0:40:01.320 --> 0:40:05.399
<v Speaker 5>could set up an automated workflow a lot easier, I think,

0:40:05.440 --> 0:40:08.840
<v Speaker 5>And so you know, that person could could start making

0:40:09.120 --> 0:40:12.160
<v Speaker 5>fifty million or one hundred million a year per one lawyer.

0:40:12.239 --> 0:40:15.040
<v Speaker 5>Then the you know already five million that they're making

0:40:15.120 --> 0:40:15.879
<v Speaker 5>or something like that.

0:40:16.000 --> 0:40:16.880
<v Speaker 4>These top firms.

0:40:16.960 --> 0:40:19.640
<v Speaker 2>One last little question I mentioned your a poker player.

0:40:19.800 --> 0:40:22.080
<v Speaker 2>In poker, you know, big thing has been the emergence

0:40:22.080 --> 0:40:24.319
<v Speaker 2>of solvers and you go back and you like, look

0:40:24.320 --> 0:40:26.600
<v Speaker 2>at that, did you play it very well? But it's

0:40:26.640 --> 0:40:28.960
<v Speaker 2>all about what you kind of what you described of,

0:40:29.040 --> 0:40:32.160
<v Speaker 2>like your calculator EV right and.

0:40:32.120 --> 0:40:33.680
<v Speaker 1>Did you play it right? And you don't always win.

0:40:33.719 --> 0:40:36.200
<v Speaker 2>And you may have calculated ev right and you took

0:40:36.200 --> 0:40:38.560
<v Speaker 2>on the case, but you don't get the outcome. How

0:40:39.160 --> 0:40:43.000
<v Speaker 2>scientific is that the calculating evy on a given case

0:40:43.040 --> 0:40:45.759
<v Speaker 2>and has it is there a technology that's working on that?

0:40:46.000 --> 0:40:49.040
<v Speaker 5>So it's not very scientific at all. You know, it's

0:40:49.120 --> 0:40:53.680
<v Speaker 5>a you can assess liability, I think pretty reasonably. Is

0:40:53.719 --> 0:40:56.120
<v Speaker 5>this going to be something where we're definitely going to win?

0:40:56.160 --> 0:40:59.600
<v Speaker 5>You know, the personal injury car accident lawyers to say,

0:41:00.080 --> 0:41:02.200
<v Speaker 5>you know, the police report says this person made an

0:41:02.200 --> 0:41:05.240
<v Speaker 5>a legal left turn. Perfect liability. I'm going to win instantly,

0:41:05.239 --> 0:41:07.960
<v Speaker 5>and then you're just evaluating the damages. One thing I've

0:41:07.960 --> 0:41:13.800
<v Speaker 5>actually explored is is looking into whether lms can estimate

0:41:14.080 --> 0:41:17.880
<v Speaker 5>the damages based on the injuries that you describe pretty well.

0:41:17.960 --> 0:41:20.880
<v Speaker 5>Go through the case law where there's cases this is

0:41:20.880 --> 0:41:24.439
<v Speaker 5>called remitted, or cases where you might hear like, oh,

0:41:24.520 --> 0:41:27.560
<v Speaker 5>this person got one hundred million dollars for their you know,

0:41:27.800 --> 0:41:30.000
<v Speaker 5>hot coffee or whatever. You know, these sort of classic cases,

0:41:30.040 --> 0:41:31.880
<v Speaker 5>and a judge will knock it down. They'll say, this

0:41:32.000 --> 0:41:35.440
<v Speaker 5>case with this injury is only worth this much. But

0:41:35.560 --> 0:41:38.120
<v Speaker 5>you could take all that language and start to estimate,

0:41:38.360 --> 0:41:42.400
<v Speaker 5>you know, quantify because words or numbers. With these programs,

0:41:42.400 --> 0:41:45.840
<v Speaker 5>you could start to quantify what are the injuries worth

0:41:46.000 --> 0:41:48.160
<v Speaker 5>in the in the case law and then multiply that

0:41:48.239 --> 0:41:50.120
<v Speaker 5>by So I think that sort of thing is going

0:41:50.160 --> 0:41:53.600
<v Speaker 5>to get a lot more scientific, and they're going to

0:41:53.719 --> 0:41:56.120
<v Speaker 5>use it on the carrier side. So Geico is going

0:41:56.200 --> 0:41:59.040
<v Speaker 5>to be able to say, you know, you've described these injuries.

0:41:59.040 --> 0:42:01.759
<v Speaker 5>We have a database of a thousand cases just like this,

0:42:01.880 --> 0:42:03.520
<v Speaker 5>and this was what we you know, and then you

0:42:03.520 --> 0:42:05.440
<v Speaker 5>could haggle, oh, well this is a great plaintiff or

0:42:05.560 --> 0:42:09.360
<v Speaker 5>something like that, and they're super sympathetic and you know,

0:42:09.440 --> 0:42:13.440
<v Speaker 5>have that negotiation. But I think that process of evaluating

0:42:13.480 --> 0:42:16.839
<v Speaker 5>the exact value of an injury or of a case

0:42:16.960 --> 0:42:21.000
<v Speaker 5>is going to get a lot more scientific and facilitate

0:42:21.080 --> 0:42:22.840
<v Speaker 5>settlements to happen quicker.

0:42:23.239 --> 0:42:26.680
<v Speaker 3>I imagine AI might be especially useful in class action

0:42:26.800 --> 0:42:30.920
<v Speaker 3>lawsuits as well, where you're dealing with like finding thousands

0:42:30.920 --> 0:42:33.680
<v Speaker 3>of people potentially to attach to a case and then

0:42:33.719 --> 0:42:36.319
<v Speaker 3>actually contacting them and getting information from them.

0:42:36.800 --> 0:42:38.840
<v Speaker 4>That seems reasonable to me.

0:42:38.920 --> 0:42:40.920
<v Speaker 5>Also, in the class action cases, you just got a

0:42:41.160 --> 0:42:44.200
<v Speaker 5>volume of data that you have to do discovery on.

0:42:44.640 --> 0:42:46.759
<v Speaker 5>But it hadn't occurred to me. But you know, I

0:42:46.800 --> 0:42:49.680
<v Speaker 5>do know that sometimes class actions start because somebody finds

0:42:49.680 --> 0:42:52.200
<v Speaker 5>a Reddit thread and they see on Reddit, you know,

0:42:52.520 --> 0:42:54.880
<v Speaker 5>all the people are all complaining about this same issue

0:42:54.880 --> 0:42:58.760
<v Speaker 5>with this product or something like that, and the lawyers,

0:42:59.000 --> 0:43:01.759
<v Speaker 5>you know, reach out to them, and so it is

0:43:02.040 --> 0:43:02.920
<v Speaker 5>entirely possible.

0:43:03.080 --> 0:43:04.080
<v Speaker 4>I could I could see that.

0:43:04.320 --> 0:43:07.040
<v Speaker 3>That's another thing where you could have AI just trawling

0:43:07.200 --> 0:43:09.360
<v Speaker 3>the internet for possible cases.

0:43:09.680 --> 0:43:10.640
<v Speaker 4>I think so.

0:43:10.840 --> 0:43:13.760
<v Speaker 5>Or you know, what are people posting about on Twitter?

0:43:13.800 --> 0:43:15.160
<v Speaker 5>What are they all getting harmed by?

0:43:15.200 --> 0:43:18.600
<v Speaker 4>I don't know. So it's it seems entirely plausible.

0:43:18.960 --> 0:43:20.040
<v Speaker 1>Since you mentioned it.

0:43:20.120 --> 0:43:22.759
<v Speaker 2>I just want to say you mentioned illegal lefts and

0:43:22.880 --> 0:43:27.959
<v Speaker 2>tracy and listeners. I had a issue last year whereight

0:43:29.120 --> 0:43:31.120
<v Speaker 2>I'm not going to get into it, but it involved

0:43:31.120 --> 0:43:32.320
<v Speaker 2>taking an illegal left.

0:43:32.200 --> 0:43:33.760
<v Speaker 3>Turn a criminal.

0:43:34.640 --> 0:43:35.080
<v Speaker 1>I'm not.

0:43:36.480 --> 0:43:37.480
<v Speaker 3>Where you found innocent.

0:43:38.320 --> 0:43:39.920
<v Speaker 1>I am not a criminal.

0:43:40.120 --> 0:43:44.720
<v Speaker 2>Thanks to a referral that our guest here, Joel helped

0:43:44.840 --> 0:43:46.120
<v Speaker 2>make for me. I'm not going to say it. We're

0:43:46.120 --> 0:43:47.640
<v Speaker 2>not going to talk anymore about the case. It was

0:43:47.719 --> 0:43:50.680
<v Speaker 2>super annoying. I'm not gonna say anything more, but I

0:43:50.800 --> 0:43:53.640
<v Speaker 2>just want to. I'm it's my disclosure for this episode.

0:43:53.840 --> 0:43:56.279
<v Speaker 2>So Joel Wertheimer, thank you so much for coming on

0:43:56.320 --> 0:43:56.799
<v Speaker 2>odd last.

0:43:56.840 --> 0:43:57.600
<v Speaker 1>That was fantastic.

0:43:57.640 --> 0:43:58.479
<v Speaker 4>Thank you for having me.

0:44:12.800 --> 0:44:13.200
<v Speaker 1>Tracy.

0:44:13.239 --> 0:44:17.040
<v Speaker 2>Before we talk about conclusions, I must press upon listeners

0:44:17.080 --> 0:44:20.200
<v Speaker 2>again to search for top dog law firm ads. In fact,

0:44:20.239 --> 0:44:22.960
<v Speaker 2>after we do this episode, we walk back to our desk, Tracy,

0:44:23.280 --> 0:44:25.240
<v Speaker 2>I'm going to insist that you watch.

0:44:25.000 --> 0:44:25.520
<v Speaker 1>A few of them.

0:44:25.680 --> 0:44:27.920
<v Speaker 3>I love that your priority for this episode. The one

0:44:27.960 --> 0:44:30.160
<v Speaker 3>thing you must get out of this episode is listening

0:44:30.160 --> 0:44:31.000
<v Speaker 3>to top dog ads.

0:44:31.040 --> 0:44:34.759
<v Speaker 2>No, I swear I was an uber home several months

0:44:34.840 --> 0:44:37.040
<v Speaker 2>ago and this ad came on the radio and just

0:44:37.040 --> 0:44:40.240
<v Speaker 2>like nothing I had ever heard my entire life. Nothing

0:44:40.280 --> 0:44:43.320
<v Speaker 2>will prepare you for this, this law firm's ads. Anyway,

0:44:43.760 --> 0:44:45.920
<v Speaker 2>I am very intrigued. Yeah, all right, well that was

0:44:45.920 --> 0:44:47.239
<v Speaker 2>a fantastic conversation.

0:44:47.440 --> 0:44:50.160
<v Speaker 3>Yeah. One thing I am wondering is, you know, in

0:44:50.200 --> 0:44:53.640
<v Speaker 3>the US, there's a lot of talk about an overly

0:44:54.239 --> 0:44:57.200
<v Speaker 3>litigious society, and I kind of wonder if AI is

0:44:57.280 --> 0:44:58.880
<v Speaker 3>potentially just going to make it worse.

0:44:59.200 --> 0:45:03.040
<v Speaker 2>It sounds very to me that it will make it

0:45:03.080 --> 0:45:05.640
<v Speaker 2>worse or better or worse. But I think, like, you know,

0:45:05.719 --> 0:45:07.799
<v Speaker 2>it does. My guess is that there's going to be

0:45:07.840 --> 0:45:11.040
<v Speaker 2>some sort of you know, Jeffen's paradox thing where like

0:45:11.200 --> 0:45:16.000
<v Speaker 2>some existing labor will get really cheap or maybe completely unnecessary,

0:45:16.520 --> 0:45:20.279
<v Speaker 2>and then other you know, the optimistic version is that

0:45:20.640 --> 0:45:23.279
<v Speaker 2>defendants or people without a lot of money get better

0:45:23.360 --> 0:45:26.799
<v Speaker 2>quality representation. I get, you know, it feels like it's

0:45:26.840 --> 0:45:29.880
<v Speaker 2>not gonna just it's gonna probably have very big distributional

0:45:29.960 --> 0:45:31.800
<v Speaker 2>and qualitative shifts on the industry.

0:45:32.239 --> 0:45:34.680
<v Speaker 3>Yeah, and this is the thing I'm also wondering. So, Okay,

0:45:34.880 --> 0:45:39.160
<v Speaker 3>junior associates, maybe they they're doing less work, maybe they're

0:45:39.200 --> 0:45:43.080
<v Speaker 3>slightly happier. But I guess the idea that more of

0:45:43.120 --> 0:45:45.799
<v Speaker 3>the value just accrues to the partners at a time

0:45:45.880 --> 0:45:49.719
<v Speaker 3>when it's harder to become partner. Uh, that seems to

0:45:49.719 --> 0:45:51.960
<v Speaker 3>be the downside if you're going into the legal profession.

0:45:52.080 --> 0:45:53.440
<v Speaker 1>Yeah, no, totally.

0:45:53.480 --> 0:45:56.759
<v Speaker 2>Like it feels like we're at this moment and this

0:45:56.920 --> 0:46:00.480
<v Speaker 2>applies to a lot of actually AI economics quest and

0:46:00.520 --> 0:46:04.719
<v Speaker 2>we should definitely do more on them where people imagine

0:46:04.960 --> 0:46:07.840
<v Speaker 2>or people maybe even rightly surmised that you know, there

0:46:07.840 --> 0:46:11.319
<v Speaker 2>will be a lot of benefits for you know, existing

0:46:11.960 --> 0:46:16.080
<v Speaker 2>holders of wealth or companies can do layoffs, right, and

0:46:16.360 --> 0:46:18.520
<v Speaker 2>I don't know the degree to that which is really happening,

0:46:18.560 --> 0:46:20.400
<v Speaker 2>but at least in theory, and there's going to be

0:46:20.560 --> 0:46:23.799
<v Speaker 2>firing of junior workers, et cetera. But that's like a

0:46:23.840 --> 0:46:28.480
<v Speaker 2>temporary condition because you know, first of all, like, Okay,

0:46:28.520 --> 0:46:31.360
<v Speaker 2>a company saves a bunch of money by firing what

0:46:31.440 --> 0:46:34.560
<v Speaker 2>eventually becomes characterized as gruntwork. Well, what do they spend

0:46:34.560 --> 0:46:36.960
<v Speaker 2>that money on, right, because that's savings and so does

0:46:37.000 --> 0:46:39.640
<v Speaker 2>that do they invest in? Does that turn into consumption

0:46:39.920 --> 0:46:41.920
<v Speaker 2>for the partners? Like there are a lot of you know,

0:46:41.920 --> 0:46:43.799
<v Speaker 2>people are like, oh, it's gonna be mass layoffs. But

0:46:43.840 --> 0:46:46.319
<v Speaker 2>I never find these questions joy satisfying because the money

0:46:46.360 --> 0:46:51.080
<v Speaker 2>doesn't disappear. It's someone's savings, and someone's savings either become

0:46:51.280 --> 0:46:55.000
<v Speaker 2>someone's consumption or someone's investment, and its anyone's consumption or

0:46:55.040 --> 0:46:59.600
<v Speaker 2>investment becomes someone else's income. So therefore, you know, thinking

0:46:59.680 --> 0:47:02.360
<v Speaker 2>through some of these next level things I think is

0:47:02.400 --> 0:47:05.520
<v Speaker 2>really important. And AI clearly seemed just like ground zero,

0:47:05.880 --> 0:47:08.920
<v Speaker 2>and I do think O three is really good and

0:47:09.000 --> 0:47:11.520
<v Speaker 2>everyone no, seriously, everyone needs to check it out and

0:47:11.719 --> 0:47:13.920
<v Speaker 2>update their views if they haven't yet on the quality

0:47:13.960 --> 0:47:15.000
<v Speaker 2>of the research you can do.

0:47:15.680 --> 0:47:18.840
<v Speaker 3>It does sound like it's maybe solved. The hallucination problem

0:47:19.120 --> 0:47:21.080
<v Speaker 3>was that everyone was making fun of earlier.

0:47:21.200 --> 0:47:23.719
<v Speaker 2>Yeah, I mean like they're still there for sure. But

0:47:23.880 --> 0:47:26.800
<v Speaker 2>because you can actually find links to documents and stuff

0:47:26.800 --> 0:47:28.680
<v Speaker 2>like that, the speed with which you can get up

0:47:28.719 --> 0:47:31.400
<v Speaker 2>to speed on anything is very impressive.

0:47:31.520 --> 0:47:33.319
<v Speaker 3>All right, I'm gonna go test it. Shall we leave

0:47:33.320 --> 0:47:33.520
<v Speaker 3>it there?

0:47:33.600 --> 0:47:34.319
<v Speaker 1>Let's leave it there.

0:47:34.520 --> 0:47:37.120
<v Speaker 3>This has been another episode of the Oudlots podcast. I'm

0:47:37.160 --> 0:47:39.760
<v Speaker 3>Tracy Alloway. You can follow me at Tracy Alloway.

0:47:39.920 --> 0:47:42.680
<v Speaker 2>And I'm Jill Wisenthal. You can follow me at the Stalwart.

0:47:42.840 --> 0:47:46.719
<v Speaker 2>Follow our guest on Blue Sky Jill Wertheimer. He's at Worthwhile.

0:47:47.120 --> 0:47:50.239
<v Speaker 2>Follow our producers Carmen Rodriguez at Carman armand dash Ol

0:47:50.239 --> 0:47:53.200
<v Speaker 2>Bennett at Dashbod and Keil Brooks at Kilbrooks. From our

0:47:53.200 --> 0:47:55.879
<v Speaker 2>Oddlots content, go to bloomberg dot com slash odd Lots,

0:47:55.880 --> 0:47:57.719
<v Speaker 2>where we have a daily newsletter and all of our

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<v Speaker 2>episodes and you can chat about all of these topics.

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<v Speaker 2>Twenty four to seven in our discord. We even have

0:48:02.480 --> 0:48:03.120
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0:48:02.960 --> 0:48:05.799
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