As artificial intelligence becomes a core driver of business value, trade secret disputes involving AI technologies are rapidly increasing. Confidential data, model architectures, and training methods now sit at the heart of competitive advantage and potential litigation.
In this webinar, Robert Counihan, Matthew Damm, and Noah Solowiejczyk will explore how attorneys can identify, protect, and litigate AI-related trade secrets with both preventive and strategic approaches; examining governance practices, access controls, and incident response procedures that strengthen future litigation positions.
Participants will also learn how to manage discovery in technical environments, assess damages when AI assets are misappropriated, and present expert evidence effectively. By the end of the session, attendees will understand how to bridge compliance, litigation-readiness, and valuation in the evolving world of AI trade secrets. CLE credit is available.
Key topics to be discussed: