Joel Hron

And I think, you know, I like to draw this analogy to software engineering in a lot of these conversations that I have in that, you know, if you look at AI tools and AI agents in the engineering space, like they are and they have like completely transformed how you look at like building software from the ground up.

Right.

And the sort of pace of development of those tools has outpaced other industries by about 18 months, probably, just because, you know, the models are better at writing code.

They have been better at writing code.

It's a testable, you know, thing in terms of like, does it work?

Does it not?

Does it compile?

Does it not?

Yeah.

I think engineers have outpaced the rest of the market.

If you look at what has happened in terms of engineering workforce with AI DevTools, it has amplified the hardest parts of being an engineer.

And in many ways, it's made the best engineers even better than they were before.

So if they were 10x people before, they're 100x people now.

And that's because the hardest parts of the job, the ones that require the most human judgment and good decision making are

are the things that are being done more often.

Like all the boilerplate stuff and the common function writing and bug triage stuff is done much more easily now.

And so more of the time is being spent making hard decisions, hard technology choices.

Like I got a fork in the road in terms of this architectural choice, like which one's better.

And that's like the very human part, I think, that is even more important than it was before.

And I think the same is true for legal or will be true for legal as these systems advance in that the system's not like just giving you an answer to go like hit send on or in an engineering context hit deploy on.