Announcing the Launch of NeosAI

Assembly Software announces the launch of its groundbreaking AI-powered features integrated directly into its legendary Neos case management platform, promising to transform the way legal professionals operate and streamline their daily tasks. NeosAI is designed to enhance efficiency, streamline processes, and elevate productivity by embedding AI technology directly into Neos workflows. Unlike other AI products that disrupt workflow by requiring users to switch between platforms, NeosAI seamlessly integrates within Neos, empowering users to leverage AI capabilities without interrupting their workflow.

Transcript:

00:00:06,750 --> 00:00:10,541 Welcome to LawNext PR, the podcast where we put a spotlight on the latest news

00:00:10,541 --> 00:00:12,708 coming out of the legal tech industry.

00:00:13,166 --> 00:00:18,375 This is Bob Ambrogi and in each sponsored episode of LawNext PR, I interview a

4 00:00:18,375 --> 00:00:22,875 legal tech company about its just released news or latest developments.

5 00:00:23,083 --> 00:00:27,708 Today we're discussing Neos AI, just launched by Assembly Software.

6 00:00:27,708 --> 00:00:32,166 And joining me to tell us about the news is the CEO of Assembly Software, Daniel

7 00:00:32,166 --> 00:00:33,083 Farrar.

8 00:00:33,083 --> 00:00:34,666 Daniel, welcome to the show.

9 00:00:34,875 --> 00:00:36,083 Thanks, Bob.

10 00:00:36,083 --> 00:00:37,625 Delighted to be here.

11 00:00:38,000 --> 00:00:38,750 Great to have you.

12 00:00:39,000 --> 00:00:42,916 First of all, just because maybe not everybody who's listening to the show

13 00:00:42,916 --> 00:00:46,333 knows exactly what assembly software is and what NEO is.

14 00:00:46,333 --> 00:00:46,958 So maybe you can use a nutshell intro to the company and the product.

15 00:00:46,958 --> 00:00:50,208 So maybe you can use a nutshell intro to the company and the product.

16 00:00:50,583 --> 00:00:51,791 Sure, sure, sure.

17 00:00:51,791 --> 00:00:53,083 That makes a lot of sense.

18 00:00:53,083 --> 00:00:55,333 You know, if you go back to our humble beginnings, assembly is the combination of

19 00:00:55,333 --> 00:00:57,375 You know, if you go back to our humble beginnings, assembly is the combination of

20 00:00:57,375 --> 00:00:59,458 two long -standing case management and practice management software companies,

21 00:00:59,458 --> 00:01:02,375 two long -standing case management and practice management software companies,

22 00:01:02,375 --> 00:01:05,250 that being Needles and TrialWorks.

23 00:01:05,250 --> 00:01:10,708 Needles originally offered up a product called Pins, which was a personal injury

24 00:01:10,708 --> 00:01:13,250 negligence system back in 1985.

25 00:01:13,250 --> 00:01:16,416 And then it became Needles, and then in...

26 00:01:16,416 --> 00:01:21,625 Around 2017, Ridge Road Partners came in and put Needles and Trial Works together,

27 00:01:21,625 --> 00:01:28,583 creating, you know, arguably the largest install base of users by a relative market

28 00:01:28,583 --> 00:01:30,000 share of 2X.

29 00:01:30,000 --> 00:01:36,750 The products that Assembly offers have led the industry in case management technology

30 00:01:36,750 --> 00:01:42,583 and have continued to adapt to emerging trends and driving innovation.

31 00:01:42,708 --> 00:01:45,666 The Assembly technology platform,

32 00:01:45,666 --> 00:01:47,458 powers all three of our products.

33 00:01:47,458 --> 00:01:50,000 That would be Needles, TrialWorks, and Neos.

34 00:01:50,000 --> 00:01:52,875 Neos is our flagship cloud product.

35 00:01:53,208 --> 00:02:00,666 And we have been systematically migrating all of our install -based users on Needles

36 00:02:00,666 --> 00:02:06,958 and TrialWorks to a Neos solution in the cloud, which has a lot more capabilities.

37 00:02:07,000 --> 00:02:09,833 So it's been leading the charge and leading the change.

38 00:02:09,833 --> 00:02:13,125 Neos has been just a...

39 00:02:13,125 --> 00:02:18,500 absolute home run in an industry that has, you know, growing right now.

40 00:02:18,500 --> 00:02:19,791 You can peg the U.S.

41 00:02:19,791 --> 00:02:24,375 market at about seven to 10 billion in size, growing at about 6%.

42 00:02:24,375 --> 00:02:28,458 Neos is clipping at over 60 % growth.

43 00:02:28,500 --> 00:02:35,125 And of all things, we're coming up on 40 years of experience in case management in

44 00:02:35,125 --> 00:02:35,958 2025.

45 00:02:35,958 --> 00:02:42,333 So if you add in needles and trial works together, we'll have 40 years serving the

46 00:02:42,333 --> 00:02:44,166 legal and legal tech industry.

47 00:02:44,166 --> 00:02:48,333 Now with Neos, it is our industry leading SaaS solution.

48 00:02:48,333 --> 00:02:51,583 And there's a lot of things that we've done differently to make that the product

49 00:02:51,583 --> 00:02:53,791 And there's a lot of things that we've done differently to make that the product

50 00:02:53,791 --> 00:02:55,750 of choice for law firms.

51 00:02:55,750 --> 00:02:58,000 And I'm sure we'll talk about that.

52 00:02:58,208 --> 00:03:03,500 But it's especially good in PI, insurance, defense, mass torts, public sector.

53 00:03:03,500 --> 00:03:08,041 And a little bit of bragging rights, if I can take some time on that one, Bob.

54 00:03:08,583 --> 00:03:13,750 We recently won the number one spot in the G2 Momentum Report ahead of Cleo,

55 00:03:13,750 --> 00:03:15,541 Filevine, and a number of others for Neos.

56 00:03:15,541 --> 00:03:17,000 Filevine, and a number of others for Neos.

57 00:03:17,208 --> 00:03:23,000 Our NPS score is well above average, kind of on a three month running basis at about

58 00:03:23,000 --> 00:03:26,916 78, with 97 % customer satisfaction.

59 00:03:26,916 --> 00:03:31,041 And we won the Legal Tech Breakthrough Award two years in a row for innovation.

60 00:03:31,041 --> 00:03:34,875 We're a leader in both Gartner and the G2 Quadrants quarter over a quarter.

61 00:03:34,958 --> 00:03:39,458 The product is just, you know, it's a natural extension of our technology

62 00:03:39,458 --> 00:03:44,250 platform and it has been designed for ease of use in the integration through

63 00:03:44,250 --> 00:03:47,208 microservices built on Microsoft and workflow integrations which, you know, are

64 00:03:47,208 --> 00:03:50,333 microservices built on Microsoft and workflow integrations which, you know, are

65 00:03:50,333 --> 00:03:54,666 required in any law firm's day -to -day case management operations.

66 00:03:54,750 --> 00:04:01,083 Right, well speaking of innovation, as we are speaking, you've just launched Neos

67 00:04:01,083 --> 00:04:06,625 AI, so tell us more about what it is you've just launched and what it means for

68 00:04:06,625 --> 00:04:07,958 legal professionals.

69 00:04:08,250 --> 00:04:13,916 Yeah, I think what's really important is to just go back before we go forward.

70 00:04:14,125 --> 00:04:19,291 You know, one of the things that we did at Assembly that I think has really changed

71 00:04:19,291 --> 00:04:23,583 the game for the company is we have an integrated voice of the customer.

72 00:04:23,583 --> 00:04:24,916 Now, what does that mean?

73 00:04:24,916 --> 00:04:30,750 That means we take all of our support tickets, we take all of our CSAT scoring.

74 00:04:30,791 --> 00:04:35,250 We take all of our customer effort, all of our customer health scores, we take all

75 00:04:35,250 --> 00:04:41,791 the input from our customer advisory boards, and a variety of beta inputs.

76 00:04:41,958 --> 00:04:47,958 And that allows customers to have a real voice in how the product gets shaped.

77 00:04:48,041 --> 00:04:53,000 So when we talk about Neos AI, one of the things that's been, I think, a huge

78 00:04:53,000 --> 00:04:53,958 So when we talk about Neos AI, one of the things that's been, I think, a huge

79 00:04:53,958 --> 00:04:59,083 differentiator, and why I think it's gonna be just a home run for the industry.

80 00:04:59,208 --> 00:05:06,083 is we launched a beta program with over 60 firms participating in the usage and

81 00:05:06,083 --> 00:05:09,000 definition of what Neos AI should be.

82 00:05:09,000 --> 00:05:13,125 It's been running for over nine months now, and it's been all IVOC, integrated

83 00:05:13,125 --> 00:05:14,541 It's been running for over nine months now, and it's been all IVOC, integrated

84 00:05:14,541 --> 00:05:19,083 voice of the customer, and product led as we've innovated the product.

85 00:05:19,083 --> 00:05:22,125 And we've focused on what actually matters for firms.

86 00:05:22,125 --> 00:05:23,833 We let them tell us.

87 00:05:23,833 --> 00:05:27,250 And the things that really became surfaced.

88 00:05:27,250 --> 00:05:33,916 out of AI for most law firms of all sizes was save me time and help me be more

89 00:05:33,916 --> 00:05:34,500 efficient.

90 00:05:34,708 --> 00:05:38,750 The purpose and user -driven implementation on a real -world basis for

91 00:05:38,750 --> 00:05:44,916 their cases and their user input shaped and defined the delivery of our roadmap.

92 00:05:44,916 --> 00:05:49,833 So the evolution of NeosAI, you know, we started thinking that it was going to be

93 00:05:49,833 --> 00:05:54,541 document generation, demand letters and other types, field generation.

94 00:05:54,791 --> 00:06:00,041 We then moved into conversations with the customer base about document summaries so

95 00:06:00,041 --> 00:06:03,000 users could quickly get a synopsis of the content, the files and storage, the

96 00:06:03,000 --> 00:06:05,291 users could quickly get a synopsis of the content, the files and storage, the

97 00:06:05,291 --> 00:06:10,666 summary directly into Neos so it can be searched and reported on.

98 00:06:10,708 --> 00:06:14,916 And then we expanded it to document extraction with a focus on processing the

99 00:06:14,916 --> 00:06:18,958 thing that matters most to a lot of PI firms and insurance defense, which is

100 00:06:18,958 --> 00:06:22,666 medical records, extractions, reporting on the key data.

101 00:06:22,666 --> 00:06:25,000 and doing summary chronologies.

102 00:06:25,000 --> 00:06:30,500 So the key features in Gen 1, and I will say this Bob, we took a multi -generation

103 00:06:30,500 --> 00:06:32,416 approach to AI.

104 00:06:32,416 --> 00:06:38,583 We've begun Generation 1, which is being announced in June, June 5th.

105 00:06:38,583 --> 00:06:42,333 And then we're gonna have a second generation that comes out that's gonna be

106 00:06:42,333 --> 00:06:44,875 building on that as we move forward.

107 00:06:44,958 --> 00:06:50,708 But it's gonna first and foremost be inclusive of AI document summaries.

108 00:06:50,708 --> 00:06:55,333 which will create, you can generate document summaries in seconds.

109 00:06:55,333 --> 00:06:59,916 You'll eliminate the need for manual summarization and it will provide

110 00:06:59,916 --> 00:07:04,791 immediate insights into document content without ever having to open the file.

111 00:07:04,958 --> 00:07:08,083 Then there'll be AI document generation.

112 00:07:08,083 --> 00:07:13,916 So you'll be able to automate document creation using Neos data, allowing for

113 00:07:13,916 --> 00:07:18,916 easy customization, previewing, validation before you ever have to download.

114 00:07:19,083 --> 00:07:23,791 And then you'll be able to do all of your documentation, AI documentation extraction

115 00:07:23,791 --> 00:07:27,041 in your summaries through automatically extracting key data from uploaded

116 00:07:27,041 --> 00:07:28,541 in your summaries through automatically extracting key data from uploaded

117 00:07:28,541 --> 00:07:32,666 documents, streamlining the data entry process and ensuring the accuracy of the

118 00:07:32,666 --> 00:07:33,916 data input.

119 00:07:34,291 --> 00:07:39,500 So, you know, I think one of the things that's really important to know is it's

120 00:07:39,500 --> 00:07:40,291 So, you know, I think one of the things that's really important to know is it's

121 00:07:40,291 --> 00:07:44,791 gonna, one of the things that we focused on was how much time can we save you?

122 00:07:44,791 --> 00:07:46,000 And,

123 00:07:46,041 --> 00:07:48,208 That was really important to law firms.

124 00:07:48,208 --> 00:07:53,291 They told us firsthand, save me time, save me, get me more efficient.

125 00:07:53,541 --> 00:07:56,541 And with our Neos AI powered documentation summaries, we believe that now that we've

126 00:07:56,541 --> 00:08:01,000 And with our Neos AI powered documentation summaries, we believe that now that we've

127 00:08:01,000 --> 00:08:05,625 seen it and we've put it into action with a number of different test cases, that's

128 00:08:05,625 --> 00:08:12,333 gonna save your firm up to 10 hours per case in just doing automated summarization

129 00:08:12,333 --> 00:08:13,333 capabilities.

130 00:08:13,333 --> 00:08:14,333 So you're gonna...

131 00:08:14,333 --> 00:08:18,541 you're going to be able to do cases faster, and you're going to be able to

132 00:08:18,541 --> 00:08:25,125 save money as you do it on the cost side of the equation that frees up capacity to

133 00:08:25,125 --> 00:08:27,625 apply to other elements of the case.

134 00:08:27,625 --> 00:08:34,333 With AI -powered documentation generation, we'll be able to transform document

135 00:08:34,333 --> 00:08:39,208 creation by automating research and repetitive drafting, which boosts your

136 00:08:39,208 --> 00:08:42,708 efficiency, and it ensures a consistency to it.

137 00:08:42,708 --> 00:08:45,208 That's going to save you up to six hours per case.

138 00:08:45,416 --> 00:08:50,875 With the AI -powered extraction, that will streamline your data.

139 00:08:50,875 --> 00:08:55,666 It will ensure accuracy by automating the extraction of the key details of any

140 00:08:55,666 --> 00:08:59,041 document, and will save you 20 hours per case.

141 00:08:59,208 --> 00:09:06,791 And for the AI -powered dynamic forms, Neos AI -adaptable form solutions allows

142 00:09:06,791 --> 00:09:08,916 you to, your firm,

143 00:09:09,291 --> 00:09:14,291 to customize and streamline critical processes and enhancing the productivity

144 00:09:14,291 --> 00:09:19,375 and control while providing the firm the opportunity to be the final approver of

145 00:09:19,375 --> 00:09:22,916 all of its outbound documentations to any of their clients.

146 00:09:22,916 --> 00:09:27,791 I think one of the things that's really critical when you think about AI,

147 00:09:28,000 --> 00:09:32,041 especially in legal, there's been a lot of misstarts here.

148 00:09:32,333 --> 00:09:36,083 We've seen a lot of people get out into market quickly.

149 00:09:36,083 --> 00:09:41,083 and then they wanted to be first, they wanted to get the big valuations, but

150 00:09:41,083 --> 00:09:45,583 their AI solutions weren't really all that well thought out.

151 00:09:45,583 --> 00:09:50,125 And I'm not gonna name any names, but a lot of them are, you know, it's an AI

152 00:09:50,125 --> 00:09:51,416 And I'm not gonna name any names, but a lot of them are, you know, it's an AI

153 00:09:51,416 --> 00:09:56,833 solution where they do the documentation generation, they'll do field generation,

154 00:09:56,833 --> 00:10:00,875 but then they'll collect that information back, it comes into a central repository,

155 00:10:00,875 --> 00:10:02,958 and then they ship it overseas.

156 00:10:02,958 --> 00:10:08,166 to have a one week cycle time to check that work with human intervention.

157 00:10:08,166 --> 00:10:09,625 That's not AI.

158 00:10:09,625 --> 00:10:11,500 That's a BPO.

159 00:10:11,500 --> 00:10:15,500 And by the way, those two things are actually in conflict with each other when

160 00:10:15,500 --> 00:10:17,333 you think about trying to scale that.

161 00:10:17,333 --> 00:10:23,250 If you're doing 10 ,000 demand generations and you have 50 people checking that work,

162 00:10:23,250 --> 00:10:26,500 what happens when it goes up to 100 ,000?

163 00:10:26,500 --> 00:10:30,000 How many more people do you need on the other end to check the work?

164 00:10:30,000 --> 00:10:31,166 It's just...

165 00:10:31,166 --> 00:10:32,875 That is not AI to us.

166 00:10:32,875 --> 00:10:39,291 When you're a Neos AI, it's powered by Microsoft's ecosystem and open AI

167 00:10:39,291 --> 00:10:40,666 technology.

168 00:10:40,666 --> 00:10:46,666 And by the way, it is completely embedded into the Neos workflow solution.

169 00:10:46,666 --> 00:10:49,083 You never have to leave the system.

170 00:10:49,083 --> 00:10:54,291 So it seamlessly accelerates your productivity with your existing workflows.

171 00:10:54,291 --> 00:10:55,708 You never have to leave.

172 00:10:55,708 --> 00:10:58,083 You can toggle in, toggle out as you use it.

173 00:10:58,083 --> 00:11:00,750 And it gives you a chance to save the time.

174 00:11:00,750 --> 00:11:05,416 create the capacity you need so that you can then go back and check the work, check

175 00:11:05,416 --> 00:11:09,708 your facts, check the sentiment, and make sure it's the way you want to have it

176 00:11:09,708 --> 00:11:12,375 presented as you begin shaping your case work.

177 00:11:12,541 --> 00:11:12,625 Yeah.

178 00:11:12,625 --> 00:11:14,166 Daniel, what about security?

179 00:11:14,166 --> 00:11:17,041 I mean, obviously that's been a huge concern among law firms when they're

180 00:11:17,041 --> 00:11:20,083 thinking about deploying AI in any way.

181 00:11:20,083 --> 00:11:25,041 So what are you doing to ensure that client data is protected when your

182 00:11:25,041 --> 00:11:26,958 customers are using AI?

183 00:11:27,208 --> 00:11:32,500 Yep, so we take a net, what we call zero net retention policy.

184 00:11:32,500 --> 00:11:33,375 Yep, so we take a net, what we call zero net retention policy.

185 00:11:33,666 --> 00:11:39,583 Neos AI not only boosts the efficiency, but it prioritizes data security utilizing

186 00:11:39,583 --> 00:11:43,125 AI models provided by Microsoft and Azure AI.

187 00:11:43,125 --> 00:11:48,541 So we utilize their microservices with a zero net data retention policy.

188 00:11:48,541 --> 00:11:56,166 And this policy aligns with global data privacy regulations such as GDPR and CCPA.

189 00:11:56,166 --> 00:12:01,708 ensuring compliance and protecting all sensitive information as required.

190 00:12:01,875 --> 00:12:04,875 So we've got that button down pretty hard.

191 00:12:04,875 --> 00:12:12,291 We took a very zero tolerance policy on confidentiality and security.

192 00:12:12,833 --> 00:12:16,208 So I'm wondering if I can just kind of ask you the bigger picture question because as

193 00:12:16,208 --> 00:12:19,333 you say, you've got, you know, you not personally, but you, your company has 40

194 00:12:19,333 --> 00:12:22,458 years of experience in this space.

195 00:12:22,458 --> 00:12:26,875 This is still an emerging and evolving technology.

196 00:12:26,875 --> 00:12:29,583 What do you think it ultimately means for law practice?

197 00:12:29,583 --> 00:12:33,250 What do you think generative AI and these new AI technologies ultimately mean for

198 00:12:33,250 --> 00:12:34,666 practicing lawyers?

199 00:12:34,833 --> 00:12:36,958 I think, you know, it's interesting, Bob.

200 00:12:36,958 --> 00:12:44,166 It's a fantastic question to posit because I think when you think about the ways law

201 00:12:44,166 --> 00:12:51,000 firms, lawyers in general, have to do their work, there is just an immense

202 00:12:51,000 --> 00:12:57,708 amount of reading, fact checking, data collection, processing, and it's this

203 00:12:57,708 --> 00:13:01,250 repetitive cycle that you have to continue to go through to make sure you've got

204 00:13:01,250 --> 00:13:04,250 everything required and necessary to

205 00:13:04,250 --> 00:13:05,666 to improve your case.

206 00:13:05,666 --> 00:13:05,708 to improve your case.

207 00:13:06,083 --> 00:13:12,125 And when you think about AI, what could be a better solution for you?

208 00:13:12,125 --> 00:13:15,250 You know, when you are working with a perfect data set, now what do I mean by

209 00:13:15,250 --> 00:13:17,833 You know, when you are working with a perfect data set, now what do I mean by

210 00:13:17,833 --> 00:13:18,458 perfect?

211 00:13:18,458 --> 00:13:24,083 Let's say you have all the correct facts that you are asking your AI to work

212 00:13:24,083 --> 00:13:25,083 Let's say you have all the correct facts that you are asking your AI to work

213 00:13:25,083 --> 00:13:25,833 Let's say you have all the correct facts that you are asking your AI to work

214 00:13:25,833 --> 00:13:26,583 within.

215 00:13:26,583 --> 00:13:28,333 If the facts are correct,

216 00:13:28,666 --> 00:13:34,333 and the information is correct, the regression or the R squared on that is

217 00:13:34,333 --> 00:13:39,500 gonna be one It's gonna be great and AI is gonna serve you very well.

218 00:13:39,500 --> 00:13:44,541 When you ask AI to take data and then interpret it and it gets outside of

219 00:13:44,541 --> 00:13:46,583 When you ask AI to take data and then interpret it and it gets outside of

220 00:13:46,583 --> 00:13:51,375 factual content, that it doesn't know whether it's accurate or inaccurate,

221 00:13:51,375 --> 00:13:55,416 because you haven't vetted it, your R squared drops to probably about .

222 00:13:55,416 --> 00:14:00,708 And when you ask it to be creative, now you're talking about who the hell knows

223 00:14:00,708 --> 00:14:03,500 what you're going to get for a response from AI.

224 00:14:03,500 --> 00:14:05,625 It's probably going to go to zero.

225 00:14:05,625 --> 00:14:11,958 But I think as we look ahead, we're going to continue to work with firms to collect

226 00:14:11,958 --> 00:14:15,791 and learn more about use cases and productivity and automation.

227 00:14:15,791 --> 00:14:18,666 That's where this really begins.

228 00:14:18,666 --> 00:14:22,458 Law firms are going to define how to use AI.

229 00:14:22,458 --> 00:14:24,416 And they were...

230 00:14:24,458 --> 00:14:29,458 I will say this, I think law firms in general, whether they are one lawyer or

231 00:14:29,458 --> 00:14:33,750 all the way up to AmLaw 100, have been a little slow to adopt the cloud.

232 00:14:33,750 --> 00:14:36,791 That curve has now, we've gotten past that.

233 00:14:36,791 --> 00:14:37,958 I think they're gonna take a slightly slower approach with AI.

234 00:14:37,958 --> 00:14:41,125 I think they're gonna take a slightly slower approach with AI.

235 00:14:41,125 --> 00:14:43,416 They're gonna wanna be spoon fed.

236 00:14:43,541 --> 00:14:45,208 But when they've had a voice in shaping it, I think the adoption and the usership

237 00:14:45,208 --> 00:14:50,666 But when they've had a voice in shaping it, I think the adoption and the usership

238 00:14:50,666 --> 00:14:52,916 for it will go up dramatically.

239 00:14:52,916 --> 00:14:57,958 So we're gonna spend some more time with NeosAI to the extent of developing carve

240 00:14:57,958 --> 00:15:02,208 -out teams that represent specific case expertise.

241 00:15:02,208 --> 00:15:07,875 We'll work on the expansion of AI -driven workflows that create smart automation and

242 00:15:07,875 --> 00:15:10,041 improve productivity for law firms.

243 00:15:10,041 --> 00:15:17,041 We'll look at how we can use advanced analytics in combination with NeosAI data.

244 00:15:17,083 --> 00:15:21,208 that results from improved user experiences, that the data represents a

245 00:15:21,208 --> 00:15:26,333 functional evolution of the information that they'd previously been working with.

246 00:15:26,333 --> 00:15:31,666 We'll look at creating probably dynamically generated forms from documents

247 00:15:31,666 --> 00:15:32,583 We'll look at creating probably dynamically generated forms from documents

248 00:15:32,583 --> 00:15:39,875 that automatically could recognize key value pairs or store data directly into

249 00:15:39,875 --> 00:15:40,583 Neos.

250 00:15:40,666 --> 00:15:45,416 There's just a ton of things that could happen here to the extent that document

251 00:15:45,416 --> 00:15:49,541 you know, document generation could be expanded.

252 00:15:49,541 --> 00:15:54,958 We can do extractions, summary modeling, even more data that already exists within

253 00:15:54,958 --> 00:15:57,458 the capabilities of Neos.

254 00:15:57,458 --> 00:16:01,958 And then ultimately, I think the future state gets to data interrogation, you

255 00:16:01,958 --> 00:16:07,958 know, involving the and extending the natural language to quickly find relevant

256 00:16:07,958 --> 00:16:13,125 information and insights into cases and that allows that intake to include the use

257 00:16:13,125 --> 00:16:14,916 of small language models that...

258 00:16:14,916 --> 00:16:19,583 you know, make it very, very simple for the legal teams to just kind of embrace

259 00:16:19,583 --> 00:16:21,958 because there's no specialized computer languages here.

260 00:16:21,958 --> 00:16:23,958 because there's no specialized computer languages here.

261 00:16:23,958 --> 00:16:25,750 Well, we've got just a couple minutes left here.

262 00:16:25,750 --> 00:16:28,458 Any final words before we wrap up?

263 00:16:28,458 --> 00:16:29,708 I think, you know, I think Gen

264 00:16:29,708 --> 00:16:31,125 AI is, it's going to become the great equalizer in many industries.

265 00:16:31,125 --> 00:16:33,750 AI is, it's going to become the great equalizer in many industries.

266 00:16:33,750 --> 00:16:35,291 AI is, it's going to become the great equalizer in many industries.

267 00:16:35,291 --> 00:16:36,833 It's going to change the game.

268 00:16:36,833 --> 00:16:38,875 And while we're in our early stages of it, the beauty of AI is as it continues to

269 00:16:38,875 --> 00:16:42,833 And while we're in our early stages of it, the beauty of AI is as it continues to

270 00:16:42,833 --> 00:16:47,500 learn, it gets smarter very, very fast.

271 00:16:47,500 --> 00:16:51,750 And as the data is fed to it, you know, I think,

272 00:16:51,750 --> 00:17:00,916 tech CEOs, whether they're in the law space or another vertical, our job is to

273 00:17:00,916 --> 00:17:01,541 find the ways to leverage generative AI on behalf of our customers and find the ways

274 00:17:01,541 --> 00:17:08,958 find the ways to leverage generative AI on behalf of our customers and find the ways

275 00:17:08,958 --> 00:17:09,333 that allow customers to gain that time savings and gain that productivity and get

276 00:17:09,333 --> 00:17:14,166 that allow customers to gain that time savings and gain that productivity and get

277 00:17:14,166 --> 00:17:17,291 those efficiencies and improve their margins.

278 00:17:17,291 --> 00:17:18,125 So it's...

279 00:17:18,125 --> 00:17:21,875 really asking yourself questions about where do you start, how do you prioritize

280 00:17:21,875 --> 00:17:24,791 it, what investment should I make and where.

281 00:17:24,791 --> 00:17:30,000 And that's where I think working on our IVA OC process, the integrated voice of

282 00:17:30,000 --> 00:17:33,250 the customer, has changed that dynamic for us.

283 00:17:33,250 --> 00:17:34,458 It allows us to really eliminate the guesswork and missed opportunities and

284 00:17:34,458 --> 00:17:37,458 It allows us to really eliminate the guesswork and missed opportunities and

285 00:17:37,458 --> 00:17:39,166 focus on what law firms really want.

286 00:17:39,250 --> 00:17:41,250 Yeah, I like that customer driven approach.

287 00:17:41,250 --> 00:17:43,625 That's obviously the right way to be doing it.

288 00:17:43,625 --> 00:17:48,166 So, well, congratulations on this launch and thank you so much for joining me today

289 00:17:48,166 --> 00:17:49,958 to share the news.

290 00:17:50,291 --> 00:17:50,875 Thank you, Bob.

291 00:17:50,875 --> 00:17:51,833 It was a pleasure.

292 00:17:52,041 --> 00:17:53,333 That's it for today's episode.

293 00:17:53,333 --> 00:17:57,750 If you enjoyed it, please subscribe wherever you get your podcasts or on

294 00:17:57,750 --> 00:18:00,541 YouTube at lawnext underscore PR.

295 00:18:00,541 --> 00:18:05,500 You can also find all the episodes in the Law Next Legal Tech directory under the

296 00:18:05,500 --> 00:18:06,958 resources tab.

297 00:18:06,958 --> 00:18:08,041 This is Bob Ambrogi.

298 00:18:08,041 --> 00:18:09,750 Thanks for listening.