AI/IP Issues Part 1: State of the Law and Anticipating Issues Including Licensing Concerns

Companies want to leverage generative artificial intelligence (AI), but face challenges managing intellectual property risks. This webcast will help companies understand the new legal landscape for patents, copyrights, licensing, and trade secrets created by generative AI. Discover actionable insights to leverage generative AI while navigating the emerging challenges in protecting intellectual property. Attendees will understand the shifting marketplace and learn how to strategically adopt cutting-edge AI while safeguarding intellectual property, in particular:

• Make informed decisions about patent portfolios in light of recent USPTO guidance
• Mitigate infringement risks
• Discover best practices for avoiding trade secret disclosure
• Carefully consider key licensing provisions before adopting AI technologies

Speaker(s): 

Jen Stringfield, Esq. | Subject Matter Advisor, Intellectual Property, Artificial Intelligence, Data Security & Privacy | LexisNexis Jen is a seasoned legal professional with a deep understanding of legal technology as it relates to the practice of law. She is a subject matter expert in Intellectual Property and Data Security & Privacy at LexisNexis. Over her extensive tenure at Lexis, exceeding a decade, Jen has emerged as a key player in the intersection of law and technology. She possesses a wealth of experience in Artificial Intelligence (AI) applications within the legal landscape, contributing to advancements in legal tech and the integration of AI into legal practice. Before her tenure at LexisNexis, Jen practiced as a litigation attorney in the Chicago. Jen holds a Bachelor of Arts from the University of Illinois at Chicago and a Juris Doctor from Chicago-Kent College of Law.

Register now to gain invaluable insights and safeguard your intellectual property.

Can't attend? Register here for an on-demand recording after the webcast.

And more! >>> Check out AI/IP Issues Part 2: What Current Litigation Can Tell Us About Where IP in AI Is Heading