Every conference has the AI hype session. This isn't it. Join moderator Dave Kawula and a panel of seasoned IT pros — Karinne Bessette, Émile Cabot, and John O'Neill Sr. — for a candid, no-marketing-slides conversation about the side of AI nobody puts on a product slide: the legal and liability ramifications of actually using it at work.

Everyone's racing to adopt AI. Far fewer are asking who's on the hook when it goes wrong. This panel digs into the questions that are starting to land in courtrooms and compliance reviews: What happens to confidentiality and privilege when you feed sensitive information into a consumer AI tool? Who owns the output — and who owns the liability when it's wrong? What are the data-residency, IP, and disclosure risks hiding in the Terms of Service you clicked through? And how do agentic AI tools, which can be hijacked by a malicious web page into acting against their own user, change the risk calculus entirely?

A live example we'll put on the table: the February 2026 federal ruling in United States v. Heppner, where a judge held that a defendant's conversations with a consumer AI platform were not protected by attorney-client privilege — because handing information to the AI counted as disclosing it to a third party. It's the first federal decision of its kind, and a preview of how courts may treat the rest of us. If your AI chats aren't confidential, what does that mean for the data your team is pasting in every day? Expect real talk on trust, accountability, and the human judgment that still can't be outsourced. Bring your questions — this one's built for audience pushback.