Most founders are focused on how fast AI can help them draft, design, and publish, and almost none of them are looking at where that same AI use is quietly building legal liability into their revenue model.

In this video, business and intellectual property attorney Jessica Eaves Mathews of Leverage Legal Group breaks down the four exposures every AI using business needs to understand before the first claim lands. Learn why the US Supreme Court’s March 2026 refusal to hear the Steven Thaler appeal confirmed that AI generated content without significant human authorship cannot be copyrighted, which means content businesses using AI as a primary production tool may have already lost the ability to protect their work or bring infringement claims against copycats. Understand how the Disney v Midjourney lawsuit is exposing the reality that AI outputs frequently reproduce protected trademarks and copyrighted material almost identically, which means founders can be building brand identity around a logo or image that already belongs to someone else.

Get clarity on why platform terms of service grant licenses without exclusivity, why client and proprietary data fed into free AI tools is quietly training someone else’s model, and why the Federal Trade Commission is increasingly treating undisclosed AI use in deliverables as a potential deceptive trade practice.

Jessica also walks through the four move governance stack that every founder should install now, mapping every point where AI touches the revenue model, updating terms of service and client agreements to disclose AI use, building an internal AI policy that governs team behavior, and calling the insurance broker to confirm what current policies actually cover.

Watch to the end for a free consultation offer to review your specific AI exposure before it becomes a claim, an audit, or a lost brand asset.