1 00:00:03,080 --> 00:00:08,280 Speaker 1: You're listening to Bloomberg Law with June Grasso from Bloomberg Radio. 2 00:00:12,119 --> 00:00:15,760 Speaker 1: Jury selection continues in the trial of former Minneapolis police 3 00:00:15,760 --> 00:00:19,600 Speaker 1: officer Derek Chauvin for the death of George Floyd, despite 4 00:00:19,680 --> 00:00:23,720 Speaker 1: concerns that the unprecedented twenty seven million dollars settlement with 5 00:00:23,800 --> 00:00:28,520 Speaker 1: Floyd's family would taint the jurisperceptions. The defense attorney argued 6 00:00:28,560 --> 00:00:31,800 Speaker 1: that the city's unusual decision to announce the settlement just 7 00:00:32,000 --> 00:00:35,479 Speaker 1: as the criminal trial begins could prevent Chauvin from receiving 8 00:00:35,520 --> 00:00:38,559 Speaker 1: a fair trial. The judge has yet to decide on 9 00:00:38,600 --> 00:00:41,520 Speaker 1: the defense attorney's renewed motion to move the trial out 10 00:00:41,520 --> 00:00:45,280 Speaker 1: of Minneapolis, and both sides clashed today over how much 11 00:00:45,320 --> 00:00:48,280 Speaker 1: the jury should hear of Floyd's own actions during a 12 00:00:48,360 --> 00:00:52,840 Speaker 1: drug arrest. In joining me is Krista Groshek, a former 13 00:00:52,920 --> 00:00:57,640 Speaker 1: public defender and managing attorney of Groshek Law in Minneapolis, Christa. 14 00:00:57,680 --> 00:01:01,360 Speaker 1: How unusual is it to have a civil settlement before 15 00:01:01,360 --> 00:01:05,119 Speaker 1: a criminal trial. It's extraordinarily unusual. In fact, I don't 16 00:01:05,120 --> 00:01:08,000 Speaker 1: think it's ever happened in Minnesota. The cases that I 17 00:01:08,040 --> 00:01:10,959 Speaker 1: am familiar with and some other ones that I um 18 00:01:10,959 --> 00:01:13,920 Speaker 1: looked up all perceived in the same way. The criminal 19 00:01:14,160 --> 00:01:16,959 Speaker 1: case goes to trial first and then the civil case 20 00:01:17,000 --> 00:01:22,640 Speaker 1: gets judicated. So this is extraordinarily strange. And you know, 21 00:01:23,319 --> 00:01:25,440 Speaker 1: it's been sort of postulated that there's a fair amount 22 00:01:25,480 --> 00:01:28,680 Speaker 1: of manipulation and maneuvering with some of these things, and 23 00:01:28,720 --> 00:01:31,760 Speaker 1: I don't know how one gets past that idea when 24 00:01:31,760 --> 00:01:36,319 Speaker 1: you see this settlement occurring. In jury selection now on 25 00:01:36,319 --> 00:01:38,880 Speaker 1: one hand, at least to the curred in jury selection 26 00:01:39,040 --> 00:01:41,640 Speaker 1: right for sure. If it hadn't, I don't know how 27 00:01:41,680 --> 00:01:44,000 Speaker 1: they could move forward. I think a mistrial motion would 28 00:01:44,000 --> 00:01:47,039 Speaker 1: have been granted. But this has never happened before, and 29 00:01:47,400 --> 00:01:49,840 Speaker 1: we've never had a settlement of this size before. I 30 00:01:49,840 --> 00:01:53,800 Speaker 1: mean this, this is an astronomical settlement. Explain why the 31 00:01:53,840 --> 00:01:59,080 Speaker 1: news of the settlement might prejudice the jury. It is 32 00:01:59,120 --> 00:02:02,760 Speaker 1: a very very difficult things to get jurors to understand 33 00:02:02,800 --> 00:02:06,040 Speaker 1: the difference between you know, different kinds of litigation in cases, 34 00:02:06,120 --> 00:02:09,160 Speaker 1: especially what it involves the same set of facts. I think, 35 00:02:09,200 --> 00:02:11,399 Speaker 1: for example, with the O J. Case, Ray was acquitted 36 00:02:11,440 --> 00:02:14,000 Speaker 1: but then later paid the family a large civil settlement. 37 00:02:14,200 --> 00:02:16,800 Speaker 1: There was a number of people who once they saw 38 00:02:16,880 --> 00:02:19,040 Speaker 1: that went oh well of course, because he was guilty, right, 39 00:02:19,080 --> 00:02:21,200 Speaker 1: So so the same inference flies there that I think 40 00:02:21,280 --> 00:02:23,520 Speaker 1: is likely to apply here. I don't know how a 41 00:02:23,600 --> 00:02:27,200 Speaker 1: jury can conceptually wrap their head around that, especially because 42 00:02:27,600 --> 00:02:29,520 Speaker 1: the most information they're going to be given about the 43 00:02:29,560 --> 00:02:32,240 Speaker 1: civil case is in jury selection, and the courts like 44 00:02:32,520 --> 00:02:36,639 Speaker 1: it's civil, different standards of proof, different lawyers write, different 45 00:02:36,639 --> 00:02:40,080 Speaker 1: courts state versus federal. Don't worry yourself about that. I 46 00:02:40,120 --> 00:02:43,200 Speaker 1: don't think that is enough of an explanation for them 47 00:02:43,240 --> 00:02:45,560 Speaker 1: to hang their hats on to go, yeah, you're right, 48 00:02:45,880 --> 00:02:48,280 Speaker 1: I'm just going to disregard the fact that that happened 49 00:02:48,480 --> 00:02:51,359 Speaker 1: is hugely prejudicial to the defense, and in fact, it's 50 00:02:51,400 --> 00:02:54,639 Speaker 1: kind of ridiculous. Um, I think at best, if you're responsible. 51 00:02:55,240 --> 00:02:58,359 Speaker 1: What's interesting is Keith Ellison as our Minnesota Attorney General, 52 00:02:58,919 --> 00:03:02,200 Speaker 1: and his office is executing Derek Chauvin. His son is 53 00:03:02,240 --> 00:03:06,400 Speaker 1: on the Minneapolis City Council that awarded this large civil settlement. 54 00:03:06,880 --> 00:03:09,840 Speaker 1: When Keith Ellison was asked if he knew about the 55 00:03:09,880 --> 00:03:13,280 Speaker 1: settlement prior to it being announced, his answer was no comment. 56 00:03:14,120 --> 00:03:17,680 Speaker 1: Benjamin Crump, the family's attorney, has said, well, it's the 57 00:03:17,720 --> 00:03:22,079 Speaker 1: family's Seventh Amendment right and also that the publicity about 58 00:03:22,080 --> 00:03:26,600 Speaker 1: the settlement is slight compared to the publicity about George 59 00:03:26,639 --> 00:03:31,440 Speaker 1: Floyd's death. I think that's a ridiculous assertion. Let's see 60 00:03:31,560 --> 00:03:33,799 Speaker 1: it in the Seventh Amendment. So people have a right 61 00:03:33,880 --> 00:03:39,080 Speaker 1: to you know, have their controversies examined in court and settled. Okay, 62 00:03:39,120 --> 00:03:42,760 Speaker 1: we know that. But you know certainly that talks about 63 00:03:43,160 --> 00:03:46,280 Speaker 1: dollar settlements. Right, this is about money. This is about 64 00:03:46,600 --> 00:03:50,320 Speaker 1: Savin's fighting for his liberty, his life, his reputation. And 65 00:03:50,560 --> 00:03:52,560 Speaker 1: you know, I don't so much just blame the family, 66 00:03:52,600 --> 00:03:54,800 Speaker 1: and I don't blame Crump. Fine, you know, he's going 67 00:03:54,840 --> 00:03:57,080 Speaker 1: to push for whatever leverage he can get at whatever 68 00:03:57,080 --> 00:03:59,000 Speaker 1: time he can get it. He can do that. There's 69 00:03:59,000 --> 00:04:01,400 Speaker 1: something wrong with him doing out. Lawyers positioned themselves all 70 00:04:01,400 --> 00:04:03,080 Speaker 1: the time, right, it's our job to do that. He 71 00:04:03,160 --> 00:04:06,280 Speaker 1: positioned his clients well, and he got, you know, a 72 00:04:06,360 --> 00:04:08,760 Speaker 1: great settlement to them. So I don't think the family 73 00:04:08,800 --> 00:04:11,400 Speaker 1: is doing anything wrong. I think the city was irresponsible. 74 00:04:11,840 --> 00:04:15,320 Speaker 1: I mean, the city, you know, in theory to want 75 00:04:15,400 --> 00:04:17,280 Speaker 1: all of its citizens to have a fair trial. I 76 00:04:17,360 --> 00:04:19,520 Speaker 1: understand they also want their citizens not to be victims 77 00:04:19,560 --> 00:04:21,919 Speaker 1: of what they believe was police brutality, et cetera. But 78 00:04:21,960 --> 00:04:24,000 Speaker 1: there's a time and a place to figure that out 79 00:04:24,480 --> 00:04:27,320 Speaker 1: and still afford the person on trial of fair trial. 80 00:04:27,839 --> 00:04:30,320 Speaker 1: I think the city government is to blame, and Jacob 81 00:04:30,400 --> 00:04:32,520 Speaker 1: Fry is that's part of it. He's our mayor. And 82 00:04:32,560 --> 00:04:36,400 Speaker 1: he opened his huge mouth shortly after this video footage 83 00:04:36,400 --> 00:04:38,640 Speaker 1: came out and he said he think said Derek Scholwen 84 00:04:38,720 --> 00:04:42,600 Speaker 1: and his cap you know colleagues are all guilty. And 85 00:04:42,680 --> 00:04:45,680 Speaker 1: he fired him without pay, you know or whatever. His 86 00:04:46,120 --> 00:04:48,680 Speaker 1: police aren't fired him without pay, and he publicized it 87 00:04:48,760 --> 00:04:51,240 Speaker 1: then so did our governor, so the chief of police. 88 00:04:51,240 --> 00:04:54,120 Speaker 1: I mean, these guys have engaged in this pattern of 89 00:04:54,160 --> 00:04:57,720 Speaker 1: irresponsibility since the beginning, and frankly, my opinion, they should 90 00:04:57,720 --> 00:05:01,120 Speaker 1: be ashamed. When this was first brought up by the defense, 91 00:05:01,680 --> 00:05:05,240 Speaker 1: the judge seemed to indicate that, yes, you know, this 92 00:05:05,480 --> 00:05:08,520 Speaker 1: was a concern that there might be a problem. He 93 00:05:08,640 --> 00:05:12,279 Speaker 1: called back some of the jurors and requestioned them and 94 00:05:12,320 --> 00:05:16,039 Speaker 1: got rid of two. But it seems as if it's 95 00:05:16,040 --> 00:05:18,960 Speaker 1: going to be very hard to move the trial, to 96 00:05:19,040 --> 00:05:23,200 Speaker 1: get him to move the trial out of Minneapolis once 97 00:05:23,600 --> 00:05:27,640 Speaker 1: jury selections already started. So this judge is a guy 98 00:05:27,800 --> 00:05:30,400 Speaker 1: on a mission. And he approaches all of his cases 99 00:05:30,440 --> 00:05:32,520 Speaker 1: the way I've I've tried cases in front of him. 100 00:05:32,600 --> 00:05:34,679 Speaker 1: When you're set for trial, you go trial. He keeps 101 00:05:34,720 --> 00:05:37,640 Speaker 1: cases moving. He doesn't allow for a lot of what 102 00:05:37,680 --> 00:05:41,360 Speaker 1: I would call d aliensis or timely thing in jury selection. 103 00:05:41,400 --> 00:05:43,240 Speaker 1: Some judges are more liberal about it. You can really 104 00:05:43,279 --> 00:05:45,240 Speaker 1: get to know your jury is more. He doesn't really 105 00:05:45,279 --> 00:05:47,520 Speaker 1: allow for a lot of that. He takes the reins 106 00:05:47,520 --> 00:05:49,520 Speaker 1: like he did when he brought the seven jurors back, 107 00:05:49,920 --> 00:05:52,559 Speaker 1: so frequently asked questions, so kind of hurry lawyers along. 108 00:05:52,920 --> 00:05:55,279 Speaker 1: He wants cases to move. And you know the city 109 00:05:55,279 --> 00:05:58,799 Speaker 1: has spent millions of dollars and getting this case ready 110 00:05:58,880 --> 00:06:03,400 Speaker 1: to try. From your additional officers, snipers that sit on 111 00:06:03,440 --> 00:06:06,080 Speaker 1: the roof, you know, there's no court trials and jury 112 00:06:06,080 --> 00:06:08,800 Speaker 1: trials happening in Hennison County. Yellow. They might add one 113 00:06:08,839 --> 00:06:11,320 Speaker 1: more for some reason, but that was the plan. The 114 00:06:11,400 --> 00:06:15,919 Speaker 1: Chauvin trial gets the whole courthouse, twenty six floors and 115 00:06:16,040 --> 00:06:19,600 Speaker 1: twenty six things for courtrooms a piece. Hundreds of court 116 00:06:19,640 --> 00:06:22,680 Speaker 1: hearings are shut down because of Chauvin. And so I 117 00:06:22,680 --> 00:06:24,720 Speaker 1: think he's on a mission. He's gonna try to make 118 00:06:24,760 --> 00:06:26,960 Speaker 1: that happen, and you know, he's kind of in a pickle. 119 00:06:27,360 --> 00:06:29,919 Speaker 1: This is out there now, right, and so it's time 120 00:06:30,000 --> 00:06:31,600 Speaker 1: going to cure it and people really going to forget 121 00:06:31,600 --> 00:06:34,080 Speaker 1: about it. I don't know. I think that's unlikely. So 122 00:06:34,080 --> 00:06:37,039 Speaker 1: I don't think it continue would really helps. Maybe it's 123 00:06:37,080 --> 00:06:39,760 Speaker 1: a greater likelihood that people outstate, you know, living in 124 00:06:39,880 --> 00:06:42,440 Speaker 1: rural areas are less engaged and I'm not watching the 125 00:06:42,440 --> 00:06:44,760 Speaker 1: trial every day like we are here in Minneapolis. I 126 00:06:44,920 --> 00:06:46,919 Speaker 1: personally thought from the beginning that would have been the 127 00:06:47,000 --> 00:06:49,479 Speaker 1: right move, you know, moved this trial out states. But 128 00:06:49,640 --> 00:06:52,200 Speaker 1: you know, there's a lot of advantages that come to 129 00:06:52,640 --> 00:06:54,599 Speaker 1: the defense if you move without state. It tends to 130 00:06:54,640 --> 00:06:56,920 Speaker 1: be that people who live in rural areas. I'm more 131 00:06:56,920 --> 00:06:59,479 Speaker 1: pro police, so I think the other thing the court 132 00:06:59,560 --> 00:07:02,960 Speaker 1: thought and of security. I mean, Henneton County has state 133 00:07:03,000 --> 00:07:04,719 Speaker 1: of the art everything, and so they'd be in a 134 00:07:04,720 --> 00:07:09,440 Speaker 1: better position people wise, and security from electronics, you know, 135 00:07:09,560 --> 00:07:12,280 Speaker 1: contraptions that they used to monitor and watch people. He 136 00:07:12,360 --> 00:07:15,080 Speaker 1: thought that could do it better there. But he's in 137 00:07:15,080 --> 00:07:16,680 Speaker 1: a bad spot. What do you do? It's out there, 138 00:07:16,960 --> 00:07:19,360 Speaker 1: and so now he's got to determine if the lawyers 139 00:07:19,520 --> 00:07:22,240 Speaker 1: can answers questions to get to the heart of but 140 00:07:22,400 --> 00:07:24,520 Speaker 1: not they're biased. And whether or not he's got a 141 00:07:24,520 --> 00:07:26,960 Speaker 1: bias or poison pool, that's what he's got to figure out, 142 00:07:27,280 --> 00:07:28,920 Speaker 1: and that's going to take time. So I wouldn't say 143 00:07:28,920 --> 00:07:30,840 Speaker 1: it's out of the question, but it does seem like 144 00:07:30,880 --> 00:07:32,920 Speaker 1: if he can push through, he will, and that's consistent 145 00:07:32,960 --> 00:07:35,400 Speaker 1: with what I know of Judge k. Hill. Let's talk 146 00:07:35,400 --> 00:07:38,520 Speaker 1: about some of the motions that are pending. The defense 147 00:07:38,560 --> 00:07:41,760 Speaker 1: wants to tell the jury about Floyd's arrest for drugs 148 00:07:41,840 --> 00:07:45,720 Speaker 1: in how likely is it that the judge will allow 149 00:07:45,760 --> 00:07:48,920 Speaker 1: that evidence? In the difference between the defense bringing the 150 00:07:48,960 --> 00:07:51,280 Speaker 1: motion in the past and now is that. It's my 151 00:07:51,360 --> 00:07:54,840 Speaker 1: understanding that the defense was recently disclosed about a thousand 152 00:07:54,880 --> 00:07:59,160 Speaker 1: pages of additional information, some of which included details about 153 00:07:59,360 --> 00:08:04,080 Speaker 1: that arrest and in particular what Mr Floyd was told 154 00:08:04,240 --> 00:08:07,720 Speaker 1: about his use of opioids at that arrest, and I 155 00:08:07,760 --> 00:08:10,200 Speaker 1: think jud Candle is really interested in it. The new 156 00:08:10,200 --> 00:08:13,160 Speaker 1: information showed that he behaved almost identically to how he 157 00:08:13,280 --> 00:08:16,320 Speaker 1: did in the case that's being tried, you know, saying 158 00:08:16,320 --> 00:08:19,640 Speaker 1: he couldn't breathe calling out for his mama, claiming to 159 00:08:19,680 --> 00:08:22,840 Speaker 1: be disabled. What they saw was, you know, he was 160 00:08:22,880 --> 00:08:25,640 Speaker 1: literally eating chewing drugs in front of them because they 161 00:08:25,720 --> 00:08:27,960 Speaker 1: I guess, I've made an arrest for possession or styles 162 00:08:28,000 --> 00:08:31,280 Speaker 1: of controlled substances, and so he's shotting, you know, handfuls 163 00:08:31,320 --> 00:08:34,800 Speaker 1: of sentinel pills into his mouth. What they found when 164 00:08:34,840 --> 00:08:37,120 Speaker 1: they took him to the hospital later to claiming again 165 00:08:37,120 --> 00:08:40,640 Speaker 1: of having troubled breathing, is that he hadn't ingested so 166 00:08:40,720 --> 00:08:42,720 Speaker 1: much opioid that he was at risk then for a 167 00:08:42,720 --> 00:08:44,920 Speaker 1: heart attack, and he was told that then, and so 168 00:08:45,040 --> 00:08:49,120 Speaker 1: this becomes evidence that particularly relevant to the defenses theory 169 00:08:49,559 --> 00:08:51,960 Speaker 1: of causation, right that it was the drugs, or it 170 00:08:52,000 --> 00:08:55,240 Speaker 1: was the covid, or it was other health condition like 171 00:08:55,320 --> 00:08:58,760 Speaker 1: you know, being prone to heart disease, whatever that caused 172 00:08:58,760 --> 00:09:01,080 Speaker 1: his death, not the the knee on the neck. And 173 00:09:01,160 --> 00:09:04,560 Speaker 1: so typically speaking, this kind of evidence is called alternative 174 00:09:04,559 --> 00:09:08,160 Speaker 1: perpetrator evidence. Judge keeps calling it reverse fregal. So that's 175 00:09:08,160 --> 00:09:10,800 Speaker 1: where a defense attorney would say, hey, you know, my 176 00:09:10,840 --> 00:09:12,800 Speaker 1: clients didn't shoot him, this other guy did. Well, we 177 00:09:12,800 --> 00:09:15,200 Speaker 1: know nobody else had their knee on neck. And so 178 00:09:15,360 --> 00:09:19,080 Speaker 1: what it is is this is an alternative cause type argument. 179 00:09:19,120 --> 00:09:20,959 Speaker 1: So it's kind of a creative way to look at 180 00:09:21,040 --> 00:09:24,800 Speaker 1: that legal tool, if you will, or theory. And I 181 00:09:24,840 --> 00:09:27,200 Speaker 1: think the judge is really interested in letting the defense 182 00:09:27,240 --> 00:09:29,559 Speaker 1: introduce at least a part of that because it bolsters 183 00:09:29,600 --> 00:09:32,240 Speaker 1: their causation theory. And it sounds to me if he 184 00:09:32,280 --> 00:09:34,680 Speaker 1: does let it in, he'll create a very nuanced order 185 00:09:34,720 --> 00:09:36,400 Speaker 1: that says you can let this in but not that in. 186 00:09:36,480 --> 00:09:38,240 Speaker 1: If you step over here, then that's going to be 187 00:09:38,280 --> 00:09:40,400 Speaker 1: a problem because the other side can introduce that. But 188 00:09:40,480 --> 00:09:43,360 Speaker 1: I think he's particularly interested in giving the defense at 189 00:09:43,440 --> 00:09:46,880 Speaker 1: least an opportunity to present some of that. The prosecutor 190 00:09:47,120 --> 00:09:49,880 Speaker 1: said that the defense is doing a full on trial 191 00:09:49,960 --> 00:09:53,600 Speaker 1: of George Floyd who's not on trial. Doesn't that happen 192 00:09:53,679 --> 00:09:57,520 Speaker 1: frequently in criminal cases the defense tries to bring in 193 00:09:57,520 --> 00:10:02,360 Speaker 1: information that may not be helpful to the victim. You're 194 00:10:02,400 --> 00:10:05,240 Speaker 1: exactly right. You know, there's limits to when and how 195 00:10:05,320 --> 00:10:08,360 Speaker 1: we do that, for example, in a rape case as 196 00:10:08,360 --> 00:10:10,760 Speaker 1: the rape shield. So you know, if my theory of 197 00:10:10,800 --> 00:10:14,240 Speaker 1: the cases, she was you know, or he was quote 198 00:10:14,320 --> 00:10:17,960 Speaker 1: unquote consenting, or the one who invited the encounter. And 199 00:10:18,000 --> 00:10:19,400 Speaker 1: I want to point to the fact that they do 200 00:10:19,480 --> 00:10:21,800 Speaker 1: this on a regular basis this is a pattern. I 201 00:10:21,880 --> 00:10:24,640 Speaker 1: might have difficulty doing that. But if I want to 202 00:10:24,679 --> 00:10:29,120 Speaker 1: introduce evidence that my client was setting this person up, 203 00:10:29,200 --> 00:10:32,120 Speaker 1: because when they claimed right before and they set somebody 204 00:10:32,160 --> 00:10:35,800 Speaker 1: else up with fault allegations, you know, this becomes that 205 00:10:36,000 --> 00:10:38,679 Speaker 1: victim's modus operandi and it supports my claim that the 206 00:10:38,760 --> 00:10:42,240 Speaker 1: charges are fault. So character evidence isn't typically admitted, but 207 00:10:42,240 --> 00:10:44,840 Speaker 1: if you can fit it into an exception like modus 208 00:10:44,840 --> 00:10:47,680 Speaker 1: operandi appsence of mistake, right, you can get it in 209 00:10:47,800 --> 00:10:50,880 Speaker 1: typically speaking, And this is where this trial has sort 210 00:10:50,920 --> 00:10:54,199 Speaker 1: of turned on its head. Is that productive trying to 211 00:10:54,240 --> 00:10:57,240 Speaker 1: introduce this stuff on defense? They try to dirty up 212 00:10:57,240 --> 00:10:59,240 Speaker 1: the defendant by saying, well, this is what he always does, 213 00:10:59,360 --> 00:11:03,880 Speaker 1: right know. Reverse freetel allows the defense to introduce this 214 00:11:04,720 --> 00:11:08,280 Speaker 1: as to alternative perpetrators, and now this judge is saying 215 00:11:08,320 --> 00:11:11,960 Speaker 1: it also applies to alternative causes. You know, I don't 216 00:11:11,960 --> 00:11:14,800 Speaker 1: know how much we're really dirtying up George Floyd's character 217 00:11:15,480 --> 00:11:18,960 Speaker 1: with regard to allege drug use, because we know from 218 00:11:19,160 --> 00:11:21,480 Speaker 1: the incident, you know, in the case that we're trying, 219 00:11:21,720 --> 00:11:23,760 Speaker 1: he had enough sent and on a system you know, 220 00:11:24,120 --> 00:11:26,600 Speaker 1: I could kill him. That's already out there, it is 221 00:11:26,640 --> 00:11:29,120 Speaker 1: what it is. Do you think that in the end 222 00:11:29,360 --> 00:11:31,960 Speaker 1: that it's going to be the jurors looking at that 223 00:11:32,120 --> 00:11:34,920 Speaker 1: video for nine minutes and how hard is it to 224 00:11:35,000 --> 00:11:39,199 Speaker 1: overcome that? In some ways as good that that video 225 00:11:39,240 --> 00:11:41,920 Speaker 1: went viral when it did, because everybody's seen it were 226 00:11:41,960 --> 00:11:46,000 Speaker 1: sort of desensitized to it right to a degree, you know. 227 00:11:46,080 --> 00:11:48,640 Speaker 1: I mean the first time I watched it, you know, uh, 228 00:11:48,800 --> 00:11:50,480 Speaker 1: it made me tear up, you know, the second or 229 00:11:50,520 --> 00:11:53,840 Speaker 1: third time, right, you just get more used to the 230 00:11:53,880 --> 00:11:57,360 Speaker 1: fact that that's what happened. I think, um, what the 231 00:11:57,400 --> 00:11:59,240 Speaker 1: defense will try to do is place a lot of 232 00:11:59,240 --> 00:12:02,720 Speaker 1: emphasis on their experts, who are going to say, yeah, 233 00:12:02,840 --> 00:12:06,280 Speaker 1: I you know, I see the video, but when I 234 00:12:06,320 --> 00:12:09,839 Speaker 1: look at the forensic evidence, there is no merit to 235 00:12:09,880 --> 00:12:12,320 Speaker 1: the contention that the knee on the neck is what 236 00:12:12,440 --> 00:12:15,600 Speaker 1: killed him. And so you know, really working hard to 237 00:12:15,640 --> 00:12:18,480 Speaker 1: take emotion out of that. And I think the defense 238 00:12:18,480 --> 00:12:21,200 Speaker 1: will be sensible and argue, look, we're not saying this 239 00:12:21,320 --> 00:12:24,240 Speaker 1: is like great police behavior. We're not even saying that, 240 00:12:24,320 --> 00:12:27,280 Speaker 1: you know, this was probably the best choice to make, 241 00:12:27,520 --> 00:12:29,959 Speaker 1: but it's not criminal, right, we can we we cannot 242 00:12:30,000 --> 00:12:32,600 Speaker 1: like this, we can you know, want things to be 243 00:12:32,679 --> 00:12:35,400 Speaker 1: different in the future. Right. We know there's some laws 244 00:12:35,440 --> 00:12:39,480 Speaker 1: pass will address that, but this isn't criminal because remember, 245 00:12:39,480 --> 00:12:41,560 Speaker 1: in order for Chauvin to be guilty, he had to 246 00:12:41,559 --> 00:12:44,440 Speaker 1: have caused the death, and in light of everything else 247 00:12:44,520 --> 00:12:47,400 Speaker 1: that Floyd had going on, you know, in his body literally, 248 00:12:48,280 --> 00:12:51,080 Speaker 1: the state just can't prove that. So we cannot like this, 249 00:12:51,280 --> 00:12:53,840 Speaker 1: and we can believe that change is warranted, right and 250 00:12:53,960 --> 00:12:58,280 Speaker 1: rules and regulations, um, But that doesn't mean that Chauvin's guilty. 251 00:12:58,640 --> 00:13:03,360 Speaker 1: Thanks Krista. That's Krista Grosscheck, managing attorney of gros Check Law. 252 00:13:04,760 --> 00:13:07,800 Speaker 1: There are some surprising results in the latest jobs data 253 00:13:07,960 --> 00:13:11,800 Speaker 1: concerning men who have graduate and professional credentials. Joining me 254 00:13:11,840 --> 00:13:16,280 Speaker 1: is Bloomberg opinion columnist Justin Fox. Justin people usually think 255 00:13:16,360 --> 00:13:19,440 Speaker 1: the more education you have, the better your job is. 256 00:13:20,040 --> 00:13:23,520 Speaker 1: What do the stats show? They show that that's generally true. 257 00:13:24,040 --> 00:13:27,000 Speaker 1: I mean pretty much across the board, if you have 258 00:13:27,280 --> 00:13:31,400 Speaker 1: more education, you're both more likely to be employed and 259 00:13:31,800 --> 00:13:35,440 Speaker 1: your wages are higher. But I was looking at the 260 00:13:35,559 --> 00:13:40,640 Speaker 1: February job data for various things, especially comparing men and 261 00:13:40,679 --> 00:13:43,280 Speaker 1: women in different categories and how they have fared over 262 00:13:43,320 --> 00:13:46,040 Speaker 1: the past here, and I noticed, I mean, it's been 263 00:13:46,080 --> 00:13:48,560 Speaker 1: happening for a few years. It turned out that men 264 00:13:48,880 --> 00:13:52,800 Speaker 1: who just have a bachelor's degree have a higher employment rate, 265 00:13:52,840 --> 00:13:55,560 Speaker 1: a higher percentage of all of them have jobs than 266 00:13:55,640 --> 00:13:59,000 Speaker 1: men who have an advanced degree. And that's nothing like 267 00:13:59,040 --> 00:14:01,640 Speaker 1: that that I know of anywhere else in the statistics 268 00:14:01,640 --> 00:14:05,200 Speaker 1: where more education results in less employment. They've only been 269 00:14:05,200 --> 00:14:08,840 Speaker 1: releasing those statistics in two thousand fifteen, and it's been 270 00:14:08,880 --> 00:14:12,600 Speaker 1: true almost every month since then. Just to clarify, it's 271 00:14:12,640 --> 00:14:17,760 Speaker 1: not true with women. Correct, Women who um have advanced 272 00:14:17,760 --> 00:14:20,760 Speaker 1: degrees are more likely to have jobs than women with 273 00:14:20,920 --> 00:14:24,440 Speaker 1: just a bachelor's degree. What's the percentage of men in 274 00:14:24,520 --> 00:14:31,720 Speaker 1: the population who have graduate or professional degrees. Researchers looked 275 00:14:31,720 --> 00:14:35,000 Speaker 1: into this. I can't say for certain not, but I 276 00:14:35,160 --> 00:14:37,680 Speaker 1: checked in with a couple of people who've done work 277 00:14:37,880 --> 00:14:42,360 Speaker 1: on both sociologists actually have done work on gender and 278 00:14:42,560 --> 00:14:47,480 Speaker 1: education and employment, and neither of them had ever noticed 279 00:14:47,480 --> 00:14:49,520 Speaker 1: this before, although one of them now wants to look 280 00:14:49,520 --> 00:14:53,840 Speaker 1: into it. And what can we attribute this to, I mean, 281 00:14:54,320 --> 00:14:58,280 Speaker 1: possibly nothing at all. It's just it's a pretty small difference, 282 00:14:58,720 --> 00:15:01,480 Speaker 1: and you know, it might not be any big deal. 283 00:15:01,600 --> 00:15:05,440 Speaker 1: I guess the things that sort of we're going around 284 00:15:05,480 --> 00:15:07,600 Speaker 1: in my head and with a couple of people I 285 00:15:07,680 --> 00:15:12,560 Speaker 1: talked to were One possibility is because in the pay data, 286 00:15:12,600 --> 00:15:16,040 Speaker 1: which doesn't come out quite as frequently, but men with 287 00:15:16,080 --> 00:15:20,800 Speaker 1: advanced degrees, especially professional degrees like MBAs, they make more 288 00:15:20,840 --> 00:15:25,480 Speaker 1: money than anybody else, and so it's not like this 289 00:15:25,640 --> 00:15:30,160 Speaker 1: is some disadvantaged, struggling group. So it might be that 290 00:15:30,400 --> 00:15:32,760 Speaker 1: a bunch of them just quit their job made so 291 00:15:32,840 --> 00:15:34,880 Speaker 1: much money that they've dropped out of the labor force. 292 00:15:35,320 --> 00:15:37,800 Speaker 1: Another one that has but suggested to be by a 293 00:15:37,840 --> 00:15:39,960 Speaker 1: couple of people since the thing we've published, is that 294 00:15:40,080 --> 00:15:42,920 Speaker 1: men with advanced degrees are more likely to be married 295 00:15:42,960 --> 00:15:46,120 Speaker 1: to her success women, and you know, might have dropped 296 00:15:46,120 --> 00:15:48,480 Speaker 1: out of their labor force because their wife has become 297 00:15:48,520 --> 00:15:51,840 Speaker 1: a ceo UM. The only thing is that it's just 298 00:15:51,880 --> 00:15:54,680 Speaker 1: a little harder to imagine that those numbers of people 299 00:15:54,720 --> 00:15:57,360 Speaker 1: are so large that they can really affect this. It's 300 00:15:57,440 --> 00:16:00,160 Speaker 1: like that, although once again the number of men with 301 00:16:00,200 --> 00:16:04,040 Speaker 1: advanced degrees is pretty large too. So basically number one 302 00:16:04,200 --> 00:16:08,320 Speaker 1: answer to why this discrimancy is there is probably not 303 00:16:08,840 --> 00:16:11,400 Speaker 1: a big deal, maybe a kirk of the data, maybe 304 00:16:11,480 --> 00:16:15,160 Speaker 1: having to do with some risks dropping out. But the 305 00:16:15,160 --> 00:16:17,920 Speaker 1: other thing that I've watched over the last couple of 306 00:16:17,960 --> 00:16:22,600 Speaker 1: years i've looked at education data, is men really are 307 00:16:22,880 --> 00:16:26,160 Speaker 1: becoming much less likely than women to get degrees of 308 00:16:26,240 --> 00:16:29,320 Speaker 1: pretty much any sort. I mean, it's been true for 309 00:16:29,520 --> 00:16:34,400 Speaker 1: undergraduate degrees since the seventies, graduate school enrollment overall, since 310 00:16:35,680 --> 00:16:37,800 Speaker 1: law school. It just happened a couple of years ago, 311 00:16:38,200 --> 00:16:42,680 Speaker 1: two thousand sixteen, that women became the majority of law students, 312 00:16:42,760 --> 00:16:45,360 Speaker 1: And the most recent data is from the fall of 313 00:16:45,360 --> 00:16:48,520 Speaker 1: two thousand eighteen, women made up fifty six percent of 314 00:16:48,600 --> 00:16:52,320 Speaker 1: undergraduate in sixty of graduate students. There are studies done 315 00:16:52,320 --> 00:16:56,200 Speaker 1: of like like the highest prestige PhD programs, they're still 316 00:16:56,200 --> 00:16:59,120 Speaker 1: dominated by men, the highest paying jobs, and laws still 317 00:16:59,160 --> 00:17:02,960 Speaker 1: dominated by and but you look at the fields where 318 00:17:03,000 --> 00:17:06,399 Speaker 1: women sort of dominate the graduate degree, and a lot 319 00:17:06,480 --> 00:17:08,679 Speaker 1: of them they're not super high paid, but they're super 320 00:17:08,720 --> 00:17:14,240 Speaker 1: low unemployment rates, like nursing and education, And so maybe 321 00:17:14,280 --> 00:17:17,880 Speaker 1: there's something actually going on there where women are doing 322 00:17:17,960 --> 00:17:22,480 Speaker 1: a somewhat better job of targeting their education for employment. 323 00:17:22,560 --> 00:17:27,240 Speaker 1: Although the one caveat there is still overall, across most 324 00:17:27,880 --> 00:17:32,399 Speaker 1: different groups by education and race and a lot women 325 00:17:32,440 --> 00:17:35,520 Speaker 1: are less likely to be employed than men are partly 326 00:17:35,680 --> 00:17:39,080 Speaker 1: just because they tend to get stuck with care responsibilities 327 00:17:39,119 --> 00:17:41,920 Speaker 1: for kids and other relatives that men used to don't. 328 00:17:42,280 --> 00:17:46,520 Speaker 1: What did you learn about law school and lawyers? I mean, 329 00:17:46,600 --> 00:17:50,360 Speaker 1: basically law school had sort of resisted the trend towards 330 00:17:50,440 --> 00:17:54,800 Speaker 1: being majority women that other a lot of other programs had, 331 00:17:54,840 --> 00:17:59,760 Speaker 1: but it finally and and it definitely has been a 332 00:18:00,040 --> 00:18:03,600 Speaker 1: bee in some quarters that Trump getting elected, although I 333 00:18:03,640 --> 00:18:05,800 Speaker 1: can't really explain why it would have happened in two 334 00:18:05,840 --> 00:18:09,520 Speaker 1: thousand sixteen, but basically a lot of women, we're sort 335 00:18:09,520 --> 00:18:13,520 Speaker 1: of strongly motivated to act and look for ways to 336 00:18:13,600 --> 00:18:16,280 Speaker 1: fight for their own rights and other people's rights, and 337 00:18:16,359 --> 00:18:19,119 Speaker 1: that that had driven this bump in law school admissions, 338 00:18:19,160 --> 00:18:22,080 Speaker 1: because I mean, law school applications have been following for 339 00:18:22,560 --> 00:18:25,720 Speaker 1: a long time and they finally sort of bottomed out 340 00:18:25,760 --> 00:18:28,399 Speaker 1: and bounced back a little bit over the last five years. 341 00:18:28,800 --> 00:18:31,600 Speaker 1: It's women that are driving that, not men. And what 342 00:18:31,720 --> 00:18:36,280 Speaker 1: about the earnings of men and women? I mean, in general, 343 00:18:36,320 --> 00:18:39,760 Speaker 1: they're higher for men were just about everything they have 344 00:18:40,040 --> 00:18:44,280 Speaker 1: annual censusy with those annual data, and basically, you know, 345 00:18:44,280 --> 00:18:47,879 Speaker 1: the highest earnings group by education as men with professional 346 00:18:47,880 --> 00:18:51,600 Speaker 1: degrees who have median earnings of a hundred thirty six 347 00:18:51,640 --> 00:18:55,439 Speaker 1: thousand in two thousand nineteen, and women with professional degrees 348 00:18:55,480 --> 00:18:58,800 Speaker 1: have median earnings of eighty eight thousand, three one, so 349 00:18:58,920 --> 00:19:02,640 Speaker 1: a lot different and those with just bachelor's degree. It's 350 00:19:02,640 --> 00:19:08,240 Speaker 1: actually a smaller gap for men as for women. Thanks 351 00:19:08,359 --> 00:19:14,440 Speaker 1: Justin That's Bloomberg opinion columnist Justin Fox. Jones day system 352 00:19:14,480 --> 00:19:17,600 Speaker 1: for paying attorneys is so mysterious that some have dubbed 353 00:19:17,600 --> 00:19:21,000 Speaker 1: it a black box, but five lawyers who claimed the 354 00:19:21,000 --> 00:19:25,320 Speaker 1: black box waters down women lawyers compensation recently dropped their 355 00:19:25,400 --> 00:19:28,520 Speaker 1: lawsuit against the firm. The women had alleged that paid 356 00:19:28,560 --> 00:19:33,200 Speaker 1: decisions are controlled exclusively by jones Day's managing partner based 357 00:19:33,240 --> 00:19:37,280 Speaker 1: on subjective factors that aren't disclosed to the firm's lawyers, 358 00:19:37,320 --> 00:19:39,440 Speaker 1: But five of the six women who brought the suit 359 00:19:39,560 --> 00:19:42,760 Speaker 1: told a federal judge on March eleven that they're withdrawing it. 360 00:19:43,200 --> 00:19:46,640 Speaker 1: Their attorneys and jones Day representatives declined to say whether 361 00:19:46,680 --> 00:19:49,600 Speaker 1: the case had been settled. The lawsuit will go forward, 362 00:19:49,640 --> 00:19:53,919 Speaker 1: with one plaintiff, former jones Day lawyer Katrina Henderson, continuing 363 00:19:53,960 --> 00:19:57,240 Speaker 1: the suit. Joining me is Aaron mulvaney, Senior legal reporter 364 00:19:57,280 --> 00:20:01,159 Speaker 1: at Bloomberg Law Aaron first of all, explain why the 365 00:20:01,240 --> 00:20:05,040 Speaker 1: compensation system at Jones's Day is referred to as a 366 00:20:05,080 --> 00:20:09,800 Speaker 1: black box. So Jones Day has been excused of having 367 00:20:09,920 --> 00:20:14,159 Speaker 1: that black box, UM because these female attorneys that sued 368 00:20:14,200 --> 00:20:18,440 Speaker 1: the law firm say that the managers keep it very 369 00:20:18,480 --> 00:20:23,160 Speaker 1: secret what other partners are getting paid, and so it's 370 00:20:23,200 --> 00:20:28,200 Speaker 1: basically a matter of transparency about the compensation among lawyers 371 00:20:28,200 --> 00:20:32,440 Speaker 1: at the firm. Is a managing partner making all these 372 00:20:32,480 --> 00:20:36,560 Speaker 1: decisions without input from other partners? Is that unusual in 373 00:20:36,600 --> 00:20:40,480 Speaker 1: a law firm. I'm not sure if it's unusual, But 374 00:20:40,560 --> 00:20:44,280 Speaker 1: the female attorneys who pointed it out UM in their 375 00:20:44,359 --> 00:20:48,480 Speaker 1: lawsuits UM say that that led to that system that 376 00:20:48,600 --> 00:20:51,800 Speaker 1: kind of led that kept in secret and there was 377 00:20:51,880 --> 00:20:57,320 Speaker 1: a a possible bias coming from a top down system 378 00:20:57,720 --> 00:21:00,919 Speaker 1: that that had a preference for possibly male partners, was 379 00:21:00,960 --> 00:21:03,720 Speaker 1: the claim and the lawsuit, and they also claimed that 380 00:21:03,720 --> 00:21:06,720 Speaker 1: it was unusual among law firms UM to have that 381 00:21:06,800 --> 00:21:11,639 Speaker 1: kind of system. And as far as this lawsuit, five 382 00:21:11,680 --> 00:21:14,440 Speaker 1: of the six women are withdrawing. Tell us about that 383 00:21:14,520 --> 00:21:18,280 Speaker 1: the lawsuit is still going on but with less people. Yes, 384 00:21:18,400 --> 00:21:22,560 Speaker 1: the lawsuits that was filed UM. The news last week 385 00:21:22,720 --> 00:21:26,159 Speaker 1: was that uh, five of the six women who filed 386 00:21:26,400 --> 00:21:29,600 Speaker 1: who were part of the original lawsuit UM withdrew their 387 00:21:29,640 --> 00:21:33,520 Speaker 1: claims and one of the women will be moving forward, 388 00:21:33,560 --> 00:21:36,280 Speaker 1: but the others will not be. And there are very 389 00:21:36,320 --> 00:21:40,000 Speaker 1: few details on whether there was that was because if 390 00:21:40,000 --> 00:21:44,639 Speaker 1: there was a settlement UM or something like that, what 391 00:21:44,720 --> 00:21:47,359 Speaker 1: else could it be besides a settlement. I'm trying to 392 00:21:47,400 --> 00:21:53,120 Speaker 1: imagine what else would get five people to withdraw their complaint. Well, 393 00:21:53,160 --> 00:21:56,679 Speaker 1: in a statement the women, the women said that the 394 00:21:56,920 --> 00:22:02,000 Speaker 1: paid data that was perfected by the firm UM. They 395 00:22:02,000 --> 00:22:04,160 Speaker 1: said that the review of pay data that Jones Day 396 00:22:04,200 --> 00:22:08,000 Speaker 1: was forced to turn over didn't support allegations of widespread 397 00:22:08,040 --> 00:22:12,040 Speaker 1: pay disparities. So it's it's possible they didn't think they 398 00:22:12,040 --> 00:22:15,000 Speaker 1: had a case moving forward, but obviously I'm just speculating 399 00:22:15,200 --> 00:22:18,040 Speaker 1: at this At this point, I think one of the 400 00:22:18,359 --> 00:22:23,080 Speaker 1: purposes of this lawsuit was to try to UM to 401 00:22:23,320 --> 00:22:26,399 Speaker 1: have a voice for all the female lawyers at the 402 00:22:26,480 --> 00:22:30,240 Speaker 1: firm and not just a few of them, And so 403 00:22:30,480 --> 00:22:34,600 Speaker 1: I think that it's unclear what happened. You know, the 404 00:22:34,680 --> 00:22:38,000 Speaker 1: lawyers on both sides are being mum about what exactly 405 00:22:38,040 --> 00:22:41,679 Speaker 1: happened in this case, is the problem with a black 406 00:22:41,760 --> 00:22:46,200 Speaker 1: box or a system with no transparency that then there 407 00:22:46,280 --> 00:22:51,040 Speaker 1: is a reason to suspect that there are disparities in compensation. 408 00:22:52,520 --> 00:22:54,760 Speaker 1: I think the answer to that question is that a 409 00:22:54,760 --> 00:22:57,919 Speaker 1: lot of the advocates right now who really want to 410 00:22:57,920 --> 00:23:02,199 Speaker 1: push for equal pay believe that a key to equality 411 00:23:02,320 --> 00:23:06,600 Speaker 1: is transparency and have an empowering workers with knowledge about 412 00:23:06,600 --> 00:23:10,520 Speaker 1: what their coworkers make, and so a lot of states 413 00:23:10,760 --> 00:23:15,040 Speaker 1: have started pushing proposals like that. A few have um 414 00:23:15,080 --> 00:23:19,200 Speaker 1: some some transparency laws are in place, like in California, Washington, 415 00:23:19,320 --> 00:23:23,119 Speaker 1: and Maryland that allow a job applicant to ask a 416 00:23:23,200 --> 00:23:26,840 Speaker 1: salary range for a position, which is almost as far 417 00:23:26,880 --> 00:23:30,879 Speaker 1: as Colorado has gone as far as to ask employers 418 00:23:30,960 --> 00:23:35,520 Speaker 1: to post the job range for that position, um, no 419 00:23:35,560 --> 00:23:39,320 Speaker 1: matter if it's an applicant or um someone who currently 420 00:23:39,320 --> 00:23:42,120 Speaker 1: works there. I think this is kind of the next wave, 421 00:23:42,240 --> 00:23:44,680 Speaker 1: and the conversation about how to get to equal pay 422 00:23:44,800 --> 00:23:48,959 Speaker 1: is to talk about transparency and how to address disparities 423 00:23:49,000 --> 00:23:52,680 Speaker 1: by giving the workers themselves knowledge about what they make. 424 00:23:53,760 --> 00:23:58,680 Speaker 1: Several big law firms have faced discrimination claims in recent years. 425 00:23:59,240 --> 00:24:02,359 Speaker 1: Tell us about the lawsuits against Jones Day and where 426 00:24:02,359 --> 00:24:07,520 Speaker 1: they stand yes. Jones Day has been targeted by UH 427 00:24:07,760 --> 00:24:14,280 Speaker 1: several lawsuits claiming UH equal pay and promotions for female partners. 428 00:24:14,280 --> 00:24:18,040 Speaker 1: There have been settlements UM before there there have also 429 00:24:18,119 --> 00:24:22,120 Speaker 1: been and they've all had these kind of similar complaints 430 00:24:22,160 --> 00:24:25,760 Speaker 1: about lack of transparency about how attorneys are paid and 431 00:24:26,400 --> 00:24:30,919 Speaker 1: you know, even retaliation against UM women who complain about 432 00:24:30,960 --> 00:24:35,960 Speaker 1: this kind of male dominated culture at jones Day. And 433 00:24:35,960 --> 00:24:39,119 Speaker 1: then there have also been lawsuits. Jones Day is also 434 00:24:39,160 --> 00:24:44,000 Speaker 1: fighting a lawsuit UM from a married couple who actually 435 00:24:44,000 --> 00:24:47,679 Speaker 1: worked at jones Day and they they were accusing the 436 00:24:47,720 --> 00:24:52,159 Speaker 1: company of UM Gender and Equities for the firm for 437 00:24:52,440 --> 00:24:55,960 Speaker 1: the leave policy, which is another way that they believe 438 00:24:56,040 --> 00:24:58,479 Speaker 1: that there was an imbalance between men and women at 439 00:24:58,480 --> 00:25:01,960 Speaker 1: the firm. But jones Day is not the only law 440 00:25:02,000 --> 00:25:07,120 Speaker 1: firm to be sued by lawyers. You have Morrison and Forrester. 441 00:25:08,359 --> 00:25:12,160 Speaker 1: Oh yeah, Morrison and Forrester actually has a similar lawsuit 442 00:25:12,720 --> 00:25:15,800 Speaker 1: UM filed against them by a pair of women lawyers, 443 00:25:15,920 --> 00:25:20,199 Speaker 1: also against the maternity leaves policy and alleging that they 444 00:25:20,240 --> 00:25:23,679 Speaker 1: were punished for taking off time related to pregnancies. And 445 00:25:23,840 --> 00:25:27,640 Speaker 1: that case appears to be heading to trial. And there 446 00:25:27,640 --> 00:25:30,800 Speaker 1: have been other cases against law firms UM that have 447 00:25:30,920 --> 00:25:35,720 Speaker 1: settled Like I mentioned the Jones Day lawsuit previously. Uh, 448 00:25:35,880 --> 00:25:39,919 Speaker 1: it's chad Bourne and Park which is acquired by Norton 449 00:25:40,040 --> 00:25:44,080 Speaker 1: Rose Bulbright. They settled a lawsuit in two thousand and eighteen, 450 00:25:44,640 --> 00:25:48,840 Speaker 1: and Ogletry and Deacons Um also settled similar suits and 451 00:25:49,400 --> 00:25:52,600 Speaker 1: and disclosed terms in recent years. A lot of settlements, 452 00:25:52,600 --> 00:25:56,600 Speaker 1: not too many trials. Thanks so much, Aaron. That's Aaron mulvaney, 453 00:25:56,680 --> 00:26:00,119 Speaker 1: senior legal reporter at Bloomberg Law. And that's a for 454 00:26:00,160 --> 00:26:02,960 Speaker 1: this edition of the Bloomberg Law Show. Remember you can 455 00:26:03,000 --> 00:26:05,840 Speaker 1: always at the latest legal news on our Bloomberg Law Podcast. 456 00:26:06,080 --> 00:26:09,000 Speaker 1: You can find them on Apple Podcasts, Spotify and at 457 00:26:09,240 --> 00:26:14,760 Speaker 1: www dot Bloomberg dot com slash podcast Slash Law. I'm 458 00:26:14,840 --> 00:26:18,080 Speaker 1: June Grosso. Thanks so much for listening, and please tune 459 00:26:18,080 --> 00:26:20,640 Speaker 1: into The Bloomberg Law Show every week night at ten 460 00:26:20,720 --> 00:26:23,160 Speaker 1: pm Easter right here on Bloomberg Radio