Gabe Pereira

It depends which model you're using.

It depends on the agent harness.

And so there's just this massive challenge of how do you organize all this work in this new way, given the models can do some stuff, but they make mistakes in ways that aren't intuitive.

And so it is just this huge change management problem and like up-leveling problem.

for not just legal, like all these industries.

Like you're seeing the same thing in programming right now.

So, I mean, the pitch is definitely not we can do what you can do with computers.

But I think what helped early on was we found kind of certain partners or innovation leaders that...

AI isn't new to law firms.

They had been using things like TAR and other kind of AI technologies to do parts of legal work.

I think this was just such a large step change.

But early on, for example, our first client was A&O and David Wakeling there when we showed him kind of, we got early access to GPT-4 and we built a product around that and showed that to him.

He just had this light, the same light bulb moment we had where he's like, oh, this is going to change how we do work.

And I think a lot of our pitch to law firms has been there will be parts of the work you do that these models will do the same way.

Now, when you do discovery, you use tar and use contract attorneys and you don't use associates.

So that's going to happen.

But.

there is also going to be a lot of work that these law firms do that these models aren't going to do, right?

Like I don't see a world in the next 10 years where you're doing a large merger or a large litigation and it's fully automated, right?

Both for technology reasons, but also for regulatory insurance, all these reasons.