1 00:00:03,200 --> 00:00:09,160 Speaker 1: This is Bloomberg Law with June Brusso from Bloomberg Radio. Well, 2 00:00:09,240 --> 00:00:11,560 Speaker 1: she's a very good person. You have many lawyers, I 3 00:00:11,600 --> 00:00:17,200 Speaker 1: have any lawyers, uh, and I've had many lawyers. But 4 00:00:17,360 --> 00:00:20,640 Speaker 1: she's said somebody that I think it's done a very 5 00:00:20,720 --> 00:00:26,800 Speaker 1: very good job. One couplic cases, and we have numerous 6 00:00:26,840 --> 00:00:30,840 Speaker 1: cases that never happened. You know, I'm always a target, 7 00:00:31,040 --> 00:00:34,400 Speaker 1: unfortunately and very sadly as it's very it's a very 8 00:00:34,479 --> 00:00:39,040 Speaker 1: unfair situation. Former President Donald Trump is singing the praises 9 00:00:39,080 --> 00:00:42,760 Speaker 1: of the attorney who's using an aggressive legal strategy to 10 00:00:42,920 --> 00:00:46,519 Speaker 1: counter attack in some of his highest priority legal fights. 11 00:00:46,720 --> 00:00:51,600 Speaker 1: Bloomberg Legal reporter Eric Larson profiled Trump's new lawyer, Elena Habba, 12 00:00:51,960 --> 00:00:54,320 Speaker 1: and spoke to the former president to get his take 13 00:00:54,360 --> 00:00:57,280 Speaker 1: on her. Eric start by telling us a little about 14 00:00:57,320 --> 00:01:01,040 Speaker 1: Elena Habba. So, Elena Habba is a thirty eight year 15 00:01:01,080 --> 00:01:04,440 Speaker 1: old lawyer from New Jersey. She founded a small law 16 00:01:04,480 --> 00:01:07,880 Speaker 1: firm that now has five lawyers total. She is a 17 00:01:07,920 --> 00:01:12,319 Speaker 1: member of Donald Trump's Bedminster golf Club. She's fairly well 18 00:01:12,400 --> 00:01:15,720 Speaker 1: to do. She's originally from New Jersey, and she told 19 00:01:15,760 --> 00:01:18,760 Speaker 1: me that she wanted to help Trump out because she 20 00:01:18,880 --> 00:01:21,640 Speaker 1: is a true believer in his legal causes. She's not 21 00:01:21,720 --> 00:01:24,840 Speaker 1: a high profile name. Why did Trump go with her? 22 00:01:25,160 --> 00:01:28,000 Speaker 1: I had heard from her and separately from Trump, that 23 00:01:28,200 --> 00:01:31,360 Speaker 1: other members that the Bedminster Golf Club had told Trump 24 00:01:31,360 --> 00:01:33,920 Speaker 1: about her legal work for them. So she had represented 25 00:01:33,959 --> 00:01:35,959 Speaker 1: other members at the club, done some legal work here 26 00:01:35,959 --> 00:01:37,920 Speaker 1: and there, and they liked I guess the results, and 27 00:01:37,959 --> 00:01:41,039 Speaker 1: they knew that Trump is always in need of legal help. 28 00:01:41,160 --> 00:01:44,559 Speaker 1: So she was recommended and it basically he had someone 29 00:01:44,560 --> 00:01:46,600 Speaker 1: at the club reach out her, get her business card. 30 00:01:47,000 --> 00:01:50,640 Speaker 1: Then several interviews followed with him in person and then 31 00:01:50,680 --> 00:01:53,680 Speaker 1: also with the Trump organization legal team. In general. She 32 00:01:53,760 --> 00:01:57,920 Speaker 1: has an aggressive legal strategy, which Trump likes. Yeah, you know, 33 00:01:58,080 --> 00:02:00,559 Speaker 1: she's been very aggressive in court. You know, Trump says 34 00:02:00,560 --> 00:02:02,720 Speaker 1: this was his idea to get more aggressive, and I 35 00:02:02,760 --> 00:02:05,480 Speaker 1: think that in Elena Habba he found someone willing to 36 00:02:05,560 --> 00:02:09,240 Speaker 1: carry out this aggressive strategy. So it started out with 37 00:02:09,560 --> 00:02:12,120 Speaker 1: your call that Trump had two lawsuits against him by 38 00:02:12,120 --> 00:02:15,280 Speaker 1: different women Ee Gene Carroll, New York advice columnist and 39 00:02:15,320 --> 00:02:18,840 Speaker 1: a former Apprentice contestant Summer Reservos. They both claimed that 40 00:02:18,880 --> 00:02:21,880 Speaker 1: they were sexually assaulted by him and that he defamed 41 00:02:21,919 --> 00:02:24,560 Speaker 1: them by denying it. So those cases had been going 42 00:02:24,600 --> 00:02:27,200 Speaker 1: on for a while, and Elena Habba took over his 43 00:02:27,280 --> 00:02:31,760 Speaker 1: defense and basically threatened counterclaims against them under the anti 44 00:02:31,840 --> 00:02:35,000 Speaker 1: slap laws. And you know, alleging bad faith lawsuits had 45 00:02:35,000 --> 00:02:39,160 Speaker 1: been filed against Trump sum Reservos. The apprentice contestant dropped 46 00:02:39,160 --> 00:02:42,040 Speaker 1: her lawsuit after that, and in the case of Eging Carroll, 47 00:02:42,080 --> 00:02:44,360 Speaker 1: a judge ruled that the claim was coming too late. 48 00:02:44,440 --> 00:02:48,040 Speaker 1: But Trump was real happy about that Zervos case going away. 49 00:02:48,160 --> 00:02:51,399 Speaker 1: He congratulated her on that. He printed out a news 50 00:02:51,520 --> 00:02:54,519 Speaker 1: article and signed it, and she has a framed copy 51 00:02:54,560 --> 00:02:56,800 Speaker 1: of that hanging on her wall. So at any rate, 52 00:02:56,840 --> 00:02:59,200 Speaker 1: he gave her some more matters to handle, and then 53 00:02:59,240 --> 00:03:02,600 Speaker 1: she went on the offense against his other courtroom foes. Right, 54 00:03:02,639 --> 00:03:06,519 Speaker 1: She's filed some lawsuits that seemed designed to get headlines 55 00:03:06,919 --> 00:03:11,040 Speaker 1: and also looked like they could be easily dismissed. I mean, certainly, 56 00:03:11,360 --> 00:03:13,880 Speaker 1: I spoke with legal experts at the time that these 57 00:03:13,919 --> 00:03:16,880 Speaker 1: lawsuits were filed who said that they seemed pretty weak, 58 00:03:17,040 --> 00:03:20,840 Speaker 1: that they were frivolous perhaps, So yeah, we'll see what happens. 59 00:03:20,880 --> 00:03:23,920 Speaker 1: These are three separate lawsuits, one filed against the new 60 00:03:23,960 --> 00:03:27,160 Speaker 1: York Attorney General Leticia James, claiming that her investigation into 61 00:03:27,160 --> 00:03:31,400 Speaker 1: Trump's company is politically motivated in bogus and seeking an 62 00:03:31,440 --> 00:03:35,400 Speaker 1: injunction to force the investigation to end. The other was 63 00:03:35,480 --> 00:03:39,440 Speaker 1: filed more recently against Hillary Clinton, the Democratic Party and 64 00:03:39,560 --> 00:03:43,200 Speaker 1: several others, alleging a big conspiracy to undermine Trump while 65 00:03:43,240 --> 00:03:45,800 Speaker 1: he was in office in regards to the Russia investigation 66 00:03:45,840 --> 00:03:49,240 Speaker 1: and things like that. And then another lawsuit filed against 67 00:03:49,280 --> 00:03:52,560 Speaker 1: his estranged niece Mary Trump and The New York Times, 68 00:03:52,560 --> 00:03:55,640 Speaker 1: seeking a hundred million dollars in damages for her acting 69 00:03:55,640 --> 00:03:58,680 Speaker 1: as a source for the newspapers award winning article about 70 00:03:58,720 --> 00:04:02,560 Speaker 1: his finances. Our track record on Trump cases hasn't been 71 00:04:02,920 --> 00:04:07,000 Speaker 1: all wins, No, definitely, not so far. We've seen a 72 00:04:07,000 --> 00:04:10,279 Speaker 1: few big setbacks. She had tried to fight against subpoenas 73 00:04:10,320 --> 00:04:12,760 Speaker 1: that were issued by the New York Attorney General to 74 00:04:12,880 --> 00:04:15,480 Speaker 1: prevent Trump and two of his children, Don Junior and 75 00:04:15,520 --> 00:04:19,279 Speaker 1: Ivanka from having to testify under oath. They really wanted 76 00:04:19,279 --> 00:04:22,280 Speaker 1: to avoid that, and she argued really hard against it, 77 00:04:22,320 --> 00:04:25,640 Speaker 1: but a judge upheld those subpoenas back in February. She's 78 00:04:25,640 --> 00:04:28,320 Speaker 1: appealing that, but she lost on that and in regards 79 00:04:28,360 --> 00:04:32,680 Speaker 1: to the subpoena for Trump's records that was also upheld, 80 00:04:32,880 --> 00:04:36,400 Speaker 1: and Trump agreed to abide by it with Alena Habba's help, 81 00:04:36,720 --> 00:04:39,800 Speaker 1: but instead he didn't follow through, and she basically went 82 00:04:39,839 --> 00:04:41,760 Speaker 1: to the court on the day that the documents were 83 00:04:41,800 --> 00:04:44,480 Speaker 1: due and said, actually, we object to this subpoena. The 84 00:04:44,560 --> 00:04:47,560 Speaker 1: judge was not happy. He held Donald Trump in contempt 85 00:04:47,560 --> 00:04:50,960 Speaker 1: of court and find him ten thousand dollars a day, 86 00:04:51,040 --> 00:04:54,920 Speaker 1: which was just lifted the other day. Provisionally, they're trying 87 00:04:54,920 --> 00:04:56,919 Speaker 1: to get him out of contempt, but he owes the 88 00:04:56,920 --> 00:04:59,880 Speaker 1: court a hundred and ten thousand dollars now. And frankly, 89 00:05:00,000 --> 00:05:02,200 Speaker 1: this is a result of the way that Elina Habba 90 00:05:02,360 --> 00:05:05,120 Speaker 1: handled it. They both fought the judge for this, by 91 00:05:05,160 --> 00:05:07,719 Speaker 1: the way, and Trump does not think that miss Habba 92 00:05:07,800 --> 00:05:12,359 Speaker 1: did anything wrong in her representation. Drop in the bucket 93 00:05:12,400 --> 00:05:15,239 Speaker 1: for Trump. Let's listen to what Trump told you about 94 00:05:15,279 --> 00:05:20,599 Speaker 1: that ruling. It's just a very unfinished situation. But I 95 00:05:20,640 --> 00:05:24,680 Speaker 1: think she's done a very good job and she'll continue 96 00:05:24,680 --> 00:05:27,799 Speaker 1: to do. A story in The Daily Beast in March 97 00:05:27,960 --> 00:05:32,280 Speaker 1: described other members of Trump's legal team complaining about hob 98 00:05:32,560 --> 00:05:36,120 Speaker 1: and mocking her. Yes and that was one of probably 99 00:05:36,160 --> 00:05:39,880 Speaker 1: several pieces in the legal news world that had some 100 00:05:39,960 --> 00:05:42,839 Speaker 1: negative things to say about miss hobb And, and frankly, 101 00:05:43,320 --> 00:05:45,479 Speaker 1: that's part of the reason I wanted to write this profile. 102 00:05:45,560 --> 00:05:48,040 Speaker 1: I got a chance to email with her in covering 103 00:05:48,040 --> 00:05:50,839 Speaker 1: these cases and then finally met her in person in 104 00:05:50,920 --> 00:05:55,159 Speaker 1: court during that contempt hearing, and you know, regardless of 105 00:05:55,200 --> 00:05:57,359 Speaker 1: the cases and how strongly are I felt like she 106 00:05:57,400 --> 00:05:59,320 Speaker 1: deserved a little bit more of a fair shake in 107 00:05:59,400 --> 00:06:02,760 Speaker 1: terms of making her a little more three dimensional and 108 00:06:02,760 --> 00:06:04,839 Speaker 1: and showing what she she's like because some of those 109 00:06:04,920 --> 00:06:07,120 Speaker 1: pieces I'm not going to call anyone out specifically, but 110 00:06:07,200 --> 00:06:08,960 Speaker 1: she said that made her feel like she was being 111 00:06:09,000 --> 00:06:11,600 Speaker 1: portrayed as having no experience, some podunk lawyer in New 112 00:06:11,640 --> 00:06:14,800 Speaker 1: Jersey who had some personal connection to Trump and got 113 00:06:14,839 --> 00:06:17,159 Speaker 1: this work. She says that that's just not true, and 114 00:06:17,200 --> 00:06:19,120 Speaker 1: I said, fine, you know, I want to learn more 115 00:06:19,120 --> 00:06:22,239 Speaker 1: about you. So that's what the pieces about. Final question, 116 00:06:22,720 --> 00:06:25,719 Speaker 1: Trump is known for stiffing some of his lawyers. Is 117 00:06:25,760 --> 00:06:28,880 Speaker 1: she being paid? I did ask her that and she 118 00:06:28,960 --> 00:06:32,520 Speaker 1: said yes, she said that she is being paid, and 119 00:06:32,520 --> 00:06:36,640 Speaker 1: and I believe her so great profile. Thanks so much, Eric, 120 00:06:36,839 --> 00:06:40,719 Speaker 1: That's Bloomberg legal reporter Eric Larson coming up next on 121 00:06:40,720 --> 00:06:45,200 Speaker 1: the Bloomberg Law Show, How to Spot Dishonest Lawyers. They're 122 00:06:45,279 --> 00:06:49,000 Speaker 1: probably playing a game. I'm June Grosso and you're listening 123 00:06:49,040 --> 00:06:49,760 Speaker 1: to Bloomberg