WEBVTT - Judges Admit AI Mistakes & NBA Gambling Scandal

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<v Speaker 1>This is Bloomberg Law with June Grossel from Bloomberg Radio.

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<v Speaker 2>A lot of work goes into legal research and writing,

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<v Speaker 2>so using AI seems like a way to replicate some

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<v Speaker 2>of the very time consuming tasks, such as researching court

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<v Speaker 2>cases and citing them in legal briefs. And the legal

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<v Speaker 2>profession has seen a rise in the use of AI

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<v Speaker 2>in recent years. With lawyers facing increasing scrutiny and sometimes

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<v Speaker 2>finds from judges for the alleged misuse of AI as

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<v Speaker 2>fake case citations and other errors show up in legal filings,

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<v Speaker 2>you may ask how can lawyers fail to vet the

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<v Speaker 2>output of AI generated legal documents? And now another question,

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<v Speaker 2>how can judges fail to vet AI generated orders before

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<v Speaker 2>they go out from their chambers. In a response to

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<v Speaker 2>an inquiry from Senate Judiciary Chair Chuck Grassley, two federal judges,

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<v Speaker 2>one in New Jersey and the other in Mississippi, have

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<v Speaker 2>admitted that members of their staff used artificial intelligence to

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<v Speaker 2>help prepare orders that Grassy said were ever ridden. Joining

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<v Speaker 2>me is former federal judge Paul Grimm. He's the director

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<v Speaker 2>of the Bolt Judicial Institute at Duke Law School. Are

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<v Speaker 2>clerks and interns are they using AI? And doing research

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<v Speaker 2>and drafting opinions. Is that sort of the norm.

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<v Speaker 1>Yeah, I think right now the genies out of the

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<v Speaker 1>bottle on that Two or three years ago, the law

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<v Speaker 1>schools were really struggling with whether or not students should use,

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<v Speaker 1>be able to use artificial intelligence in their class work,

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<v Speaker 1>particularly during exams. And I think that probably the needles

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<v Speaker 1>moved to the point where the law schools recognize that

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<v Speaker 1>this demographic, these young people, they're using this in all

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<v Speaker 1>their aspects of their lives, and to try to expect

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<v Speaker 1>them not to use it in the practice of law,

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<v Speaker 1>especially when law firms have invested heavily in the use

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<v Speaker 1>of generative AI in their own business and practices, is

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<v Speaker 1>a futile thing. And so I think what the law

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<v Speaker 1>schools are trying to do now are teach the students

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<v Speaker 1>the proper use of it and are trying to teach them,

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<v Speaker 1>you know, the dues and don'ts of how it should

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<v Speaker 1>be used. And I think that as for the intern,

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<v Speaker 1>I think it was in the District of New Jersey

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<v Speaker 1>that use of AI was inconsistent with the judge's own

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<v Speaker 1>internal policy and chambers and also inconsistent with what the

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<v Speaker 1>law school policy was for use of this, So I

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<v Speaker 1>think that while there's no way of knowing whether it's

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<v Speaker 1>most students coming out of law school now, I think

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<v Speaker 1>probably it is the overwhelming majority are using this and

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<v Speaker 1>probably are at schools where they're being taught the proper

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<v Speaker 1>way to use it. And it's clear that, you know,

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<v Speaker 1>it's been over a year that the American Bar Association

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<v Speaker 1>it's Ethics Committee released formal ethics opinion five one two,

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<v Speaker 1>five twelve that deals with the ethical issues associated with

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<v Speaker 1>the use of artificial intelligence in the practice of law.

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<v Speaker 1>So that's over a year old, and the fact that

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<v Speaker 1>the ethics people are already starting to tell people how

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<v Speaker 1>you use it ethically is pretty clear indication that it's

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<v Speaker 1>being used broadly in law schools. And I think that

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<v Speaker 1>the students realize that they're going to be expected to

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<v Speaker 1>have this skill because the law firms are expecting it,

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<v Speaker 1>and that's how they're going to survive and thrive in

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<v Speaker 1>the law school environment. So I think that probably the

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<v Speaker 1>answer is, yes, they're using it, and that will only increase.

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<v Speaker 2>In the New Jersey case, the use of AI resulted

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<v Speaker 2>in a temporary restraining order that referred to parties allegations

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<v Speaker 2>and quotes unconnected to the case. So even if you

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<v Speaker 2>proofread the restraining order, wouldn't you see that there were

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<v Speaker 2>all these problems?

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<v Speaker 1>Yeah, in both of those cases, both the Southern District

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<v Speaker 1>of Mississippi and also the Digitut of New Jersey. I

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<v Speaker 1>think that in retrospect, it looks like if there had

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<v Speaker 1>been rigorous proofreading by the law clerks led by the

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<v Speaker 1>court the judge themselves, that this should have been caught.

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<v Speaker 1>And indeed, the Administrative Office of the US Court has

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<v Speaker 1>a task force which is dealing with the use of

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<v Speaker 1>AI by judges and chambers. That should be a national

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<v Speaker 1>policy across the United States in all of this SCT courts,

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<v Speaker 1>and that was issued on July thirty first of twenty

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<v Speaker 1>twenty five. And in his response to Senator Grassley's letter

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<v Speaker 1>asking for comments from the Federal Administraty Office of the

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<v Speaker 1>US Course about any policies dealing with the use of

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<v Speaker 1>the generals of AI and chambers, Judge Conrad, who is

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<v Speaker 1>the director of the AO, made reference to that. So

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<v Speaker 1>there's even interim guidance, and I think that one of

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<v Speaker 1>the things that is pretty clear from that guidance is

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<v Speaker 1>that the judges are responsible with in their chambers to

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<v Speaker 1>make sure that AI is not used for any core

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<v Speaker 1>judicial functions such as decision making or adjudication, and strongly

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<v Speaker 1>recommends independent verification before any generative AI is used for

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<v Speaker 1>any purpose. There are a number of purposes for which

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<v Speaker 1>it probably safely can be used, and there's guidance on that.

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<v Speaker 1>The National Center for State Courts, which is a terrific

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<v Speaker 1>organization that focuses on the state courts, and of course

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<v Speaker 1>they are far more state court judges than there are

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<v Speaker 1>federal judges, issued a seventeen page document on August seventh

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<v Speaker 1>of twenty twenty four titled Artificial Intelligence Guidance for the

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<v Speaker 1>Use of AI and Generative AI in the Courts, And

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<v Speaker 1>again it goes through extensive definitions of what AI is,

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<v Speaker 1>what kind of software applications, There are the ones that

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<v Speaker 1>are problematic, the ones that are more useful, how chambers

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<v Speaker 1>should operate. And similarly, this year, the Sedona Conference, which

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<v Speaker 1>is a think tank that has been around for many

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<v Speaker 1>years and is very influential in dealing with cutting edge

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<v Speaker 1>technology issues as they apply in the law, issued a

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<v Speaker 1>monograph in their journal called Navigating AI in the Judiciary

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<v Speaker 1>that was co authored by three statehourt judges and two

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<v Speaker 1>federal judges and a professor from Waterloo University that gives

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<v Speaker 1>an eight pages some really good guidance to judges as

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<v Speaker 1>to how they should and shouldn't use it. So I

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<v Speaker 1>think the key takeaway here is, you know, the genies

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<v Speaker 1>have a bottle. The stuff is being used. There's a

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<v Speaker 1>growing guidance in terms of how it can properly be

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<v Speaker 1>used and how it should probably not be used. And

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<v Speaker 1>just like courts initially were sanctioning and cautioning lawyers who

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<v Speaker 1>didn't use it correctly when they were citing JENAI created

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<v Speaker 1>content without checking it, I think the judges themselves are

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<v Speaker 1>learning that lesson that they're responsible crediting comes out of

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<v Speaker 1>their chambers and they have to manage interns in law

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<v Speaker 1>works and make sure that their procedures are complied with.

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<v Speaker 2>Coming up next, I'll continue this conversation with Judge Grimm.

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<v Speaker 2>So how much do judges actually vet the work of

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<v Speaker 2>their clerks? You're listening to Bloomberg. Two federal judges have

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<v Speaker 2>blamed faulty rulings on the use of artificial intelligence tools

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<v Speaker 2>by staff members at raises questions about how much they

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<v Speaker 2>scrutinize documents issued under their names. Federal judge Julian Neils

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<v Speaker 2>in New Jersey and Henry Wingate in Mississippi admitted to

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<v Speaker 2>the ai foibles in letters to the Administrative Office of

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<v Speaker 2>the US Courts. The answers were sent in response to

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<v Speaker 2>questions by Senate Judiciary Committee Chair Chuck Grassley. I've been

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<v Speaker 2>talking to former federal judge Paul Grimm, director of the

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<v Speaker 2>Bolt Judicial Institute at Duke Law School. So you have interns,

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<v Speaker 2>you have clerks. Does it depend on the judge how

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<v Speaker 2>much a judge puts into let's say, an opinion. Do

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<v Speaker 2>most judges at least read them over.

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<v Speaker 1>Yeah, it's a great question, and the answer is it

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<v Speaker 1>varies greatly with the chambers. I think as a bottom line,

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<v Speaker 1>I don't think it's a federal judge on the court. Now,

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<v Speaker 1>where it's take court judge who's hearing cases, they wouldn't

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<v Speaker 1>say that they read everything that goes out of their

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<v Speaker 1>chambers with their name on it. I mean, unless it's

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<v Speaker 1>a scheduling order, it's automatic. You know that says you know,

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<v Speaker 1>counselor will by such and such a date provide me

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<v Speaker 1>with the following information and we'll have a scheduling call,

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<v Speaker 1>but certainly no order coming out of a judges chamber

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<v Speaker 1>that deals with a substantive ruling on a case or

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<v Speaker 1>an evidentrary motion, you know, something that's going to decide

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<v Speaker 1>the merits. I don't think any judge would say that

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<v Speaker 1>it's appropriate or a judge to issue in order that

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<v Speaker 1>deals with the resolution of a substantive issue in a

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<v Speaker 1>case without having read it and verifying to the satisfaction

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<v Speaker 1>of that judge that it's legitimate. Now, some judges have

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<v Speaker 1>different ways of doing it. What I would do is,

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<v Speaker 1>once I had the initial conversation with them and they

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<v Speaker 1>sent me a draft, I would ask them to attach

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<v Speaker 1>to the draft a PDF copy of the cases that

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<v Speaker 1>they cited as this positive. Now, as you're aware, lots

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<v Speaker 1>of times there are cases that are just sort of

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<v Speaker 1>like a string site in five cases, and there's one

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<v Speaker 1>at a recent Court of Appeals, the Supreme Court case

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<v Speaker 1>that had the ruling and you're going to rely on it,

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<v Speaker 1>I would have them attached a PDF copy of that

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<v Speaker 1>and highlight for me in yellow highlighting the language that

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<v Speaker 1>they were relying on for what they said, and so

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<v Speaker 1>I can independently check it. That way. By giving it

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<v Speaker 1>to me that way, it's sped it up for me.

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<v Speaker 1>I didn't have to go on West Law or Nexus

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<v Speaker 1>and input it all and read it a lot of times.

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<v Speaker 1>You know, there's a lot of part of the case,

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<v Speaker 1>the initial part talking about the jurisdiction or the standard review.

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<v Speaker 1>That's really not important to what the ruling is. But

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<v Speaker 1>you want to look at the discussion on one particular

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<v Speaker 1>point of law. And by having the actual case and

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<v Speaker 1>having the highlighted section, I then had at my fingertips

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<v Speaker 1>what I needed to go through. Look at the opinion,

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<v Speaker 1>look at the authority, decide whether I thought, you know,

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<v Speaker 1>it was adequate for what was necessary, look at the

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<v Speaker 1>parties briefing again, and verify that before it went out.

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<v Speaker 1>But to your question, to you know, the caseloads of

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<v Speaker 1>an average federal judge probably runs between a low of

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<v Speaker 1>two hundred to three hundred cases to a high of

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<v Speaker 1>a thousand cases. And it depends upon what kind of

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<v Speaker 1>an order it is and how busy the court is.

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<v Speaker 1>And you know, no matter how hard the judges working

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<v Speaker 1>or what kind of safe cards they have in their chambers,

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<v Speaker 1>it's possible for things to slip through the cracks and

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<v Speaker 1>when it deals with new technology that people are perhaps

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<v Speaker 1>not as familiar with. There's going to be a learning

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<v Speaker 1>curve at the start, but I think the I think

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<v Speaker 1>the cast out of the bag now that the learning

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<v Speaker 1>curve time is over and you need to start using it,

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<v Speaker 1>you've got guidance that tells you how to do it.

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<v Speaker 1>I am quite sure. I'm quite sure that Judge Robin Rosenberg,

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<v Speaker 1>who is the director of the Federal Judicial Center, which

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<v Speaker 1>is the legal education arm for the Federal judiciary, she's

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<v Speaker 1>a fantastic judge. And I am quite sure that the

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<v Speaker 1>Baby Judge schools, the judge training programs that they have

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<v Speaker 1>every year for new judges and for judges, magestate judges,

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<v Speaker 1>bankruptcy judges, district judges, and circuit judges. I am sure

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<v Speaker 1>that there will be a segment on the proper use

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<v Speaker 1>of AI there because Judge Rosenberg will want to make

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<v Speaker 1>sure that the judges have the most recent guidance and

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<v Speaker 1>are aware of the pros and the pitch balls.

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<v Speaker 2>Let's say, have both sides using AI. Do you think

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<v Speaker 2>that this will lead to less innovative legal theories or

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<v Speaker 2>legal thinking because they're both using you know, whatever is

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<v Speaker 2>on AI.

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<v Speaker 1>That is a worry. There's a worry among law professors

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<v Speaker 1>that if students are taught to use AI, that their

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<v Speaker 1>own sort of creative approach to a subject will actucy

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<v Speaker 1>the critical reasoning skills. And I suppose if the lawyers

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<v Speaker 1>are doing that as well, there's always a risk that

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<v Speaker 1>it applies to them as well. What they submit, even

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<v Speaker 1>if they verify it and they get rid of the

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<v Speaker 1>whucinations and they submit the stuff which is real that

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<v Speaker 1>they got there through a curated analysis that was done

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<v Speaker 1>for them by AI. There's some law and technology people

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<v Speaker 1>computer scientists who have raised the specter of a problem

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<v Speaker 1>that can occur when you've got these large language model

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<v Speaker 1>programs like generative AI, is that you know, one of

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<v Speaker 1>the things that you worry about with AI is biased,

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<v Speaker 1>and it could be intentional bias, or it can be

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<v Speaker 1>inadvertent bias. But when you use a generative AI tool

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<v Speaker 1>and you put sort of a narrative inquiry, you know,

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<v Speaker 1>what are the key defenses to an any trust case

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<v Speaker 1>to the legs the following things in the second circuit

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<v Speaker 1>of the United States courts. And you ask a question

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<v Speaker 1>like that and it comes out and gives you a list,

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<v Speaker 1>and you follow up with a series of follow on questions,

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<v Speaker 1>which is sort of a natural progression that the algorithm

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<v Speaker 1>senses what you're interested in, senses what you're looking to do,

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<v Speaker 1>and starts to provide you with answers, even if they're

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<v Speaker 1>based upon legitimate legal sources, consistent with what it into

0:13:17.600 --> 0:13:22.880
<v Speaker 1>its your desired outcome is. And that's a real problem

0:13:23.080 --> 0:13:26.920
<v Speaker 1>because you know, I'm a dinosaur. When I started doing

0:13:27.000 --> 0:13:30.880
<v Speaker 1>legal research, you know, we had digests. There were no computers.

0:13:30.880 --> 0:13:33.520
<v Speaker 1>You would go to like contracts and you'd look through

0:13:33.520 --> 0:13:37.320
<v Speaker 1>this digest. It was like an old fashionist cyclopedia and

0:13:37.360 --> 0:13:39.559
<v Speaker 1>you'd be looking, you know, and you say, it's this

0:13:39.640 --> 0:13:41.280
<v Speaker 1>close to the problem I have. And then you would

0:13:41.280 --> 0:13:42.880
<v Speaker 1>go to a real book and you'd open it up,

0:13:42.880 --> 0:13:45.400
<v Speaker 1>you read the case, and then when you got a case,

0:13:45.440 --> 0:13:48.000
<v Speaker 1>you had a whole series of processes to make sure

0:13:48.040 --> 0:13:52.400
<v Speaker 1>the case was had not been overruled or modified, called shepherdization.

0:13:53.640 --> 0:13:57.040
<v Speaker 1>And what you did was in reading and kind of

0:13:57.040 --> 0:14:00.720
<v Speaker 1>going triangulating to all these different things. You might say, well,

0:14:00.720 --> 0:14:03.439
<v Speaker 1>you know, I thought it was contract, but it's really warranty,

0:14:03.480 --> 0:14:06.280
<v Speaker 1>which is sort of a sub issue of contract, but

0:14:06.320 --> 0:14:08.400
<v Speaker 1>it has its own set of rules, and you kind

0:14:08.440 --> 0:14:12.840
<v Speaker 1>of would learn through this trial and error that this

0:14:13.040 --> 0:14:16.640
<v Speaker 1>intuitive approach to what the answer was, and sometimes it

0:14:16.679 --> 0:14:19.480
<v Speaker 1>would be from a different field that you had initially

0:14:19.480 --> 0:14:22.680
<v Speaker 1>thought it might be from you miss all that when

0:14:22.720 --> 0:14:25.320
<v Speaker 1>you don't have that kind of give and take thinking

0:14:25.320 --> 0:14:27.520
<v Speaker 1>about it, I can remember sitting in the law library

0:14:27.960 --> 0:14:32.160
<v Speaker 1>with like fifty books open, you know, all surrounding me,

0:14:32.720 --> 0:14:35.160
<v Speaker 1>you know, looking at something to try and figure out

0:14:34.880 --> 0:14:38.440
<v Speaker 1>what my particular case really needed to have to be

0:14:38.480 --> 0:14:41.880
<v Speaker 1>the solution for the position that I was taking. And

0:14:41.960 --> 0:14:45.360
<v Speaker 1>I think there's worry that you lose that now. Some

0:14:45.400 --> 0:14:48.680
<v Speaker 1>people would tell you, though, June, that if the parties,

0:14:48.760 --> 0:14:51.200
<v Speaker 1>one thing you can do one accepted use of AI,

0:14:52.000 --> 0:14:55.680
<v Speaker 1>if it's done properly, is you can feed into the

0:14:55.840 --> 0:15:01.000
<v Speaker 1>artificial intelligence generator of AI search program the briefs of

0:15:01.040 --> 0:15:05.520
<v Speaker 1>the party and ask the particular tool if any of

0:15:05.560 --> 0:15:09.440
<v Speaker 1>the cases cited by the parties our host nations are

0:15:09.440 --> 0:15:12.960
<v Speaker 1>not proper And you can also say did they miss

0:15:13.080 --> 0:15:17.680
<v Speaker 1>any controlling cases in this jurisdiction that deal with this

0:15:17.760 --> 0:15:21.560
<v Speaker 1>subject matter? And so it may be possible that AI

0:15:21.720 --> 0:15:24.240
<v Speaker 1>will allow the judge to sort of check to see

0:15:24.280 --> 0:15:28.600
<v Speaker 1>whether or not the lawyer's joint use of it has

0:15:28.640 --> 0:15:31.520
<v Speaker 1>been siloed to where they missed some authority that the

0:15:31.600 --> 0:15:35.360
<v Speaker 1>judge really thinks needs to be reflected upon. But I

0:15:35.400 --> 0:15:39.280
<v Speaker 1>think that right now, people who talk about the appropriate

0:15:39.360 --> 0:15:44.280
<v Speaker 1>use of AI worry that that sort of initial creative

0:15:44.280 --> 0:15:48.320
<v Speaker 1>and analytical process, the thought process that law schools have

0:15:48.560 --> 0:15:53.240
<v Speaker 1>championed for decades as to critical thinking skills that lawyers

0:15:53.240 --> 0:15:56.200
<v Speaker 1>have to have, that they may become a sort of

0:15:56.280 --> 0:16:00.760
<v Speaker 1>atrophy and a little bit less well used if people

0:16:00.800 --> 0:16:03.840
<v Speaker 1>rely upon AI too much to the exclusion of the

0:16:03.880 --> 0:16:08.120
<v Speaker 1>old skills that are that are learned. Now. We heard

0:16:08.160 --> 0:16:11.040
<v Speaker 1>some of those same kind of problems about the use

0:16:11.080 --> 0:16:15.480
<v Speaker 1>of computers back in the day. I remember lawyers saying that, well,

0:16:15.520 --> 0:16:17.840
<v Speaker 1>you could never use computers in litigation. You could use

0:16:17.880 --> 0:16:20.960
<v Speaker 1>it in wills and the states because you're using basically

0:16:21.040 --> 0:16:23.160
<v Speaker 1>forms the same forms over again, but you'll never use

0:16:23.200 --> 0:16:26.720
<v Speaker 1>it in litigation. I think that people would split their

0:16:26.760 --> 0:16:30.760
<v Speaker 1>size open laughing at that notion today, because computers are

0:16:30.840 --> 0:16:33.400
<v Speaker 1>used in every aspect of law. So you know, we're

0:16:33.400 --> 0:16:36.520
<v Speaker 1>at the beginning of this. And keep in mind, you know,

0:16:36.600 --> 0:16:39.520
<v Speaker 1>AI has been around since the nineteen fifties, right in

0:16:39.560 --> 0:16:44.120
<v Speaker 1>one form or another, but generative AI because of technological advances.

0:16:44.320 --> 0:16:47.320
<v Speaker 1>No one was talking about generative AI. I know this

0:16:47.440 --> 0:16:50.840
<v Speaker 1>because I used to write opinions as a judge and

0:16:51.280 --> 0:16:54.680
<v Speaker 1>scholarship as an adjunct professor and a professor of Duke

0:16:55.280 --> 0:17:00.160
<v Speaker 1>about evidentiary issues associated with technical evidence, and no one

0:17:00.320 --> 0:17:03.320
<v Speaker 1>was talking about generative AI until about twenty twenty two

0:17:03.400 --> 0:17:06.359
<v Speaker 1>when the whole chat GPTV came out. So this is

0:17:06.520 --> 0:17:11.240
<v Speaker 1>still relatively recent. And what's confounding is how explosive the

0:17:11.359 --> 0:17:13.360
<v Speaker 1>use is become in such a short period of time.

0:17:13.960 --> 0:17:16.920
<v Speaker 2>Explosive is the right word. Thanks so much as always,

0:17:17.000 --> 0:17:20.359
<v Speaker 2>Judge grim that's Judge Paul Grimm, director of the Bolt

0:17:20.480 --> 0:17:25.840
<v Speaker 2>Judicial Institute at Duke Law School. NBA Commissioner Adam Silver

0:17:26.080 --> 0:17:30.680
<v Speaker 2>spoke out on Friday about the bombshell gambling scandal that's

0:17:30.800 --> 0:17:31.720
<v Speaker 2>rocked the league.

0:17:31.960 --> 0:17:35.919
<v Speaker 3>I was deeply disturbed. There's nothing more important to the

0:17:36.000 --> 0:17:41.120
<v Speaker 3>league and expands and the integrity of the competition, and

0:17:41.200 --> 0:17:44.200
<v Speaker 3>so I had a pit in my stomach. It was

0:17:44.280 --> 0:17:44.840
<v Speaker 3>very upsetting.

0:17:45.320 --> 0:17:50.120
<v Speaker 2>Shock Waves ripple through the sports world after Courtland, Trailblazer's

0:17:50.160 --> 0:17:54.520
<v Speaker 2>head coach Chauncey Billups and Miami Heat player Terry Roser

0:17:54.840 --> 0:17:58.359
<v Speaker 2>along with thirty others, were indicted as part of two

0:17:58.400 --> 0:18:03.720
<v Speaker 2>separate criminal schemes related to illegal sports betting. Joseph Nocella,

0:18:03.840 --> 0:18:07.400
<v Speaker 2>the top federal prosecutor for the Eastern District of New York,

0:18:07.880 --> 0:18:11.800
<v Speaker 2>described the two schemes. The first involved sports betting.

0:18:12.560 --> 0:18:16.680
<v Speaker 4>Between December twenty twenty two and March twenty twenty four,

0:18:17.320 --> 0:18:21.879
<v Speaker 4>these defendants perpetrated a scheme to defraud by betting on

0:18:22.000 --> 0:18:28.040
<v Speaker 4>inside non public information about NBA athletes and teams. The

0:18:28.080 --> 0:18:32.280
<v Speaker 4>non public information included when specific players would be sitting

0:18:32.280 --> 0:18:35.720
<v Speaker 4>out future games or when they would pull themselves out

0:18:35.760 --> 0:18:38.320
<v Speaker 4>early for purported injuries or illnesses.

0:18:38.960 --> 0:18:41.720
<v Speaker 2>The second involved rigged poker games.

0:18:42.280 --> 0:18:47.520
<v Speaker 4>These defendants, which include former professional athletes, used high tech

0:18:47.760 --> 0:18:51.840
<v Speaker 4>cheating technology to steal millions of dollars from victims in

0:18:52.040 --> 0:18:56.720
<v Speaker 4>underground poker games that were secretly fixed. The games in

0:18:56.720 --> 0:19:00.639
<v Speaker 4>the New York area were backed by the Banano, Ambino

0:19:01.119 --> 0:19:03.040
<v Speaker 4>and genal Vezy crime families.

0:19:03.680 --> 0:19:08.680
<v Speaker 2>Billings and Rosier face money laundering and wirefront conspiracy charges.

0:19:09.440 --> 0:19:12.400
<v Speaker 2>Joining me is Derek Hogan, a partner at Tully Rinky,

0:19:12.640 --> 0:19:14.520
<v Speaker 2>tell us about the charges here.

0:19:14.520 --> 0:19:18.680
<v Speaker 5>Broadly, you know the first one involved providing let's say

0:19:18.760 --> 0:19:23.800
<v Speaker 5>inside or confidential information to people placing wagers on games. So,

0:19:23.880 --> 0:19:27.720
<v Speaker 5>for example, the NBA player involved, Terry Rogier. There are

0:19:27.760 --> 0:19:30.400
<v Speaker 5>certain bets that an individual can places, you know, whether

0:19:30.440 --> 0:19:32.960
<v Speaker 5>a team wins or loses, the score goes over a

0:19:32.960 --> 0:19:36.280
<v Speaker 5>certain amount of points, or there's something called individual prop

0:19:36.320 --> 0:19:40.399
<v Speaker 5>bets where betters can make bets on whether a certain

0:19:40.400 --> 0:19:42.720
<v Speaker 5>individual is going to score more or less than a

0:19:42.720 --> 0:19:45.159
<v Speaker 5>certain number of points, get a certain amount of rebounds,

0:19:45.359 --> 0:19:48.520
<v Speaker 5>certain amount of assists, whatever statistical categories they put out there.

0:19:48.600 --> 0:19:51.880
<v Speaker 5>And in this instance, it's been alleged that mister Rogier

0:19:52.400 --> 0:19:55.919
<v Speaker 5>purportedly told individuals that he was going to leave a

0:19:55.960 --> 0:19:59.080
<v Speaker 5>game early, you know, before he reached a certain amount

0:19:59.080 --> 0:20:03.040
<v Speaker 5>of points, rebounds, sist, and that if the individuals bet

0:20:03.040 --> 0:20:05.160
<v Speaker 5>the under on that, then you know, they would obviously

0:20:05.200 --> 0:20:08.320
<v Speaker 5>win their bets. So it's alleged that he passed along

0:20:08.359 --> 0:20:12.280
<v Speaker 5>that information and then that other people took that information,

0:20:12.760 --> 0:20:16.480
<v Speaker 5>distribute that information to others, and distributed information to others

0:20:16.520 --> 0:20:19.520
<v Speaker 5>to make bets on them. And I think it's important

0:20:19.520 --> 0:20:22.960
<v Speaker 5>to note in those types of situations that each league,

0:20:22.960 --> 0:20:27.200
<v Speaker 5>whether it's the NBA, NFL, Major League Baseball, national hockey, league.

0:20:27.240 --> 0:20:30.919
<v Speaker 5>At some point they issue like an injury report, and

0:20:30.960 --> 0:20:34.359
<v Speaker 5>that injury report will let people know who's playing, who's

0:20:34.400 --> 0:20:37.800
<v Speaker 5>not playing, who may be playing, probable, questionable things of

0:20:37.800 --> 0:20:41.520
<v Speaker 5>that nature, and that information is released, so ultimately the

0:20:41.560 --> 0:20:44.840
<v Speaker 5>book makers can put odds out there that are, you know,

0:20:44.920 --> 0:20:48.240
<v Speaker 5>the equivalent to who's playing, who's not And so what

0:20:48.280 --> 0:20:52.240
<v Speaker 5>was happening mister Rosier's situation. You know that information was

0:20:52.280 --> 0:20:56.080
<v Speaker 5>allegedly being disclosed to others prior to any type of

0:20:56.080 --> 0:20:59.200
<v Speaker 5>injury report or not even making it on your injury report.

0:21:00.119 --> 0:21:02.960
<v Speaker 5>Inside information think about like in a stock tip, right,

0:21:03.359 --> 0:21:05.680
<v Speaker 5>Like you might know about a company going public before

0:21:05.720 --> 0:21:08.280
<v Speaker 5>it's supposedly out there, and then then you use that

0:21:08.320 --> 0:21:12.240
<v Speaker 5>inside information to benefit to yourself. The other involved an

0:21:12.280 --> 0:21:15.119
<v Speaker 5>illegal poker game in a sense that it was a

0:21:15.200 --> 0:21:17.800
<v Speaker 5>cheated card game. It was through the use of technology

0:21:17.800 --> 0:21:21.239
<v Speaker 5>from what I read, whether it's like technology within the

0:21:21.280 --> 0:21:24.480
<v Speaker 5>table that the players were using, technology within the cars

0:21:24.480 --> 0:21:27.080
<v Speaker 5>that they were using. Essentially that it was a rigged

0:21:27.119 --> 0:21:31.800
<v Speaker 5>poker game. And where the high profile bendit, mister Chauncey Billips,

0:21:31.800 --> 0:21:34.320
<v Speaker 5>who was the head coach of the Portland Trailblazers. It's

0:21:34.359 --> 0:21:37.359
<v Speaker 5>being alleged that he was kind of used to lure

0:21:37.359 --> 0:21:40.920
<v Speaker 5>individuals to that game, to lure like an unsuspecting victim

0:21:40.960 --> 0:21:44.040
<v Speaker 5>to that game, because think about it, that person might say, oh, Wow,

0:21:44.040 --> 0:21:46.640
<v Speaker 5>I'm gonna play poker with Chauncey Billups. Well, I don't

0:21:46.680 --> 0:21:50.439
<v Speaker 5>believe mister Billips has been accused of, you know, cheating

0:21:50.480 --> 0:21:53.120
<v Speaker 5>the individual a lot of money. What it's been alleged

0:21:53.200 --> 0:21:55.439
<v Speaker 5>is at those poker games, it was a rigged poker

0:21:55.480 --> 0:21:58.720
<v Speaker 5>game and then ultimately some person loses a lot of

0:21:58.720 --> 0:22:01.080
<v Speaker 5>money and then that money is distributed among the co

0:22:01.080 --> 0:22:04.320
<v Speaker 5>conspirators and the individuals that ran that game.

0:22:04.920 --> 0:22:08.280
<v Speaker 2>Is there a connection between these two indictments or they

0:22:08.440 --> 0:22:11.560
<v Speaker 2>just decided to announce them on the same day. And

0:22:11.720 --> 0:22:14.320
<v Speaker 2>you know, out of more than thirty people, just three

0:22:14.440 --> 0:22:16.400
<v Speaker 2>are associated with the NBA.

0:22:17.160 --> 0:22:19.240
<v Speaker 5>Right, So I mean, I think it's yes and no.

0:22:19.320 --> 0:22:22.920
<v Speaker 5>Obviously it's a whole high profile matter. And when you're

0:22:22.920 --> 0:22:26.359
<v Speaker 5>talking about Terry Rogier, he's a current NBA player, Chauncey

0:22:26.400 --> 0:22:29.560
<v Speaker 5>Billups Hall of Fame player, current NBA coach, they are

0:22:29.920 --> 0:22:33.399
<v Speaker 5>kind of interrelated. But also it's been alleged and you

0:22:33.440 --> 0:22:36.600
<v Speaker 5>can't really you can't really tell from the indictment involving

0:22:36.640 --> 0:22:40.800
<v Speaker 5>mister Rosier, but that indictment mentions a co conspirator who

0:22:40.920 --> 0:22:43.720
<v Speaker 5>lived in Oregon at the time and had previously played

0:22:43.720 --> 0:22:47.320
<v Speaker 5>in the NBA. The co conspirator, it can surmised to

0:22:47.320 --> 0:22:51.160
<v Speaker 5>be it's Chauncey Billups and the reason that is related

0:22:51.200 --> 0:22:54.280
<v Speaker 5>to the indictment with mister Rogier. It's alleged that the

0:22:54.320 --> 0:22:56.359
<v Speaker 5>individuals and I don't even think mister Rogier, but the

0:22:56.400 --> 0:23:00.800
<v Speaker 5>other co defendants in that indictment receive specific information about

0:23:00.920 --> 0:23:04.919
<v Speaker 5>certain individuals on the Portland Trailblazers that weren't going to

0:23:04.920 --> 0:23:07.679
<v Speaker 5>play that night prior to any release to the public.

0:23:07.880 --> 0:23:10.320
<v Speaker 5>That's who Chuncey Billibs was coaching at the time. So

0:23:10.520 --> 0:23:13.399
<v Speaker 5>while mister Bilbs has not been charged in connection with

0:23:13.440 --> 0:23:16.480
<v Speaker 5>the call it the betting scandal, the NBA betting scandal,

0:23:16.800 --> 0:23:19.520
<v Speaker 5>it is potentially he's listed as a co conspirator. But

0:23:19.960 --> 0:23:22.680
<v Speaker 5>to your question, no, I think these were more released

0:23:22.680 --> 0:23:25.359
<v Speaker 5>on the same day due to the high profile nature

0:23:25.400 --> 0:23:27.879
<v Speaker 5>of the cases. But I don't really see a link

0:23:27.920 --> 0:23:30.840
<v Speaker 5>between the two because one is about an illegal poker game,

0:23:31.119 --> 0:23:35.080
<v Speaker 5>the others about other individuals using inside information to make bets.

0:23:35.359 --> 0:23:38.800
<v Speaker 2>In the inside information. How much money do they say

0:23:39.080 --> 0:23:40.560
<v Speaker 2>was involved here?

0:23:41.080 --> 0:23:44.600
<v Speaker 5>Well, I do know from the indictment that the individual

0:23:45.240 --> 0:23:49.360
<v Speaker 5>that provided the information allegedly from mister Rogier. So mister

0:23:49.440 --> 0:23:53.800
<v Speaker 5>Rogier allegedly provides this information to an individual. That individual

0:23:53.840 --> 0:23:55.639
<v Speaker 5>gives it to other people who then use it to

0:23:55.640 --> 0:23:58.600
<v Speaker 5>make bets. And it's alleged that that individual received one

0:23:58.680 --> 0:24:01.879
<v Speaker 5>hundred thousand dollars just for providing that information. And so

0:24:02.040 --> 0:24:04.320
<v Speaker 5>then it you know, you can surmise that if that

0:24:04.400 --> 0:24:07.040
<v Speaker 5>individual is getting paid one hundred thousand, I'm sure that

0:24:07.040 --> 0:24:10.360
<v Speaker 5>there were multiple wagers made by multiple people because it's

0:24:10.359 --> 0:24:12.479
<v Speaker 5>all information. Like if you're one of the people at

0:24:12.520 --> 0:24:14.880
<v Speaker 5>the top of the pyramid, if you had this information,

0:24:14.960 --> 0:24:17.200
<v Speaker 5>you're going to tell your web of betters to make

0:24:17.240 --> 0:24:20.640
<v Speaker 5>these bets. So I would imagine that the money gain

0:24:20.800 --> 0:24:23.040
<v Speaker 5>from that was in the hundreds of thousands. If they're

0:24:23.080 --> 0:24:26.120
<v Speaker 5>paying this one person allegedly one hundred grand just for

0:24:26.160 --> 0:24:26.719
<v Speaker 5>that info.

0:24:27.040 --> 0:24:29.320
<v Speaker 2>But it seems like it's a drop in the bucket

0:24:29.400 --> 0:24:32.359
<v Speaker 2>compared to the fact that sports betting accounts for about

0:24:32.359 --> 0:24:35.520
<v Speaker 2>eighty four billion dollars a year.

0:24:35.880 --> 0:24:39.119
<v Speaker 5>I certainly see the juxtaposition, and I don't necessarily agree

0:24:39.119 --> 0:24:42.359
<v Speaker 5>with you. You know, like a lot of these leagues, NBA, NFL,

0:24:42.480 --> 0:24:46.000
<v Speaker 5>they are now in partnership with these gambling companies. You know,

0:24:46.080 --> 0:24:48.919
<v Speaker 5>before it was taboo to bet on sports, right, and

0:24:48.960 --> 0:24:51.960
<v Speaker 5>all the leagues pressed against it. They didn't want anything

0:24:51.960 --> 0:24:54.439
<v Speaker 5>to do with Now people could bet illegally for you know,

0:24:54.480 --> 0:24:58.400
<v Speaker 5>going back to however long. But once it became legalized

0:24:58.440 --> 0:25:00.720
<v Speaker 5>in most of the fifty states. I know, it's legalized

0:25:00.760 --> 0:25:03.120
<v Speaker 5>throughout the country, but in most of the states it's

0:25:03.119 --> 0:25:06.679
<v Speaker 5>now legalized. So these companies essentially got in bed with

0:25:06.760 --> 0:25:10.840
<v Speaker 5>these gambling companies to form sponsorships, you know, collaborations whatnot.

0:25:10.880 --> 0:25:12.920
<v Speaker 5>I agree with you that it might be a drop

0:25:12.920 --> 0:25:14.560
<v Speaker 5>in the bucket, but if you think about it, it's

0:25:14.600 --> 0:25:17.480
<v Speaker 5>about the integrity of the game, right, Like you can't

0:25:17.520 --> 0:25:20.840
<v Speaker 5>have players taking themselves out voluntarily for the purpose of

0:25:20.840 --> 0:25:23.800
<v Speaker 5>getting a bet. You can't have individuals, you know, using

0:25:23.840 --> 0:25:27.720
<v Speaker 5>inside information to divulge that prior to the betting public

0:25:27.920 --> 0:25:30.359
<v Speaker 5>gets it because it does it does call into the

0:25:30.359 --> 0:25:33.159
<v Speaker 5>integrity of the game, and it does call into in

0:25:33.240 --> 0:25:35.960
<v Speaker 5>question the actual results of those games.

0:25:36.160 --> 0:25:38.159
<v Speaker 2>So now tell me where it fits in that the

0:25:38.280 --> 0:25:42.840
<v Speaker 2>league investigated ros You're in twenty twenty three, but cleared

0:25:42.920 --> 0:25:46.720
<v Speaker 2>him when the physician showed he had a genuine foot inflammation.

0:25:47.160 --> 0:25:49.520
<v Speaker 2>Does that fit into his defense anywhere?

0:25:49.840 --> 0:25:51.960
<v Speaker 5>I mean, I think so. These a von Brosier's attorney.

0:25:52.080 --> 0:25:54.040
<v Speaker 5>You know, first of all, I don't know if he's

0:25:54.040 --> 0:25:57.400
<v Speaker 5>going to use the NBA's investigation, but I think he's

0:25:57.440 --> 0:25:59.719
<v Speaker 5>going to say, listen, we cooperated with it. We were

0:25:59.760 --> 0:26:02.919
<v Speaker 5>clear by the NBA he had a legitimate foot injury.

0:26:02.960 --> 0:26:06.240
<v Speaker 5>You know, unless you can establish a direct connection between

0:26:06.600 --> 0:26:09.600
<v Speaker 5>you know, this individual and mister Rogier, who he allegedly

0:26:09.680 --> 0:26:12.840
<v Speaker 5>got the information from, Yeah, I think that will because

0:26:12.840 --> 0:26:14.440
<v Speaker 5>that's going to play in all their defense, Like, how

0:26:14.440 --> 0:26:17.720
<v Speaker 5>can you prove that I provided this information? In Rogier's case,

0:26:17.720 --> 0:26:19.800
<v Speaker 5>how can you prove that I didn't have a legitimate

0:26:19.800 --> 0:26:22.320
<v Speaker 5>foot injury and I voluntarily took myself out of that

0:26:22.400 --> 0:26:25.480
<v Speaker 5>game because in fact, I did not want to damage

0:26:25.480 --> 0:26:28.240
<v Speaker 5>my career further. You know, these athletes, their bodies are

0:26:28.240 --> 0:26:31.239
<v Speaker 5>their temple, right, they're their money makers, and you know,

0:26:31.400 --> 0:26:34.560
<v Speaker 5>you can't necessarily fault an individual for taking himself out

0:26:34.560 --> 0:26:37.159
<v Speaker 5>of a game with a legitimate injury that could ultimately

0:26:37.200 --> 0:26:39.800
<v Speaker 5>affect his future earnings. You know, when it comes to

0:26:39.800 --> 0:26:40.560
<v Speaker 5>play on the court.

0:26:40.920 --> 0:26:45.600
<v Speaker 2>Jim Trustee, a lawyer for Rogier, said prosecutors had relied

0:26:45.720 --> 0:26:51.920
<v Speaker 2>on spectacularly incredible sources rather than actual evidence of wrongdoing,

0:26:52.040 --> 0:26:54.800
<v Speaker 2>and that a long time ago we reached out to

0:26:54.840 --> 0:26:57.520
<v Speaker 2>these prosecutors to tell them we should have an open

0:26:57.560 --> 0:27:03.880
<v Speaker 2>line of communications. Chized Terry as a subject, not a target.

0:27:04.359 --> 0:27:07.720
<v Speaker 5>Right And so normally, you know, as an attorney, you

0:27:07.800 --> 0:27:10.960
<v Speaker 5>might get correspondents from the FBI or the federal government,

0:27:11.000 --> 0:27:12.720
<v Speaker 5>you know, in a sense that you're a target or

0:27:12.720 --> 0:27:15.240
<v Speaker 5>subject of the investigation, or you're just kind of like

0:27:15.320 --> 0:27:18.119
<v Speaker 5>an external person you're looking for information from. So it

0:27:18.160 --> 0:27:21.080
<v Speaker 5>seems like for mister Rosier's attorney statement that, you know,

0:27:21.119 --> 0:27:23.920
<v Speaker 5>because I remember reading articles myself that you know, Rogier

0:27:24.040 --> 0:27:26.800
<v Speaker 5>was being investigated by the NBA. They were upfront and

0:27:26.840 --> 0:27:29.520
<v Speaker 5>they were forthcoming. And it's my guess is he's probably

0:27:29.520 --> 0:27:32.199
<v Speaker 5>a little upset that he said to the FBI, hey, listen,

0:27:32.600 --> 0:27:35.440
<v Speaker 5>we're here if anything comes up, you know, I represent

0:27:35.520 --> 0:27:38.280
<v Speaker 5>mister Rosier, please come to me before you do anything.

0:27:38.640 --> 0:27:40.560
<v Speaker 5>And then next thing you know, he's getting a call

0:27:40.680 --> 0:27:42.760
<v Speaker 5>that his client has to do a purp walk. You know,

0:27:42.840 --> 0:27:44.960
<v Speaker 5>I think Rogier was at a hotel the morning he

0:27:45.040 --> 0:27:47.480
<v Speaker 5>got arrested. So I think that's where the lawyer's ire

0:27:47.560 --> 0:27:50.000
<v Speaker 5>comes from, because I've done this myself, where you reach

0:27:50.040 --> 0:27:52.640
<v Speaker 5>out to law enforcement. You tell them, hey, you are

0:27:52.680 --> 0:27:55.800
<v Speaker 5>represented by counsel, or this individual is represented by counsel,

0:27:56.080 --> 0:27:58.200
<v Speaker 5>and if something comes up, let me know. I'll bring

0:27:58.240 --> 0:27:59.679
<v Speaker 5>them in. We don't got to do this. Song and

0:27:59.760 --> 0:28:02.399
<v Speaker 5>dance will make it a lot easier. I think that's

0:28:02.400 --> 0:28:03.879
<v Speaker 5>that's where his eyre is coming from.

0:28:03.960 --> 0:28:07.119
<v Speaker 2>When you're told that your client's a subject, not a target.

0:28:07.520 --> 0:28:10.840
<v Speaker 2>I mean, does that often turn into a target not

0:28:10.920 --> 0:28:11.639
<v Speaker 2>a subject?

0:28:12.200 --> 0:28:14.600
<v Speaker 5>I guess it all depends on ultimately what information they're

0:28:14.640 --> 0:28:17.480
<v Speaker 5>gaining from him. You know, if he's a subject, I'm

0:28:17.520 --> 0:28:20.720
<v Speaker 5>guessing that the lawyer said, hey, let's sit down, let's talk.

0:28:21.000 --> 0:28:23.479
<v Speaker 5>Here's what the investigation with the NBA did, so on

0:28:23.520 --> 0:28:26.080
<v Speaker 5>and so forth, and you know, if something comes up,

0:28:26.160 --> 0:28:28.200
<v Speaker 5>let us know. So I would think in that time,

0:28:28.440 --> 0:28:31.040
<v Speaker 5>because the federal government, the FBI there, they're powerful. It's

0:28:31.040 --> 0:28:33.639
<v Speaker 5>a powerful agency, right and you know they're probably not

0:28:33.680 --> 0:28:35.719
<v Speaker 5>going to come after you unless they think they have something.

0:28:36.040 --> 0:28:38.120
<v Speaker 5>But I would think if my client's just a subject,

0:28:38.120 --> 0:28:43.000
<v Speaker 5>he's not necessarily a target. I'm not necessarily overly concerned

0:28:43.120 --> 0:28:46.880
<v Speaker 5>about him getting arrested, specifically, once I've already notified the

0:28:46.960 --> 0:28:49.719
<v Speaker 5>FBI that hey, call me, let me know if something's

0:28:49.760 --> 0:28:51.320
<v Speaker 5>going to come up, because that you know, we'll take

0:28:51.320 --> 0:28:52.120
<v Speaker 5>care of it from there.

0:28:52.520 --> 0:28:55.240
<v Speaker 2>The poker games, I take it that there are illegal

0:28:55.280 --> 0:28:58.600
<v Speaker 2>poker games happening across the country all the time. What

0:28:58.760 --> 0:29:03.600
<v Speaker 2>made these show worthy of an FBI investigation and end indictments?

0:29:04.040 --> 0:29:06.760
<v Speaker 5>So you're right, there's illegal poker games going around, you know,

0:29:06.880 --> 0:29:10.000
<v Speaker 5>even if you're playing for you know, minimum money technically, right,

0:29:10.040 --> 0:29:12.320
<v Speaker 5>and that's an illegal poker game. But I think this

0:29:12.440 --> 0:29:15.520
<v Speaker 5>drew the fbis I for a couple of reasons. There's

0:29:15.640 --> 0:29:18.760
<v Speaker 5>allegations of the mafia being involved in it, right, and

0:29:18.880 --> 0:29:21.640
<v Speaker 5>what they were doing is allegedly is okay, you get

0:29:21.640 --> 0:29:24.920
<v Speaker 5>this one individual that might lose hundreds of thousands of

0:29:24.920 --> 0:29:28.080
<v Speaker 5>dollars at the poker table, and now they're using that money.

0:29:28.120 --> 0:29:32.000
<v Speaker 5>The people involved are allegedly you know, distributing it amongst themselves.

0:29:32.280 --> 0:29:35.680
<v Speaker 5>They're laundering that money. Further, it's my understanding that when

0:29:35.680 --> 0:29:38.400
<v Speaker 5>the individuals didn't pay up, then there was you know,

0:29:38.520 --> 0:29:41.600
<v Speaker 5>threats of force, maybe even actual physical force, used. So

0:29:41.680 --> 0:29:43.920
<v Speaker 5>that's why I think the FBI is getting involved in this.

0:29:44.280 --> 0:29:46.080
<v Speaker 5>Like you said, you're runn of the mill poker game.

0:29:46.080 --> 0:29:48.360
<v Speaker 5>But when you have an MBA star, you have you know,

0:29:48.440 --> 0:29:51.160
<v Speaker 5>hundreds of thousands, maybe if not millions of dollars at stake,

0:29:51.520 --> 0:29:54.160
<v Speaker 5>and then you have alleged mob tized and then also

0:29:54.480 --> 0:29:57.920
<v Speaker 5>allegations of people using force to collect on those debts.

0:29:58.160 --> 0:29:59.400
<v Speaker 5>That's where they come into play.

0:30:00.000 --> 0:30:04.240
<v Speaker 2>Tell how strong the cases are against the defendants from

0:30:04.280 --> 0:30:05.120
<v Speaker 2>the indictments.

0:30:05.800 --> 0:30:08.560
<v Speaker 5>I mean, you can't necessarily tell from the indictments, because

0:30:08.560 --> 0:30:11.280
<v Speaker 5>the indictments are just gonna list out some basic facts

0:30:11.640 --> 0:30:14.200
<v Speaker 5>as they see them, and then the counts they're charged with.

0:30:14.560 --> 0:30:17.040
<v Speaker 5>I mean, yes, if everything was all true that they say,

0:30:17.080 --> 0:30:19.720
<v Speaker 5>then that's you know, that's a pretty tough case. However,

0:30:19.840 --> 0:30:23.000
<v Speaker 5>you know, it's not like discovery has been provided the public.

0:30:23.040 --> 0:30:26.160
<v Speaker 5>It's not like certain information has been provided to the public.

0:30:26.400 --> 0:30:28.840
<v Speaker 5>So ultimately you can't say whether or not there is

0:30:28.880 --> 0:30:31.080
<v Speaker 5>a strong or is not a strong case. I will

0:30:31.080 --> 0:30:34.040
<v Speaker 5>say two things about BEF though. Number One, the Feds

0:30:34.080 --> 0:30:36.640
<v Speaker 5>have a high conviction rate. I'm not saying every federal

0:30:36.680 --> 0:30:39.400
<v Speaker 5>defendant gets convicted, but I would imagine that the Feds

0:30:39.400 --> 0:30:41.480
<v Speaker 5>aren't going to come after someone unless they have a

0:30:41.520 --> 0:30:44.320
<v Speaker 5>lot of evidence, you know, in their back pockets. Certainly

0:30:44.360 --> 0:30:47.400
<v Speaker 5>one of this kind of you know, public nature, right,

0:30:47.440 --> 0:30:50.200
<v Speaker 5>a lot of media, you know, a lot of press

0:30:50.240 --> 0:30:52.800
<v Speaker 5>around it. And the second part though, to whether it's

0:30:52.840 --> 0:30:55.040
<v Speaker 5>a strong case or not, it's always going to hinge

0:30:55.040 --> 0:30:57.840
<v Speaker 5>on the credibility of the witnesses. I would imagine that

0:30:57.920 --> 0:31:00.520
<v Speaker 5>some of the individuals that have been providing animation from

0:31:00.520 --> 0:31:03.200
<v Speaker 5>the government might be cedy. Individuals might not have the

0:31:03.200 --> 0:31:06.040
<v Speaker 5>best track record. So if I'm a defense attorney, I'm

0:31:06.040 --> 0:31:09.560
<v Speaker 5>going to go full bore attacking that witness's credibility. Say,

0:31:09.600 --> 0:31:12.240
<v Speaker 5>you know, how can we believe person A when they've

0:31:12.280 --> 0:31:14.160
<v Speaker 5>done this, that, and the third throughout the course of

0:31:14.160 --> 0:31:17.640
<v Speaker 5>their life. So I think defense probably have a strong case,

0:31:17.640 --> 0:31:19.800
<v Speaker 5>but you can't really tell that from the indictment, and

0:31:19.800 --> 0:31:21.280
<v Speaker 5>that still has to play out in court.

0:31:22.200 --> 0:31:26.800
<v Speaker 2>How do you think Billups and Rosier's celebrity would play

0:31:26.800 --> 0:31:27.640
<v Speaker 2>into a trial?

0:31:28.160 --> 0:31:30.480
<v Speaker 5>Think get at place huge, right, you know, because you're

0:31:30.520 --> 0:31:33.600
<v Speaker 5>gonna get supporters, you know, on both sides of the coin.

0:31:33.680 --> 0:31:35.920
<v Speaker 5>You know the fact that you know, Chauncy Bills Hall

0:31:35.920 --> 0:31:39.520
<v Speaker 5>of Fame player, current head coach. You know, Terry Rogier,

0:31:39.640 --> 0:31:42.240
<v Speaker 5>he's known like that celebrity, You're going to have people

0:31:42.240 --> 0:31:45.200
<v Speaker 5>that support them regardless. You know. You look at Sean

0:31:45.240 --> 0:31:48.200
<v Speaker 5>Puffy Combs right like, he was alleged to done awful

0:31:48.240 --> 0:31:51.040
<v Speaker 5>things and yet he still had his public support or anybody.

0:31:51.040 --> 0:31:53.000
<v Speaker 5>I don't want to just use you know, mister Combs

0:31:53.000 --> 0:31:56.000
<v Speaker 5>as an example, any high profile defendant. You know, OJ

0:31:56.160 --> 0:31:59.200
<v Speaker 5>Simpson still got plenty of public support, right, you know,

0:31:59.360 --> 0:32:01.600
<v Speaker 5>and so that is going to play into it. And

0:32:01.640 --> 0:32:03.800
<v Speaker 5>I think the defense is going to you know, this

0:32:03.920 --> 0:32:06.680
<v Speaker 5>is mister Billbs, hall of fame, career head coach. Why

0:32:06.680 --> 0:32:09.120
<v Speaker 5>would he be risking all that on just you know,

0:32:09.160 --> 0:32:11.920
<v Speaker 5>a poker game, maybe a poker game he participated in,

0:32:12.240 --> 0:32:15.040
<v Speaker 5>but unwittingly as far as you know, it being a

0:32:15.120 --> 0:32:17.840
<v Speaker 5>rigged game, or others being you know, losing on purpose.

0:32:18.240 --> 0:32:19.360
<v Speaker 5>You know, same with mister Rogier.

0:32:19.400 --> 0:32:23.320
<v Speaker 2>I would think they've both made spectacular amounts of money

0:32:23.320 --> 0:32:26.880
<v Speaker 2>in their careers. Billips made about one hundred and six

0:32:26.920 --> 0:32:31.960
<v Speaker 2>million dollars in earnings over his career. Rosier made about

0:32:31.960 --> 0:32:34.800
<v Speaker 2>one hundred and sixty million. I mean, why would they

0:32:34.920 --> 0:32:38.200
<v Speaker 2>get involved in this kind of a scheme? It seems

0:32:38.240 --> 0:32:39.840
<v Speaker 2>like small potatoes, you know.

0:32:40.120 --> 0:32:42.800
<v Speaker 5>I you know, I've asked myself that same question. But

0:32:42.960 --> 0:32:45.880
<v Speaker 5>I think it goes to two reasons. And I don't know,

0:32:45.960 --> 0:32:47.440
<v Speaker 5>you know, I'm not saying I have any rhyme or

0:32:47.480 --> 0:32:50.200
<v Speaker 5>reason to believe this, all right, But one, you know,

0:32:50.360 --> 0:32:52.880
<v Speaker 5>a lot of the times, at least in mister Rogier's case,

0:32:53.280 --> 0:32:55.840
<v Speaker 5>it is a led that he provided this information to

0:32:55.880 --> 0:32:57.880
<v Speaker 5>an individual he grew up with, that he had known

0:32:57.920 --> 0:33:00.960
<v Speaker 5>since childhood, right, And I think that goes to sometimes

0:33:01.360 --> 0:33:04.360
<v Speaker 5>these individuals, no matter how much money, power and respect

0:33:04.360 --> 0:33:07.560
<v Speaker 5>that they have, sometimes there's individuals that you grew up

0:33:07.600 --> 0:33:09.360
<v Speaker 5>with that you can't you know, I'm not saying you

0:33:09.400 --> 0:33:11.600
<v Speaker 5>should cut them out of their circle, but if they're

0:33:11.640 --> 0:33:14.640
<v Speaker 5>there for nefarious purposes, you know, sometimes you can get

0:33:14.800 --> 0:33:17.080
<v Speaker 5>entangled in that, right And I'm not saying that's the

0:33:17.120 --> 0:33:19.360
<v Speaker 5>case with mister Rosier. It could be one of his

0:33:19.400 --> 0:33:21.760
<v Speaker 5>best buddies, that's a great person, you just never know,

0:33:21.800 --> 0:33:24.520
<v Speaker 5>But I think that's one you get entangled with these

0:33:24.520 --> 0:33:27.400
<v Speaker 5>individuals that are up to no good. The other part is,

0:33:27.440 --> 0:33:30.280
<v Speaker 5>and I can't say, people might have an addiction, right,

0:33:30.360 --> 0:33:33.320
<v Speaker 5>and this gambling addiction could get out of hand. Regardless

0:33:33.320 --> 0:33:35.280
<v Speaker 5>of how much money they make. And I'm not saying

0:33:35.280 --> 0:33:37.760
<v Speaker 5>that's the case, because I don't think it's alleged that

0:33:37.840 --> 0:33:40.680
<v Speaker 5>Rosier even you know, shared in any of these profits.

0:33:40.880 --> 0:33:43.600
<v Speaker 5>It's just that he provided this information. So I think

0:33:43.640 --> 0:33:45.560
<v Speaker 5>it goes it could be a gambling addiction, or it

0:33:45.600 --> 0:33:48.360
<v Speaker 5>could just be you know, individuals, whether they grew up

0:33:48.360 --> 0:33:50.520
<v Speaker 5>with them or not, they're just individuals that aren't looking

0:33:50.600 --> 0:33:53.480
<v Speaker 5>out for their best interests. That's ultimately how you could

0:33:53.480 --> 0:33:55.000
<v Speaker 5>lose that much more. You know, you could risk so

0:33:55.120 --> 0:33:57.000
<v Speaker 5>much when you make multi millions of dollars.

0:33:57.040 --> 0:34:00.160
<v Speaker 2>But the FBI said, oh, this is not over or

0:34:00.200 --> 0:34:03.920
<v Speaker 2>we're still investigating. Does it look like this is an

0:34:03.960 --> 0:34:08.080
<v Speaker 2>instance where other NBA players could be implicated.

0:34:08.480 --> 0:34:10.200
<v Speaker 5>I don't know if it would be anytime soon. I

0:34:10.239 --> 0:34:12.600
<v Speaker 5>feel like if they you know, because this is talking

0:34:12.640 --> 0:34:14.640
<v Speaker 5>about games from twenty twenty three, I think here we

0:34:14.680 --> 0:34:17.000
<v Speaker 5>are in twenty twenty five, we're almost going into twenty six.

0:34:17.320 --> 0:34:20.080
<v Speaker 5>So for what they have now, I feel like if

0:34:20.120 --> 0:34:22.600
<v Speaker 5>they had more, they would come out with it. That

0:34:22.760 --> 0:34:25.640
<v Speaker 5>being said, you're going to start getting now that all

0:34:25.640 --> 0:34:27.719
<v Speaker 5>these people are arrested. People are going to flip. People

0:34:27.760 --> 0:34:30.960
<v Speaker 5>are going to start talking, and then when that happens,

0:34:31.040 --> 0:34:34.359
<v Speaker 5>that may lead to other information coming out. Not saying

0:34:34.360 --> 0:34:36.839
<v Speaker 5>it will, but I think it's more likely than not

0:34:37.000 --> 0:34:40.000
<v Speaker 5>that if there is another quote quote scandal, this is

0:34:40.040 --> 0:34:41.920
<v Speaker 5>just the beginning of it, right, and this is just

0:34:41.960 --> 0:34:43.839
<v Speaker 5>going to start to come out, and you might see

0:34:43.840 --> 0:34:46.840
<v Speaker 5>it come out in other league NFL, NHL, Major League Baseball,

0:34:46.840 --> 0:34:47.680
<v Speaker 5>things of that nature.

0:34:47.960 --> 0:34:51.399
<v Speaker 2>I'm wondering about the timing of this announcement by the

0:34:51.800 --> 0:34:57.280
<v Speaker 2>FBI and Federal prosecutors at the beginning of the NBA season.

0:34:57.680 --> 0:35:02.239
<v Speaker 2>When the sports betting scheme allegedly curred between December of

0:35:02.480 --> 0:35:06.799
<v Speaker 2>twenty twenty two and March of twenty twenty four, and

0:35:06.880 --> 0:35:10.800
<v Speaker 2>the rig poker game that Billips is accused of participating

0:35:10.960 --> 0:35:15.520
<v Speaker 2>in took place in April of twenty nineteen. So why

0:35:15.600 --> 0:35:19.440
<v Speaker 2>announce this on the eve of the NBA season.

0:35:20.120 --> 0:35:23.759
<v Speaker 5>It might just be a great coincidence, or you might

0:35:23.800 --> 0:35:25.560
<v Speaker 5>be right in that, you know, here's the start of

0:35:25.600 --> 0:35:29.280
<v Speaker 5>the season. You know, here we are, the Federal Bureau

0:35:29.280 --> 0:35:32.560
<v Speaker 5>of Investigation, your big seasons about the start, were about

0:35:32.600 --> 0:35:34.920
<v Speaker 5>to drop this hammer, you know, to make sure that

0:35:34.960 --> 0:35:38.160
<v Speaker 5>all eyes are in connection with this. It could be

0:35:38.200 --> 0:35:39.759
<v Speaker 5>a coincidence doesn't seem.

0:35:39.520 --> 0:35:43.640
<v Speaker 2>Like it was, though, especially with the fanfare with which

0:35:43.800 --> 0:35:48.399
<v Speaker 2>the indictments were announced. Thanks for joining me, Derek. That's

0:35:48.440 --> 0:35:51.840
<v Speaker 2>Derek Hogan of Tully Rinky Turn It, and that's it

0:35:51.880 --> 0:35:54.480
<v Speaker 2>for this edition of The Bloomberg Law Show. Remember you

0:35:54.480 --> 0:35:56.960
<v Speaker 2>can always get the latest legal news on our Bloomberg

0:35:57.040 --> 0:36:00.680
<v Speaker 2>Law Podcast. You can find them on Apple Podcasts, Spotify,

0:36:00.880 --> 0:36:05.920
<v Speaker 2>and at www dot bloomberg dot com, slash podcast Slash Law,

0:36:06.320 --> 0:36:08.880
<v Speaker 2>and remember to tune into The Bloomberg Law Show every

0:36:08.960 --> 0:36:12.840
<v Speaker 2>weeknight at ten pm Wall Street Time. I'm June Grosso

0:36:12.960 --> 0:36:14.600
<v Speaker 2>and you're listening to Bloomberg