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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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00:18:05,500 --> 00:18:06,958
resources tab.
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This is Bob Ambrogi.
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Thanks for listening.