Berkeley's Bo Heiden, LegalBench creator Neel Guha and former EPO Chief Economist Nikolaus Thumm on what the data actually says about AI-drafted patent claims, and what in-house IP teams can take from it.
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Bowman (Bo) Heiden is Founding Faculty Director of Open Innovation Labs at UC Berkeley's Haas School of Business and Executive Director of the Tusher Strategic Initiative for Technology Leadership. He co-directs the Center for Intellectual Property (CIP) at the University of Gothenburg and co-chairs the Technology, Innovation, and Intellectual Property program at NYU Law's Classical Liberal Institute. He is currently leading a team of Berkeley researchers evaluating the quality of AI-drafted patent claims against attorney work product.

Neel Guha is Associate Professor of Law at Columbia Law School, where his work sits at the intersection of law and machine learning. He created LegalBench, the leading benchmark for measuring legal reasoning in large language models, and his research on how to evaluate AI-generated legal work has been widely adopted across the legal technology industry. He holds a J.D. from Stanford Law School and a Ph.D. in computer science from Stanford.

Nikolaus Thumm is an economist who served as Chief Economist of the European Patent Office and later as Senior Fellow at the European Commission's Joint Research Centre, where he worked on standard-essential patents, FRAND licensing and the economics of the patent system. He advises national and international organizations including the OECD, is an associate at TU Berlin, and is a fellow in UC Berkeley Law's Berkeley Fellowship Program, where his current research looks at how AI is reshaping invention and the future of the patent system.

Founder and CEO of Tradespace, the AI-native IP platform and law practice used by university technology transfer offices and corporate IP teams. Has spent his career in IP, from technology transfer to patent prosecution strategy.
AI is now everywhere in legal drafting, but there is still a fierce debate over the quality of AI compared to attorney work product. Both sides lack any real data or benchmarks to evaluate the quality of AI applications, or even attorney-drafted claims for that matter.
This is particularly concerning given the changes shaping the IP industry. 35% of attorneys report using AI to draft claims, and the emergence of AI-native IP law firms is forcing in-house teams to consider new models for prep and prosecution.
We're sitting down with three of the leading voices on AI and quality in law. Bo Heiden, Founding Faculty Director of Open Innovation Labs at UC Berkeley Haas and Co-Director of the Center for Intellectual Property, has been leading a team of Berkeley researchers evaluating the quality of AI-drafted patent claims. Neel Guha, Associate Professor of Law at Columbia Law School, developed LegalBench, the leading benchmark for AI-generated legal work; in his blind studies, professors at top law schools consistently ranked AI answers to exam questions above their colleagues'. Nikolaus Thumm, former Chief Economist of the European Patent Office and a fellow in UC Berkeley Law's Berkeley Fellowship Program, is studying how AI is reshaping invention and the patent system itself.
Tradespace CEO Alec Sorensen will moderate a conversation about what they've learned judging quality in a judgment-driven field, and what in-house IP teams can take from it as they weigh AI-native law firms and other approaches to patent prep and prosecution.
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