Can you share what was the challenge that they were trying to solve, and what role AI served in supporting that process?

Absolutely.

So legal has actually been sort of like the canary in the coal mine when it comes to identifying the issues with using generative AI to draft really critical, important documents.

Um, just like HR, you know, in legal, that comes out as briefs or motions.

Um, in HR, you know, we'll be talking more about, you know, investigation reports and documentation.

Um, in the legal context, these mistakes actually do get found out and discovered, um, [chuckles] routinely because of the litigation is an adversarial process, right? Where in your legal writing, every single sentence has to be supported by a citation, and the other side is going to be scrutinizing those citations to see, okay, does the case really say that? Is that fact really true in evidence? And so there's now to date been over 1,700 documented sanctions cases where attorneys and their firms have been sanctioned, and their clients too, for, um, using generative AI in ways that can, you know, put the firm, the firm's reputation at risk.

Um, and it's, it's very tricky because generative AI can sort of create these citations that seem and look real.

What do you recommend as the very first guardrails every organization should establish when they're starting this journey?

So introduce yourself for any audience.

So I am the founder and CEO of Clearbrief.

We are a platform in Microsoft Word that helps HR teams and law firms later on, if you need, draft super accurate and very repeatable investigation reports.

So that every single sentence in that employee relations report or other documentation is backed up with evidence.

That's very, it's simple to share with leadership and others.

Where

Okay, so when you need to recharge your battery, your innovation battery, what's your go-to? What do you do?

Yeah.