John Nay, Ph.D. shared a presentation of the evolution of LLMs and his work to create a Large *Legal Language Model (LLLM) trained on legal data and potential applications within the lawmaking process.

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ABOUT THE SPEAKER

John Nay is an A.I. researcher and the founder & CEO of an A.I. technology company.

As a Ph.D. student at Vanderbilt University, he conducted machine learning research funded by the U.S. National Science Foundation and U.S. Office of Naval Research. After Vanderbilt, he was a Postdoctoral Research Fellow at NYU, funded by Microsoft. As an Adjunct Professor, he created the first A.I. course at the NYU School of Law. He founded an A.I. powered financial technology company and served as its CEO for more than 6 years.

He is currently a Fellow at CodeX - The Stanford University Center for Legal Informatics, leading a research project on A Legal Informatics Approach to A.I. Alignment. You can find John's publications on A.I., law, policy, finance, and economics at johnjnay.com, and follow his research on Twitter at twitter.com/johnjnay.