1 00:00:05,791 --> 00:00:08,833 Welcome to LawNext PR, the podcast where we put a spotlight 2 00:00:08,833 --> 00:00:11,833 on the latest news coming out of the legal tech industry. 3 00:00:12,000 --> 00:00:16,208 This is Bob Ambrogi, and in each sponsored episode of LawNext PR, I interview 4 00:00:16,208 --> 00:00:20,125 a legal tech company about its just released news or latest developments. 5 00:00:20,750 --> 00:00:24,958 Today we're talking about Trellis AI, a new set of generative AI tools 6 00:00:24,958 --> 00:00:29,916 from the legal technology company Trellis designed to simplify litigation tasks. 7 00:00:30,666 --> 00:00:33,750 Joining me to discuss the new feature is Nicole Clark, 8 00:00:33,750 --> 00:00:35,750 the founder and CEO of Trellis. 9 00:00:35,750 --> 00:00:38,708 Nicole, welcome to the show. Thanks so much, Bob. 10 00:00:38,708 --> 00:00:41,083 Great to be here. Always good to see you. 11 00:00:42,250 --> 00:00:45,333 So, before we get into talking about Trellis AI, 12 00:00:45,333 --> 00:00:46,708 that which you recently launched. 13 00:00:46,708 --> 00:00:49,708 Why don't you give us a little bit of an overview of Trellis and what you do? 14 00:00:50,041 --> 00:00:51,041 Absolutely. 15 00:00:51,041 --> 00:00:55,166 So Trellis is a state trial court research, 16 00:00:55,333 --> 00:00:57,541 analytics and AI platform. 17 00:00:57,541 --> 00:01:02,291 And what I mean by that is for anyone who has worked at the trial court 18 00:01:02,291 --> 00:01:06,291 level, ever been in state court, they know that the state trial court 19 00:01:06,291 --> 00:01:10,000 system is a massively fragmented and opaque system. 20 00:01:10,375 --> 00:01:13,750 And what we do is we go in county by county. 21 00:01:13,750 --> 00:01:17,750 We aggregate the state trial court data, we structure it, normalize it, 22 00:01:17,750 --> 00:01:21,083 make it searchable for really a single source of truth 23 00:01:21,083 --> 00:01:22,791 for the United States, trial court system. 24 00:01:22,791 --> 00:01:23,875 for the United States, trial court system. 25 00:01:24,250 --> 00:01:26,875 And then, of course, we're able to then power analytics 26 00:01:26,875 --> 00:01:30,208 like judge analytics, law firm analytics, and now AI. 27 00:01:30,208 --> 00:01:31,666 On top of that. 28 00:01:31,666 --> 00:01:34,166 You were yourself a litigator before starting this company. 29 00:01:34,166 --> 00:01:37,166 So you you know, the paying a lot of lawyers, felt right. 30 00:01:37,250 --> 00:01:39,541 I know it well, I was an employment litigator, 31 00:01:39,541 --> 00:01:42,541 which means I was in state trial court all the time. 32 00:01:42,583 --> 00:01:47,708 And I simply couldn't believe that, a product like Trellis didn't exist yet. 33 00:01:47,750 --> 00:01:48,458 How did we. 34 00:01:48,458 --> 00:01:51,083 How did we have, you know, such a great ability 35 00:01:51,083 --> 00:01:55,208 to look into court of appeals and to look into Supreme Court. 36 00:01:55,208 --> 00:01:59,083 But yet in the court system where every case starts trial court, 37 00:01:59,333 --> 00:02:00,875 we just had a black box. 38 00:02:02,000 --> 00:02:04,208 So you've just recently launched Trellis AI, 39 00:02:04,208 --> 00:02:07,666 which is a really kind of a whole new set of features and functionality, 40 00:02:08,208 --> 00:02:10,000 on top of what you had already built. 41 00:02:10,000 --> 00:02:13,625 So why don't you tell us about Trellis AI on a high level, 42 00:02:13,625 --> 00:02:15,625 and then we can dig into it a little bit more? 43 00:02:15,625 --> 00:02:16,666 Absolutely. 44 00:02:16,666 --> 00:02:18,458 So, you know, with with the data 45 00:02:18,458 --> 00:02:19,166 So, you know, with with the data 46 00:02:19,166 --> 00:02:22,291 that we have, we have this just absolutely incredible data 47 00:02:22,291 --> 00:02:25,291 set at a massive scale and, 48 00:02:25,291 --> 00:02:27,833 a way that it just is unmatched. 49 00:02:27,833 --> 00:02:32,875 And because we have that, we have just hundreds of millions 50 00:02:32,875 --> 00:02:36,208 of motions and briefs and really what is effectively attorney work product. 51 00:02:36,666 --> 00:02:41,541 And we're able to use that to help litigators. 52 00:02:41,583 --> 00:02:44,750 We really work for the product is for trial court litigators. 53 00:02:45,208 --> 00:02:48,208 And we're able to help them do litigation tasks 54 00:02:48,208 --> 00:02:51,208 that they, would otherwise be doing more manually. 55 00:02:51,625 --> 00:02:54,541 And we're able to do that because we have this incredible data 56 00:02:54,541 --> 00:02:57,541 set of which to train and 57 00:02:57,541 --> 00:02:58,375 to, uses as examples. 58 00:02:58,375 --> 00:03:00,041 to, uses as examples. 59 00:03:00,958 --> 00:03:03,041 So, can you talk a little bit more about the data side, 60 00:03:03,041 --> 00:03:07,250 just in terms of how extensive it is and how that, how it perhaps 61 00:03:07,250 --> 00:03:10,250 is different from what other companies out there in the market might have? 62 00:03:10,375 --> 00:03:11,041 Absolutely. 63 00:03:11,041 --> 00:03:14,083 So attorneys have traditionally used really Court 64 00:03:14,083 --> 00:03:17,166 of Appeals research, which of course makes sense. 65 00:03:17,583 --> 00:03:20,041 Court of Appeals is binding on the lower courts, 66 00:03:20,041 --> 00:03:22,500 and the lower courts are supposed to listen. 67 00:03:22,500 --> 00:03:26,125 The truth of the matter is, at the trial court level, judges really do anything. 68 00:03:26,125 --> 00:03:29,333 And and anyone who has practiced in state trial court 69 00:03:29,333 --> 00:03:32,333 knows quite how unpredictable that court system is. 70 00:03:32,375 --> 00:03:35,166 And part of its unpredictability is the the, 71 00:03:35,250 --> 00:03:36,750 impossibility of 72 00:03:36,750 --> 00:03:39,750 trying to understand what happens in that court system. 73 00:03:39,958 --> 00:03:40,958 And so 74 00:03:40,958 --> 00:03:41,666 at this point, 75 00:03:41,666 --> 00:03:44,666 we have over 2600 counties. 76 00:03:44,708 --> 00:03:49,250 Again, every county is a fragmented, unique universe onto its own. 77 00:03:49,625 --> 00:03:52,750 And then on top of that, we have hundreds of millions 78 00:03:52,750 --> 00:03:56,083 of motions and briefs and judicial rulings. 79 00:03:56,291 --> 00:03:57,333 And then from there, we're able 80 00:03:57,333 --> 00:04:01,625 to synthesize information out, like practical information on how what 81 00:04:01,625 --> 00:04:06,125 the particular judge that you're appearing before, how they rule on similar cases, 82 00:04:06,125 --> 00:04:10,750 what their motion grain rates are to how a particular law firm, 83 00:04:11,041 --> 00:04:15,000 really, what does their performance look like across the nation? 84 00:04:15,000 --> 00:04:17,416 So we're now at 45 states, 85 00:04:17,416 --> 00:04:20,291 2600 counties, which is over 3000 courts. 86 00:04:20,500 --> 00:04:22,958 And this is the data set that we have. 87 00:04:22,958 --> 00:04:26,791 Just think of it as the entire United States court system, 88 00:04:26,916 --> 00:04:31,208 which is so much larger than simply court of Appeals, 89 00:04:31,208 --> 00:04:37,541 because every case starts in trial court and 99.7% of cases don't make it to trial. 90 00:04:37,541 --> 00:04:40,583 They live in that state trial court system, and they die there. 91 00:04:41,000 --> 00:04:43,250 And it's rare, actually, to make it all the way to trial 92 00:04:43,250 --> 00:04:45,333 and then to court of appeals, 93 00:04:45,333 --> 00:04:48,750 which is the subset of data that was historically used for research. 94 00:04:49,541 --> 00:04:53,583 So how does all that data help power these new AI tools? 95 00:04:53,583 --> 00:04:54,291 You've launched? 96 00:04:55,250 --> 00:04:56,000 So think 97 00:04:56,000 --> 00:05:00,416 about it as some of the work that we have watched our customers 98 00:05:00,416 --> 00:05:03,500 and our litigators do more manually on our system. 99 00:05:03,500 --> 00:05:06,125 So let's take motion drafting for example. 100 00:05:06,125 --> 00:05:09,750 We've always been heavily utilized for motion drafting because we 101 00:05:09,750 --> 00:05:14,541 have hundreds of millions of examples of motions on before a particular 102 00:05:14,541 --> 00:05:18,000 judge on a particular cause of action with very similar case facts. 103 00:05:18,291 --> 00:05:21,708 But historically, lawyers were pulling those more manually and working with that 104 00:05:21,708 --> 00:05:24,708 to create sort of to use as an outline and create a motion. 105 00:05:24,833 --> 00:05:30,041 What they can do now on Trellis is by practice area, by particular 106 00:05:30,041 --> 00:05:31,166 cause of action. 107 00:05:31,166 --> 00:05:34,791 They can draft msj arguments in the way that we do that is 108 00:05:35,000 --> 00:05:36,708 we have the complaint, because of course we have everything that's filed in the 109 00:05:36,708 --> 00:05:38,500 we have the complaint, because of course we have everything that's filed in the 110 00:05:38,500 --> 00:05:40,333 in the state trial court system. 111 00:05:40,333 --> 00:05:43,291 We extract out all the important facts. 112 00:05:43,291 --> 00:05:47,708 We search across our entire database of similar cases to find cases 113 00:05:47,708 --> 00:05:49,458 with the most similar facts. 114 00:05:49,458 --> 00:05:53,500 We then look at msj arguments in those cases and arguments 115 00:05:53,500 --> 00:05:54,875 that have actually won. 116 00:05:54,875 --> 00:06:00,333 We take argument and case law that's able to use to generate the argument. 117 00:06:00,333 --> 00:06:03,083 And then we take the facts of the attorney's particular case. 118 00:06:03,083 --> 00:06:06,125 So they're working on and apply the facts of their case 119 00:06:06,250 --> 00:06:10,625 to this winning argument in law, and provide them with the output 120 00:06:10,625 --> 00:06:16,333 of these msj arguments, which are absolutely, incredible. 121 00:06:16,333 --> 00:06:20,416 And, and work to create such a, such a strong starting point. 122 00:06:20,708 --> 00:06:26,041 And it's not just sort of random Court of Appeals text generated, 123 00:06:26,041 --> 00:06:30,708 but it is able to use the hundreds of millions of documents 124 00:06:30,708 --> 00:06:33,458 that attorney to filed and where they've actually won. 125 00:06:33,458 --> 00:06:36,500 And it's able to use that case law and those arguments 126 00:06:36,500 --> 00:06:39,500 to create this draft output for the litigators. 127 00:06:40,125 --> 00:06:43,625 So the AI is getting trained against the arguments that have worked, 128 00:06:43,625 --> 00:06:47,041 that have won the cases that have worked then and won in other cases, 129 00:06:47,041 --> 00:06:50,041 and applying it to your factual situation. 130 00:06:50,291 --> 00:06:51,875 We said it even better than I did. 131 00:06:53,083 --> 00:06:54,875 Well, I'll just try to summarize, 132 00:06:54,875 --> 00:06:56,583 And you mentioned motions for summary judgment. 133 00:06:56,583 --> 00:06:58,458 It's also motions to dismiss as well. Right. 134 00:06:58,458 --> 00:06:59,333 That's correct. 135 00:06:59,333 --> 00:07:02,458 And we're obviously going to continue building on from there. 136 00:07:02,458 --> 00:07:04,958 Think of this as a starting point with quite a quite a bit to tackle, 137 00:07:04,958 --> 00:07:05,958 Think of this as a starting point with quite a quite a bit to tackle, 138 00:07:05,958 --> 00:07:08,708 but we're trying to go after the most common 139 00:07:08,708 --> 00:07:12,583 or most difficult, most time consuming motions as a starting place. 140 00:07:13,125 --> 00:07:14,166 Right. 141 00:07:14,166 --> 00:07:16,541 And, and so something else that, 142 00:07:16,541 --> 00:07:20,083 there's these AI tools let, a litigator do, 143 00:07:20,750 --> 00:07:25,916 is to create a kind of an assessment of, of the case that you have at hand. 144 00:07:25,916 --> 00:07:27,583 Right. Can you explain that? 145 00:07:27,583 --> 00:07:28,333 Absolutely. 146 00:07:28,333 --> 00:07:33,125 And and this is, one of the a features that our customers 147 00:07:33,125 --> 00:07:34,625 are really excited about. 148 00:07:34,625 --> 00:07:36,166 So what we do here 149 00:07:36,166 --> 00:07:40,375 is we allow from just the start of a case where you have the complaint, 150 00:07:40,625 --> 00:07:45,583 and what we do is we use all of our data, similar cases, similar outcomes. 151 00:07:46,291 --> 00:07:49,125 What verdicts look like, what juries look like. 152 00:07:49,125 --> 00:07:52,125 And what we do is a full case assessment based on that. 153 00:07:52,250 --> 00:07:55,916 So what are some of the tasks that attorneys need to do right away? 154 00:07:55,916 --> 00:07:58,291 Creating timelines, creating chronologies. 155 00:07:58,291 --> 00:08:02,916 You know, identifying witnesses to depose, identifying witnesses that you need 156 00:08:02,916 --> 00:08:06,958 to find and may have valuable information that you'll need to notice depositions. 157 00:08:07,083 --> 00:08:09,250 So a lot of really practical, tactical information, 158 00:08:09,250 --> 00:08:10,416 So a lot of really practical, tactical information, 159 00:08:10,416 --> 00:08:13,416 but then mixed with a high level about the case, 160 00:08:13,875 --> 00:08:15,541 what are the legal issues in this case? 161 00:08:15,541 --> 00:08:18,291 What are the elements that need to be proven from a very start? 162 00:08:18,291 --> 00:08:21,708 How is plaintiff attempting to prove those from as a starting place? 163 00:08:21,708 --> 00:08:24,708 How will they need to continue in order to win? 164 00:08:24,833 --> 00:08:27,750 What are common defenses that have been really successful 165 00:08:27,750 --> 00:08:30,625 against these arguments in cases with similar facts? 166 00:08:30,625 --> 00:08:33,625 So think of it as the very high level. 167 00:08:33,833 --> 00:08:35,375 What does a jury pool look like? 168 00:08:35,375 --> 00:08:38,166 What are recent verdicts look like for similar cases, 169 00:08:38,166 --> 00:08:41,208 so that you can see the case for a big picture from the very start? 170 00:08:41,458 --> 00:08:44,458 What do I need to prove and what have other cases? 171 00:08:44,750 --> 00:08:46,458 What has developed in those cases? 172 00:08:46,458 --> 00:08:49,458 It could be helpful for me from a starting place 173 00:08:49,458 --> 00:08:52,416 then down to the tactical, given these facts, 174 00:08:52,416 --> 00:08:56,541 given these causes of action, what are motions that you should consider? 175 00:08:56,708 --> 00:08:58,958 What are the next steps that you need to do? 176 00:08:58,958 --> 00:09:00,958 What should you talk to the client about? 177 00:09:00,958 --> 00:09:05,875 So we're trying to really give a a of bull case 178 00:09:05,875 --> 00:09:10,125 assessment, evaluation of a case from the very start, which can be used 179 00:09:10,125 --> 00:09:11,708 in so many different ways. 180 00:09:11,708 --> 00:09:15,375 One of which is, obviously, when you're just starting a case to be 181 00:09:15,375 --> 00:09:16,666 able to pull it all together, 182 00:09:17,041 --> 00:09:17,750 or when you want to 183 00:09:17,750 --> 00:09:19,458 communicate that to the client and you want to pull 184 00:09:19,458 --> 00:09:21,583 some of this information together for the client, 185 00:09:21,583 --> 00:09:24,625 or when you're having new folks, new colleagues come and join 186 00:09:24,625 --> 00:09:27,625 in, they need to ramp up quickly on the case and understand everything. 187 00:09:28,000 --> 00:09:31,000 But it's also helpful for others 188 00:09:31,000 --> 00:09:34,333 when they're thinking about evaluating a case in general for, 189 00:09:34,500 --> 00:09:36,541 you know, whether to take certain cases 190 00:09:36,541 --> 00:09:38,625 or what are going to be, 191 00:09:38,625 --> 00:09:41,375 you know, the, the obstacles in a particular case 192 00:09:41,375 --> 00:09:43,250 and knowing those quickly upfront. 193 00:09:43,250 --> 00:09:47,666 And so we really try and make the this incredible thorough 194 00:09:47,750 --> 00:09:50,791 evaluate option that gives both strategic 195 00:09:50,791 --> 00:09:53,791 and tactical information based on similar cases. 196 00:09:54,500 --> 00:09:55,125 Yeah. 197 00:09:55,125 --> 00:09:57,708 So really becomes like a playbook for the case. 198 00:09:57,708 --> 00:10:01,458 And I this is this is a podcast. 199 00:10:01,458 --> 00:10:04,291 But I would encourage listeners or watchers 200 00:10:04,291 --> 00:10:08,250 even to go to your website, go to I wrote a blog post about this. 201 00:10:08,250 --> 00:10:10,458 It's really it's really quite cool. I have to say. 202 00:10:10,458 --> 00:10:12,916 You said, you said that your customers find 203 00:10:12,916 --> 00:10:15,916 this is one of the most interesting or one of the most intriguing features. 204 00:10:16,208 --> 00:10:18,916 I also thought it was really, really cool. 205 00:10:18,916 --> 00:10:22,875 And, it's it's a highly detailed, outline of the case. 206 00:10:22,875 --> 00:10:23,458 And then, 207 00:10:24,500 --> 00:10:25,791 as I understand it, 208 00:10:25,791 --> 00:10:28,666 as the case progresses, you can continue to update 209 00:10:28,666 --> 00:10:32,541 this with additional documents and additional information and continue 210 00:10:32,541 --> 00:10:36,458 to refine the the entire case assessment as you go forward. 211 00:10:36,458 --> 00:10:38,458 Right? That's correct. Absolutely. 212 00:10:38,458 --> 00:10:39,791 And I would say for that, 213 00:10:39,791 --> 00:10:43,458 one of the things that we've worked with some of our customers, you know, we 214 00:10:43,666 --> 00:10:46,708 how do we get attorneys the right information at the right time. 215 00:10:46,708 --> 00:10:50,375 And what we're doing with some of our law firms is creating 216 00:10:50,375 --> 00:10:53,541 workflows where they get the attorneys. 217 00:10:53,541 --> 00:10:55,583 Sometimes with the dinger system, it doesn't matter 218 00:10:55,583 --> 00:10:59,416 which dinger system you use or which court alerting service you use, but 219 00:10:59,750 --> 00:11:03,583 being able to have the case assessment right there with the new case 220 00:11:03,583 --> 00:11:06,916 that you're identifying or giving the attorneys the 221 00:11:06,916 --> 00:11:10,791 this information directly in their inbox when the case gets assigned to them, 222 00:11:11,000 --> 00:11:14,291 without them even having to go on to Trellis and to request it. 223 00:11:14,583 --> 00:11:17,833 But we work with firms to do that and create those automated workflows as well. 224 00:11:19,083 --> 00:11:22,083 So we've been talking about these kind of case level tools. 225 00:11:22,125 --> 00:11:26,625 In addition, this roll out of Trellis AI includes documents specific 226 00:11:26,625 --> 00:11:27,541 or I think, as you've called 227 00:11:27,541 --> 00:11:30,541 them, on document tools when we've talked about it before. 228 00:11:30,583 --> 00:11:33,500 Can you describe what those kinds of tools are? 229 00:11:33,500 --> 00:11:34,291 Absolutely. 230 00:11:34,291 --> 00:11:38,625 So if you think about the vast database that Trellis has, we obviously have 231 00:11:38,625 --> 00:11:43,375 these hundreds of millions of motions and complaints and filings and, 232 00:11:44,416 --> 00:11:48,208 we are able to do a variety of tasks on all of our documents. 233 00:11:48,208 --> 00:11:50,625 So if you need to create a timeline, if you need to create a timeline 234 00:11:50,625 --> 00:11:53,833 off of multiple documents, all part of a case deposition 235 00:11:53,833 --> 00:11:57,416 in information and, what have you create timelines from there. 236 00:11:57,625 --> 00:12:01,750 If you need obviously to summarize or extract information to extract the case 237 00:12:01,750 --> 00:12:05,208 law that's been cited to you so that you can then research that, 238 00:12:05,833 --> 00:12:06,791 there's so many different, tools that you can use. 239 00:12:06,791 --> 00:12:08,500 there's so many different, tools that you can use. 240 00:12:08,500 --> 00:12:09,208 You can, analyze arguments. 241 00:12:09,208 --> 00:12:10,458 You can, analyze arguments. 242 00:12:10,458 --> 00:12:12,083 What are the main arguments that they're making? 243 00:12:12,083 --> 00:12:14,208 What are they using to support that? What are the facts? 244 00:12:14,208 --> 00:12:18,666 They're supporting that with all the way to, what are, affirmative 245 00:12:18,666 --> 00:12:19,208 They're supporting that with all the way to, what are, affirmative 246 00:12:19,208 --> 00:12:22,333 and OAD offenses that could be used based on, 247 00:12:22,833 --> 00:12:24,708 what we've seen in the, 248 00:12:24,708 --> 00:12:25,625 millions of other, cases that have had similar issues. 249 00:12:25,625 --> 00:12:27,875 millions of other, cases that have had similar issues. 250 00:12:27,875 --> 00:12:30,041 So there are a lot of different document tools like, 251 00:12:30,041 --> 00:12:32,333 but those are those are some of the highlights. 252 00:12:32,333 --> 00:12:34,416 Yeah. But I mean, it's again, just to, 253 00:12:36,041 --> 00:12:37,000 go a little deeper into that. 254 00:12:37,000 --> 00:12:40,291 I mean, you can take a complaint tool, you can take a complaint and analyze 255 00:12:40,291 --> 00:12:44,250 the complaint, and it's going to tell you, not just the causes of action. 256 00:12:44,250 --> 00:12:47,250 Now, it's not just what's in the complaint, but what's needed 257 00:12:47,333 --> 00:12:50,333 to kind of prove the allegations of the complainant and what facts may be, 258 00:12:50,458 --> 00:12:52,916 what facts are alleged in the complaint, and maybe strengths 259 00:12:52,916 --> 00:12:54,791 and weaknesses of the facts as they're alleged. 260 00:12:54,791 --> 00:12:57,416 So it really goes beyond simply this is not just a summary. 261 00:12:57,416 --> 00:13:00,208 In other words, this is a real kind of analysis of a document. 262 00:13:00,208 --> 00:13:01,125 Is that fair to say? 263 00:13:01,125 --> 00:13:04,125 That's absolutely true. Yeah. Yeah. 264 00:13:04,291 --> 00:13:07,000 And and the, 265 00:13:07,000 --> 00:13:09,458 the, the documents that you can apply 266 00:13:09,458 --> 00:13:12,583 these tools to really can be any document. 267 00:13:12,583 --> 00:13:14,791 They don't have to be something that was already in 268 00:13:15,916 --> 00:13:18,416 on Trellis that was came out of a docket on trolleys. 269 00:13:18,416 --> 00:13:20,083 If a lawyer wants to upload a document 270 00:13:20,083 --> 00:13:22,166 or something else, they can do that as well, right? 271 00:13:22,166 --> 00:13:23,458 Yes, absolutely. 272 00:13:23,458 --> 00:13:26,375 So we obviously because of our database, have, 273 00:13:26,416 --> 00:13:29,833 hundreds of millions of documents, you may not even need to upload yours. 274 00:13:29,833 --> 00:13:33,583 But the good news is that you can upload any document and 275 00:13:33,583 --> 00:13:37,708 we can perform the same tools that we do on a document that you've uploaded. 276 00:13:38,166 --> 00:13:42,250 So really trying to make this great if the data is already on Trellis, 277 00:13:42,250 --> 00:13:43,625 but if it's not, don't worry. 278 00:13:43,625 --> 00:13:47,625 All of the our same, document tools can work on any document that you upload. 279 00:13:48,250 --> 00:13:49,958 Right. 280 00:13:49,958 --> 00:13:53,166 Now, I believe it's still the case when we talked last, 281 00:13:53,458 --> 00:13:57,750 about this product, this was available for California cases. 282 00:13:57,750 --> 00:14:01,125 The case assessment tools are available for California at this point. 283 00:14:01,125 --> 00:14:02,666 Right? And then will be expanded? 284 00:14:02,666 --> 00:14:06,000 Case assessment is actually available across the nation for okay okay. 285 00:14:06,125 --> 00:14:10,916 The motion drafting summary judgment motion drafting is currently California 286 00:14:11,500 --> 00:14:11,958 okay. 287 00:14:11,958 --> 00:14:14,250 And you plan to expand that at some point into other. 288 00:14:14,250 --> 00:14:15,000 Absolutely. 289 00:14:15,000 --> 00:14:18,000 We're we're actively working on expanding right now. 290 00:14:18,166 --> 00:14:18,500 Yeah. 291 00:14:19,666 --> 00:14:22,000 What else would you like listeners to know about Trellis? 292 00:14:22,000 --> 00:14:24,375 I that we haven't talked about. 293 00:14:24,375 --> 00:14:24,458 What I, what I would say is one of the things obviously, our data 294 00:14:24,458 --> 00:14:27,458 What I, what I would say is one of the things obviously, our data 295 00:14:27,458 --> 00:14:30,708 and or the foundation really, truly differentiates us. 296 00:14:30,708 --> 00:14:34,500 But another thing that really differentiates us is that we aren't 297 00:14:34,500 --> 00:14:38,875 a chat platform, as many of the tools that are out there are. 298 00:14:39,000 --> 00:14:43,583 We really looked at it very differently and we said, well, why? 299 00:14:43,625 --> 00:14:46,208 Why are attorneys chatting? What are they trying to accomplish? 300 00:14:46,208 --> 00:14:49,500 And generally they're trying to accomplish some sort of work product they want to 301 00:14:49,666 --> 00:14:53,750 they have to then take whatever is in the chat and turn that into a memo 302 00:14:53,750 --> 00:14:55,916 they feel comfortable with, or, turn it into, motion. 303 00:14:55,916 --> 00:14:57,541 they feel comfortable with, or, turn it into, motion. 304 00:14:57,708 --> 00:15:01,791 What we wanted to say was, let's not assign the attorneys homework. 305 00:15:01,791 --> 00:15:04,666 Let's create the draft work product for them. 306 00:15:04,666 --> 00:15:07,000 So we are one click solutions. 307 00:15:07,333 --> 00:15:10,000 Any drafting, any generative capabilities. 308 00:15:10,166 --> 00:15:13,166 You click the basically the the task, 309 00:15:13,166 --> 00:15:16,166 the out outcome, what you are trying to create. 310 00:15:16,208 --> 00:15:18,875 And from there we create it for you. 311 00:15:18,875 --> 00:15:20,625 You don't have to be a product engineer. 312 00:15:20,625 --> 00:15:25,291 We've worked in credibly hard, thousands and thousands and thousands of hours 313 00:15:25,791 --> 00:15:28,416 of our attorney analysts, reviewing 314 00:15:28,416 --> 00:15:31,458 with accuracy and tweaking and working with our engineers. 315 00:15:31,500 --> 00:15:34,500 And so, we wanted to take that work, 316 00:15:34,500 --> 00:15:38,000 the work of trying to make sure you have the absolute best prompt. 317 00:15:38,000 --> 00:15:39,250 Leave that to us, trying to make sure that the results are accurate. 318 00:15:39,250 --> 00:15:41,416 Leave that to us, trying to make sure that the results are accurate. 319 00:15:41,416 --> 00:15:43,916 Leave that to us. We've done a lot of testing. 320 00:15:43,916 --> 00:15:46,791 You click a button and create the draft work product 321 00:15:46,791 --> 00:15:51,541 that you want to work with, and you're off to the races from there. 322 00:15:52,958 --> 00:15:53,166 Yeah. 323 00:15:53,166 --> 00:15:57,041 So instead of having to, formulate a prompt and then continue to, 324 00:15:57,375 --> 00:16:00,166 come up with follow up prompts to try and get it to where you want it 325 00:16:00,166 --> 00:16:03,166 to be, you click a button and it does what you want. 326 00:16:03,250 --> 00:16:04,208 That is correct. 327 00:16:04,208 --> 00:16:07,958 And with many of those follow up prompts that you would need to do to try to get to 328 00:16:07,958 --> 00:16:08,583 where you are, 329 00:16:08,583 --> 00:16:12,750 we've done a lot of that work on the back end, so we have multiple chains going on. 330 00:16:12,791 --> 00:16:16,083 There's a lot of work that goes into what's the final outcome 331 00:16:16,083 --> 00:16:18,041 that the attorneys see. 332 00:16:18,083 --> 00:16:21,083 And so we, we want to make it where it's, it's, 333 00:16:21,125 --> 00:16:25,208 less up to how great a prompter, you might be. 334 00:16:25,416 --> 00:16:28,416 And more up to how do we, as a company 335 00:16:28,583 --> 00:16:33,125 deliver the best results in the most simple way to our users? Yep. 336 00:16:34,208 --> 00:16:37,583 What's the best way for users to find out more about Trellis? 337 00:16:37,583 --> 00:16:38,916 I absolutely. 338 00:16:38,916 --> 00:16:42,625 You can go on to Trellis dot law and, request info, book a demo. 339 00:16:42,625 --> 00:16:44,416 You can go on to Trellis dot law and, request info, book a demo. 340 00:16:44,416 --> 00:16:45,708 We are here to help. 341 00:16:45,708 --> 00:16:47,708 You can also reach out directly. 342 00:16:47,708 --> 00:16:48,750 To me I'm on LinkedIn. 343 00:16:48,750 --> 00:16:51,750 Nicole. Underscore a underscore. Clarke. 344 00:16:51,958 --> 00:16:54,958 Or you can reach out to sales at Trellis dot law 345 00:16:55,666 --> 00:16:57,583 Well, congratulations on this launch. 346 00:16:57,583 --> 00:17:00,166 As I as I mentioned, I've seen a demo of it. 347 00:17:00,166 --> 00:17:01,250 I've written about it on my blog. 348 00:17:01,250 --> 00:17:03,250 And I think it's really, really cool what you've got here. 349 00:17:03,250 --> 00:17:08,250 So, congratulations and thanks for coming on the show today to talk about it. 350 00:17:08,750 --> 00:17:10,666 Absolutely. Thanks for having me, Bob.