Faculty Profile
Research Areas
▸
- Yong Pung How School of Law
- Technology and Innovation
- AI and Law
- Computational Law
Daniel Martin Katz is a scientist, technologist and professor who applies an innovative polytechnic approach to teaching law - to help create lawyers for today's biggest societal challenges. Both his scholarship and teaching integrate science, technology, engineering, and mathematics.
Professor Katz is the Yong Pung How Visiting Professor of Law at SMU Law and has published in a wide variety of academic outlets, including Science, Philosophical Transactions of the Royal Society A, Plos One, Scientific Reports, Journal of Statistical Physics, Europhysics Letters, Frontiers in Physics, Physica A, Journal of the Royal Society Interface, Proceedings of the ACL and Artificial Intelligence & Law. In addition, his work has been published in legal journals including Cornell Journal of Law & Public Policy, Emory Law Journal, Virginia Tax Review, Iowa Law Review, Illinois Law Review, Ohio State Law Journal and Journal of Legal Education. He is the co-editor of a volume entitled Legal Informatics (Cambridge University Press - 2021) and has recent book projects on Agentic AI in Law & Finance (2025) and AI Native Law Firms (2026).
Professor Katz is also a successful entrepreneur having co-founded LexPredict (acquired by Elevate in 2018). His forward-thinking ideas helped to earn him acknowledgement among the ABA Journal's “Legal Rebels,” and in 2025, the Financial Times named Professor Katz as one of the “Top 20 Legal Market Shapers of Past 20 Years” for both his academic and commercial work advancing the state of AI in the law.
Qualifications
- Ph.D. Political Science & Public Policy, University of Michigan
- J.D. University of Michigan Law School
- M.P.P. Ford School of Public Policy, University of Michigan
- B.S. University of Oregon
Research Interests
- Artificial Intelligence and the Future of Society
- Legal Technology and the Innovation in Legal Sector
- Legal Education in the Age of Artificial Intelligence
- A Complexity Science Approach to Legal Studies
- Application of Scientific Methods in Law
Teaching Interests
- Artificial Intelligence & Law
- Governance of Artificial Intelligence
- Scientific Methods in Law
- Legal Ethics
- Legal Tech & Innovation
- Blockchain, Cryptocurrency & Law
Related Links
Professor of Law, Illinois Tech - Chicago Kent Law
Academic Director, Bucerius Center for Legal Technology & Data Science
Affiliate, CodeX - The Stanford Center for Legal Informatics
Editorial Board, Journal of Artificial Intelligence & Law (Springer Scientific)
Editorial Board, Cambridge Forum on AI: Law and Governance (Cambridge Univ. Press)
Please refer to Curriculum Vitae for more updates.