
Can You Trust AI During an Internal Investigation?
When you’re conducting an internal investigation and using AI as a tool, you’re risking the use of a shifty informant.Let’s talk about a risk that I’m seeing firsthand in internal investigations: AI hallucination.I use AI in my own practice, and I got scared very quickly because it cited cases that don’t exist. It cited them confidently, persuasively, like it was reading straight off a court docket. It wasn’t.Now imagine that inside an internal investigation. You’re using an AI tool to summarise witness interviews, to search a document universe, to draft findings for audit committees.If that tool fabricates a fact, misattributes a quote, or invents a document that was never produced and nobody catches it, that error doesn’t stay contained.It becomes your investigative record. It becomes the basis for a disciplinary decision, a self-disclosure to a regulator, maybe even a certification to the government that your findings are accurate.Here’s the rule I put in place today: every AI-assisted output in an investigation gets independently verified against the underlying source material.Not spot-checked. Verified.Because the day you rely on an AI summary you never checked is the day that your investigation’s credibility, and maybe your own, is on the line.The Ethics and Compliance Q and A show is produced by One Stone Creative.





