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Welcome to LawNext PR, the podcast where

we put a spotlight on the latest news

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coming out of the legal tech industry.

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This is Bob Ambrogi and in each sponsored

episode of LawNext PR, I interview a

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legal tech company about its just released

news or latest developments.

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Today we're discussing Neos AI, just

launched by Assembly Software.

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And joining me to tell us about the news

is the CEO of Assembly Software, Daniel

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Farrar.

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Daniel, welcome to the show.

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Thanks, Bob.

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Delighted to be here.

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Great to have you.

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First of all, just because maybe not

everybody who's listening to the show

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knows exactly what assembly software is

and what NEO is.

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So maybe you can use a nutshell intro to

the company and the product.

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So maybe you can use a nutshell intro to

the company and the product.

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Sure, sure, sure.

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That makes a lot of sense.

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You know, if you go back to our humble

beginnings, assembly is the combination of

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You know, if you go back to our humble

beginnings, assembly is the combination of

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two long -standing case management and

practice management software companies,

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two long -standing case management and

practice management software companies,

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that being Needles and TrialWorks.

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Needles originally offered up a product

called Pins, which was a personal injury

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negligence system back in 1985.

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And then it became Needles, and then in...

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Around 2017, Ridge Road Partners came in

and put Needles and Trial Works together,

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creating, you know, arguably the largest

install base of users by a relative market

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share of 2X.

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The products that Assembly offers have led

the industry in case management technology

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and have continued to adapt to emerging

trends and driving innovation.

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The Assembly technology platform,

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powers all three of our products.

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That would be Needles, TrialWorks, and

Neos.

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Neos is our flagship cloud product.

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And we have been systematically migrating

all of our install -based users on Needles

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and TrialWorks to a Neos solution in the

cloud, which has a lot more capabilities.

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So it's been leading the charge and

leading the change.

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Neos has been just a...

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absolute home run in an industry that has,

you know, growing right now.

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You can peg the U.S.

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market at about seven to 10 billion in

size, growing at about 6%.

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Neos is clipping at over 60 % growth.

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And of all things, we're coming up on 40

years of experience in case management in

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2025.

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So if you add in needles and trial works

together, we'll have 40 years serving the

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legal and legal tech industry.

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Now with Neos, it is our industry leading

SaaS solution.

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And there's a lot of things that we've

done differently to make that the product

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And there's a lot of things that we've

done differently to make that the product

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of choice for law firms.

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And I'm sure we'll talk about that.

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But it's especially good in PI, insurance,

defense, mass torts, public sector.

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And a little bit of bragging rights, if I

can take some time on that one, Bob.

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We recently won the number one spot in the

G2 Momentum Report ahead of Cleo,

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Filevine, and a number of others for Neos.

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Filevine, and a number of others for Neos.

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Our NPS score is well above average, kind

of on a three month running basis at about

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78, with 97 % customer satisfaction.

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And we won the Legal Tech Breakthrough

Award two years in a row for innovation.

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We're a leader in both Gartner and the G2

Quadrants quarter over a quarter.

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The product is just, you know, it's a

natural extension of our technology

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platform and it has been designed for ease

of use in the integration through

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microservices built on Microsoft and

workflow integrations which, you know, are

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microservices built on Microsoft and

workflow integrations which, you know, are

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required in any law firm's day -to -day

case management operations.

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Right, well speaking of innovation, as we

are speaking, you've just launched Neos

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AI, so tell us more about what it is

you've just launched and what it means for

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legal professionals.

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Yeah, I think what's really important is

to just go back before we go forward.

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You know, one of the things that we did at

Assembly that I think has really changed

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the game for the company is we have an

integrated voice of the customer.

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Now, what does that mean?

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That means we take all of our support

tickets, we take all of our CSAT scoring.

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We take all of our customer effort, all of

our customer health scores, we take all

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the input from our customer advisory

boards, and a variety of beta inputs.

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And that allows customers to have a real

voice in how the product gets shaped.

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So when we talk about Neos AI, one of the

things that's been, I think, a huge

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So when we talk about Neos AI, one of the

things that's been, I think, a huge

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differentiator, and why I think it's gonna

be just a home run for the industry.

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is we launched a beta program with over 60

firms participating in the usage and

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definition of what Neos AI should be.

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It's been running for over nine months

now, and it's been all IVOC, integrated

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It's been running for over nine months

now, and it's been all IVOC, integrated

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voice of the customer, and product led as

we've innovated the product.

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And we've focused on what actually matters

for firms.

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We let them tell us.

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And the things that really became

surfaced.

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out of AI for most law firms of all sizes

was save me time and help me be more

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efficient.

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The purpose and user -driven

implementation on a real -world basis for

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their cases and their user input shaped

and defined the delivery of our roadmap.

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So the evolution of NeosAI, you know, we

started thinking that it was going to be

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document generation, demand letters and

other types, field generation.

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We then moved into conversations with the

customer base about document summaries so

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users could quickly get a synopsis of the

content, the files and storage, the

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users could quickly get a synopsis of the

content, the files and storage, the

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summary directly into Neos so it can be

searched and reported on.

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And then we expanded it to document

extraction with a focus on processing the

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thing that matters most to a lot of PI

firms and insurance defense, which is

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medical records, extractions, reporting on

the key data.

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and doing summary chronologies.

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So the key features in Gen 1, and I will

say this Bob, we took a multi -generation

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approach to AI.

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We've begun Generation 1, which is being

announced in June, June 5th.

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And then we're gonna have a second

generation that comes out that's gonna be

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building on that as we move forward.

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But it's gonna first and foremost be

inclusive of AI document summaries.

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which will create, you can generate

document summaries in seconds.

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You'll eliminate the need for manual

summarization and it will provide

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immediate insights into document content

without ever having to open the file.

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Then there'll be AI document generation.

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So you'll be able to automate document

creation using Neos data, allowing for

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easy customization, previewing, validation

before you ever have to download.

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And then you'll be able to do all of your

documentation, AI documentation extraction

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in your summaries through automatically

extracting key data from uploaded

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in your summaries through automatically

extracting key data from uploaded

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documents, streamlining the data entry

process and ensuring the accuracy of the

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data input.

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So, you know, I think one of the things

that's really important to know is it's

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So, you know, I think one of the things

that's really important to know is it's

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gonna, one of the things that we focused

on was how much time can we save you?

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And,

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That was really important to law firms.

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They told us firsthand, save me time, save

me, get me more efficient.

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And with our Neos AI powered documentation

summaries, we believe that now that we've

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And with our Neos AI powered documentation

summaries, we believe that now that we've

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seen it and we've put it into action with

a number of different test cases, that's

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gonna save your firm up to 10 hours per

case in just doing automated summarization

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capabilities.

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So you're gonna...

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you're going to be able to do cases

faster, and you're going to be able to

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save money as you do it on the cost side

of the equation that frees up capacity to

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apply to other elements of the case.

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With AI -powered documentation generation,

we'll be able to transform document

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creation by automating research and

repetitive drafting, which boosts your

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efficiency, and it ensures a consistency

to it.

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That's going to save you up to six hours

per case.

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With the AI -powered extraction, that will

streamline your data.

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It will ensure accuracy by automating the

extraction of the key details of any

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document, and will save you 20 hours per

case.

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And for the AI -powered dynamic forms,

Neos AI -adaptable form solutions allows

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you to, your firm,

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to customize and streamline critical

processes and enhancing the productivity

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and control while providing the firm the

opportunity to be the final approver of

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all of its outbound documentations to any

of their clients.

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I think one of the things that's really

critical when you think about AI,

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especially in legal, there's been a lot of

misstarts here.

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We've seen a lot of people get out into

market quickly.

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and then they wanted to be first, they

wanted to get the big valuations, but

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their AI solutions weren't really all that

well thought out.

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And I'm not gonna name any names, but a

lot of them are, you know, it's an AI

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And I'm not gonna name any names, but a

lot of them are, you know, it's an AI

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solution where they do the documentation

generation, they'll do field generation,

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but then they'll collect that information

back, it comes into a central repository,

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and then they ship it overseas.

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to have a one week cycle time to check

that work with human intervention.

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That's not AI.

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That's a BPO.

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And by the way, those two things are

actually in conflict with each other when

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you think about trying to scale that.

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If you're doing 10 ,000 demand generations

and you have 50 people checking that work,

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what happens when it goes up to 100 ,000?

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How many more people do you need on the

other end to check the work?

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It's just...

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That is not AI to us.

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When you're a Neos AI, it's powered by

Microsoft's ecosystem and open AI

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technology.

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And by the way, it is completely embedded

into the Neos workflow solution.

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You never have to leave the system.

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So it seamlessly accelerates your

productivity with your existing workflows.

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You never have to leave.

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You can toggle in, toggle out as you use

it.

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And it gives you a chance to save the

time.

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create the capacity you need so that you

can then go back and check the work, check

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your facts, check the sentiment, and make

sure it's the way you want to have it

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presented as you begin shaping your case

work.

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Yeah.

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Daniel, what about security?

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I mean, obviously that's been a huge

concern among law firms when they're

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thinking about deploying AI in any way.

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So what are you doing to ensure that

client data is protected when your

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customers are using AI?

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Yep, so we take a net, what we call zero

net retention policy.

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Yep, so we take a net, what we call zero

net retention policy.

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Neos AI not only boosts the efficiency,

but it prioritizes data security utilizing

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AI models provided by Microsoft and Azure

AI.

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So we utilize their microservices with a

zero net data retention policy.

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And this policy aligns with global data

privacy regulations such as GDPR and CCPA.

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ensuring compliance and protecting all

sensitive information as required.

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So we've got that button down pretty hard.

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We took a very zero tolerance policy on

confidentiality and security.

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So I'm wondering if I can just kind of ask

you the bigger picture question because as

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you say, you've got, you know, you not

personally, but you, your company has 40

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years of experience in this space.

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This is still an emerging and evolving

technology.

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What do you think it ultimately means for

law practice?

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What do you think generative AI and these

new AI technologies ultimately mean for

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practicing lawyers?

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I think, you know, it's interesting, Bob.

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It's a fantastic question to posit because

I think when you think about the ways law

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firms, lawyers in general, have to do

their work, there is just an immense

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amount of reading, fact checking, data

collection, processing, and it's this

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repetitive cycle that you have to continue

to go through to make sure you've got

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everything required and necessary to

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to improve your case.

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to improve your case.

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And when you think about AI, what could be

a better solution for you?

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You know, when you are working with a

perfect data set, now what do I mean by

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You know, when you are working with a

perfect data set, now what do I mean by

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perfect?

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Let's say you have all the correct facts

that you are asking your AI to work

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Let's say you have all the correct facts

that you are asking your AI to work

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Let's say you have all the correct facts

that you are asking your AI to work

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within.

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If the facts are correct,

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and the information is correct, the

regression or the R squared on that is

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gonna be one It's gonna be great and AI is

gonna serve you very well.

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When you ask AI to take data and then

interpret it and it gets outside of

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When you ask AI to take data and then

interpret it and it gets outside of

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factual content, that it doesn't know

whether it's accurate or inaccurate,

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because you haven't vetted it, your R

squared drops to probably about .

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And when you ask it to be creative, now

you're talking about who the hell knows

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what you're going to get for a response

from AI.

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It's probably going to go to zero.

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But I think as we look ahead, we're going

to continue to work with firms to collect

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and learn more about use cases and

productivity and automation.

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That's where this really begins.

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Law firms are going to define how to use

AI.

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And they were...

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I will say this, I think law firms in

general, whether they are one lawyer or

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all the way up to AmLaw 100, have been a

little slow to adopt the cloud.

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That curve has now, we've gotten past

that.

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I think they're gonna take a slightly

slower approach with AI.

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I think they're gonna take a slightly

slower approach with AI.

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They're gonna wanna be spoon fed.

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But when they've had a voice in shaping

it, I think the adoption and the usership

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But when they've had a voice in shaping

it, I think the adoption and the usership

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for it will go up dramatically.

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So we're gonna spend some more time with

NeosAI to the extent of developing carve

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-out teams that represent specific case

expertise.

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We'll work on the expansion of AI -driven

workflows that create smart automation and

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improve productivity for law firms.

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We'll look at how we can use advanced

analytics in combination with NeosAI data.

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that results from improved user

experiences, that the data represents a

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functional evolution of the information

that they'd previously been working with.

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We'll look at creating probably

dynamically generated forms from documents

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We'll look at creating probably

dynamically generated forms from documents

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that automatically could recognize key

value pairs or store data directly into

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Neos.

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There's just a ton of things that could

happen here to the extent that document

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you know, document generation could be

expanded.

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We can do extractions, summary modeling,

even more data that already exists within

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the capabilities of Neos.

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And then ultimately, I think the future

state gets to data interrogation, you

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know, involving the and extending the

natural language to quickly find relevant

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information and insights into cases and

that allows that intake to include the use

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of small language models that...

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you know, make it very, very simple for

the legal teams to just kind of embrace

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because there's no specialized computer

languages here.

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because there's no specialized computer

languages here.

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Well, we've got just a couple minutes left

here.

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Any final words before we wrap up?

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I think, you know, I think Gen

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AI is, it's going to become the great

equalizer in many industries.

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AI is, it's going to become the great

equalizer in many industries.

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AI is, it's going to become the great

equalizer in many industries.

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It's going to change the game.

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And while we're in our early stages of it,

the beauty of AI is as it continues to

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And while we're in our early stages of it,

the beauty of AI is as it continues to

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learn, it gets smarter very, very fast.

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And as the data is fed to it, you know, I

think,

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tech CEOs, whether they're in the law

space or another vertical, our job is to

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find the ways to leverage generative AI on

behalf of our customers and find the ways

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find the ways to leverage generative AI on

behalf of our customers and find the ways

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that allow customers to gain that time

savings and gain that productivity and get

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that allow customers to gain that time

savings and gain that productivity and get

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those efficiencies and improve their

margins.

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So it's...

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really asking yourself questions about

where do you start, how do you prioritize

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it, what investment should I make and

where.

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And that's where I think working on our

IVA OC process, the integrated voice of

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the customer, has changed that dynamic for

us.

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It allows us to really eliminate the

guesswork and missed opportunities and

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It allows us to really eliminate the

guesswork and missed opportunities and

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focus on what law firms really want.

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Yeah, I like that customer driven

approach.

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That's obviously the right way to be doing

it.

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So, well, congratulations on this launch

and thank you so much for joining me today

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to share the news.

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Thank you, Bob.

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It was a pleasure.

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That's it for today's episode.

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If you enjoyed it, please subscribe

wherever you get your podcasts or on

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YouTube at lawnext underscore PR.

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You can also find all the episodes in the

Law Next Legal Tech directory under the

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resources tab.

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This is Bob Ambrogi.

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Thanks for listening.