This webinar would provide participants with practical and specific guidance on how to effectively use AI large language models (LLMs), like GPT-4, Bing Chat, and Bard, in legal research and writing. Focusing on GPT-4–the most advanced LLM that is widely available at the time of this writing–it would emphasize that lawyers can use traditional legal skills to refine and verify LLM legal analysis. In the process, lawyers and law students can effectively turn freely-available LLMs into highly productive personal legal assistants.
*Registration is Required
Professor Daniel Schwarcz is an award-winning teacher and scholar. His research focuses on a broad range of issues in insurance law and regulation, spanning systemic risk, regulatory federalism, consumer protection, employer-sponsored health insurance, and insurance coverage litigation. In 2017, the American Law Institute awarded Schwarcz its highly selective Early Career Scholars Medal, which recognizes one or two “outstanding law professors whose work is relevant to public policy and has the potential to influence improvements in the law relevant to the real world.” He has also been awarded the Liberty Mutual Prize, which is given annually for the most outstanding article on property and casualty insurance law.
Schwarcz’s scholarship has been published in a wide range of leading law reviews and journals, such as the University of Chicago Law Review, Virginia Law Review, and the Journal of Empirical Legal Studies. He is also a co-author of the leading insurance law casebook in the country, Insurance Law and Regulation (7th edition 2020) which has been used as the principal text in courses on insurance law in more than 100 American law schools. Media outlets such as the New York Times, Wall Street Journal, and National Public Radio have covered Schwarcz’s scholarship. He regularly testifies to U.S. Congressional committees on insurance matters, and he has served as an expert witness in a wide range of insurance disputes. From 2007 to 2014, he served as a consumer representative at the National Association of Insurance Commissioners.
Schwarcz teaches courses on contract law, insurance law, the regulation of financial institutions, commercial law, health care regulation and finance, and judicial opinion writing. He has twice received teaching awards at the Law School, in 2008 and 2012.
Schwarcz earned his A.B., magna cum laude, from Amherst College and his J.D., magna cum laude, from Harvard Law School. While in law school, he was an articles editor for the Harvard Law Review and a John M. Olin Fellow in Law and Economics. After law school, he clerked for Judge Sandra Lynch of the United States Court of Appeals for the First Circuit and practiced at the law firm Ropes & Gray, where he worked mainly on insurance law matters. He subsequently spent two years as a Climenko Fellow and Lecturer on Law at Harvard Law School.
Professor Jonathan H. Choi specializes in law and artificial intelligence (applying natural language processing to study legal issues), statutory interpretation, and tax law.
Professor Choi earned his B.A. from Dartmouth College, summa cum laude, with a triple major in Computer Science, Economics, and Philosophy and high honors for his Computer Science thesis. He received a J.D. from the Yale Law School, where he was Executive Bluebook Editor of the Yale Law Journal. Before entering the academy, he practiced tax law at Wachtell, Lipton, Rosen & Katz.
Professor Choi has published articles in the New York University Law Review, Stanford Law Review, Yale Journal on Regulation, and Yale Law Journal, among others. His work has been covered by a wide variety of news outlets, including ABC News, Bloomberg, CBS News, CNN, the Daily Mail, Fox News, NBC Nightly News, the New Yorker, Reuters, the Star Tribune, and the Washington Post.