Episode Transcript
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(00:00):
This is ari Kaplan at Legal Week Day two.
(00:05):
I'm Joey Seger, CEO of Love Legal.
I'm Josh Sano.
I'm the CEO of SMI aware
I'm Ross Berman and I'm theCEO and Founder of Page Cuts.
Steve Goldstein, chief Product Officer.
CEO
co-founder of Legal Nation,
Tom Chapman, co-founder of Iceberg.
(00:27):
How has this.
Legal Week been different . What isyour objective at Legal Week this year?
Did you accomplish what you were tryingto achieve at Legal Week this year?
What is the focus of many of yourconversations at Legal Week this year?
What are the most effective way thatyou're seeing teams using generative ai?
What questions are you gettingabout artificial intelligence at
(00:49):
this year's Legal Week conference?
What are the talent challenges thatyou're hearing about at Legal Week?
It's back to pre covidexcitement, energy,
.We've had a great experience . I think
discerning the noise and the signal in AI
is what everybody's really trying to do
The main objective is to getmore awareness of what we do.
We're a social media research companyand provide that research to legal
(01:12):
teams, in-house teams and am analog200 law firms, and so broader awareness
of what we do and why it's important.
To the diligence process anddiscovery process is our manufacturer.
A lot of times people haven't thoughtabout social media information as a
category of data that is helpful inearly case assessment and early risk
assessment, and also an obligation ofa lot of attorneys in being diligent.
(01:37):
In terms of preservation and beinggood stewards for their clients.
It was a fantastic mix of socialevents and exhibit hall perusing and
lots of really great conversations.
A lot of issuessurrounding, the use of ai.
What's possible, what can be built byclients versus built by vendors, adoption.
(01:59):
Security, lots of excitement abouthow to put AI tools into practice.
We're talking to a lot ofcorporations and many of them have
active initiatives to bring in ai.
To save money for the business.
Previously in legal, talk ofai, seemed to be a very slow
ball, to roll up the hill.
(02:19):
And probably still true at law firms, butin the corporations the business actually
is looking for cost savings via ai.
So when we talk to a legal opsdepartment about our solution, it's
the right thing at the right time.
Where it's not.
Just being looked at, but it'swelcomed as a conversation.
(02:41):
We're seeing the use of generativeAI across a range of areas.
Adoption is greater with corporate lawdepartments than with law firms right now.
For example, we had a recent case where.
Customer was going intoa m and a situation.
About to acquire a divisionof another company.
They wanted to do a duediligence on their contracts.
(03:04):
And AI powered due diligence enabledthem to do a much more thorough diligence
within the time period that they hadwe are also seeing it used in cyber.
We are seeing it start to beused in managed document review.
It seems to follow a common theme,which is there's so much out there.
Which ones are real, which ones are not.
(03:25):
On top of that, how do you figureout which ones are great products,
which ones are great features, andwhich ones are real businesses?
That's a real question for buyers becauseyou don't want to buy something that is a
great, nice to have, maybe a nice featurethat'll solve someone's problem, but.
Not for the entire enterprise, . Thenyou have products that are great
(03:47):
in one thing, but buyers don't wantto have too many of those where
they have to log in separately todifferent platforms to solve problems.
The larger end to end solutions aregoing to be the winners going forward.
Number one, especially for legal techbusinesses is revenue generations.
But the struggle organizations are havingis that is getting folks that really.
(04:08):
Have the black book or knowhow to speak to or pitch to an
attorney or a legal partner.
The second one we're seeing constantlythis week is e-discovery project managers.
PMs and sales reps have beenthe two biggest themes at the
moment in terms of struggles.
Joey, thank you.
Thank you
Josh.
Thank you.
Thanks so much.
It was wonderful to see you this weekand I really appreciate being here,
(04:30):
Ross.
Thank you.
Alright.
You're welcome,
Steve.
Thank you.
There you go,
Subo.
Thank you man.
Thomas.
Thank you.
Thank you.
Alright,
Tom.
Thank you.
Appreciate it.