Corey Knowles

I agree.

Thanks again to everyone.

See you back here next time on The Neuron, AI Explained.

Farewell for now, humans.

Lawyers, what if you had a legal research tool that also helped you strategize?

Thomson Reuters Deep Research does exactly that.

And today, we talk to CTO Joel Rahn about it.

Welcome, humans, to the Neuron AI Explained.

I'm Corey Knowles, and with me as always is Grant Harvey.

Hello, hello.

Today, we're going to talk to Joel Rahn, CTO at Thomson Reuters, about Deep Research, an AI agent platform built for legal strategy, not just document search.

We'll unpack how it works, what testing with 1,200 customers taught them, the hallucination risks in legal settings, and what this means for lawyers and knowledge workers moving forward.

Joel, welcome to the podcast.

Nice to see you too.

We're sure excited to have you on here.

We know there's been a lot of talk in the legal community and around AI and how people are using it and some of the benefits they're finding and some of the limitations they hit along the way.

So we thought this was just a really good conversation to have and we're excited to have you here chatting with us.

So your shiny new autonomous agents are trading stocks, booking flights, and chatting with customers at 2 a.m.

Then suddenly, one of them goes off script.

Traditional APM tools throw up their hands because agentic workflows aren't just requests and logs.