As Senior Intellectual Property Counsel for GEICO and a seasoned patent strategist, Paul Roberts bring over 22 years of experience at the intersection of law, emerging technologies, and innovation. His career spans federal agencies, Fortune 100 companies, and startups—where he has led high-impact IP strategy, artificial intelligence counseling, and complex technology transactions. He currently advises on cutting-edge IP issues across AI, machine learning, open source, and branding—guiding cross-functional teams and defending against patent assertion entities.
Throughout Paul’s career, he has prosecuted 200+ patents, advised on software and AI licensing, and trained legal and technical teams on IP risk. His work is grounded in clarity, efficiency, and innovation—from negotiating multimillion-dollar deals to delivering practical guidance on open-source compliance and trade secret protection.
In 2025, three federal courts finally confronted a question that had hovered over artificial intelligence for years: can machines legally learn from copyrighted works? Each opinion—Thomson Reuters v. Ross Intelligence, Bartz v. Anthropic, and Kadrey v. Meta Platforms—applied the four-factor fair-use test under 17 U.S.C. §107 to large-scale model training. Together, they form the first real framework for evaluating how copyright interacts with machine learning.