Gabe Pereira

Go research this.

How do I write risk factors for this document?

And what these associates are incredible at is they can just absorb these tasks.

They know how to go use all these tools and solve all these problems.

And that's kind of what you're seeing these agents starting to get better and better at.

The part that I think is so difficult about these legal workflows and similar to programming is the boundaries between the tasks are super blurry.

And so it's not easy to go to a law firm or go to a programmer and say, hey, the coding models or the legal models can do this and humans can do this.

Like the boundaries are very blurred and the work is so complex that a lot of the challenge we're working with law firms is how do you rethink your workflows and what humans and agents should be doing when you're working on these large projects.

I think it's both that, but also the distinction of even what do you delegate to humans.

When you're doing a merger, you kind of have a pyramid, right?

You have like a senior partner, some junior partners, senior associates, junior associates.

there isn't like a concrete rule of when i'm doing a merger this task goes to this associate and there isn't even a concrete rule of what defines a task right because it's all text based and so it's a partner just saying i need you to figure out xyz and that could be something super simple like go look up this one case and tell me who is the other party in it or it could be something super complex that is like go write the first draft of the merger agreement

right?

But even that mapping, and this is kind of what you see with ChachiBT, where when we started the company, people would be like, what does your product do?

And it's kind of the same as asking people, what do you do with ChachiBT?

It's like everything, but it's really hard to define why you do something one way.

And this is exactly what makes the transformation so difficult.

Because to your point,

given this kind of such an open natural language shape, how do you start defining the boundaries of this is what models are good at?

Because it depends how you prompt it.