I'm Thinh Nguyen — Professor of Practice at the University of Florida Levin College of Law. For over 25 years I've helped technology pioneers navigate the legal frontier of AI, machine learning, and intellectual property — and I build interactive explainers to make these technologies understandable to everyone.
I began my career in the Technology Transactions Group at Wilson Sonsini, representing start-ups and leading technology companies in intellectual property transactions. At Creative Commons, as Counsel for Science Commons — a project embedded with MIT's Computer Science & Artificial Intelligence Lab — my fascination with AI grew out of meeting the visionaries behind the field. I went on to work at an AI company founded by a prominent MIT researcher, and later served as Executive General Counsel at GE Digital, leading legal teams commercializing AI, machine learning, and IoT applications in aerospace, additive manufacturing, and electrical utilities.
Today I teach and write about AI and the law, and I serve on the Judicial Management Council of Florida, advising the Chief Justice of the Florida Supreme Court on artificial intelligence strategy for the state court system.
Advising clients at the cutting edge of AI — from commercialization and deployment to governance, risk, and court-system strategy.
IP transactions, copyright and AI-generated works, open access, and the evolving doctrine around machine-created content.
Licensing, privacy, and security for data-driven products — informed by decades of deal-making in Silicon Valley and beyond.
Teaching AI & Legal Practice Laboratory, AI Law & Technology, and Introduction to Lawyering. Member, Judicial Management Council of Florida — advising the Chief Justice on AI strategy for the courts.
Led legal teams developing and commercializing AI, machine learning, and IoT applications in aerospace, additive manufacturing, and electrical utilities.
Counsel for Science Commons, embedded with MIT's CSAIL — then joined an AI company founded by a prominent MIT researcher.
Represented start-ups and leading technology companies in intellectual property transactions.
Published on cryptography, export controls, and the First Amendment in the Harvard Journal of Law & Technology.
A collection of hands-on, in-browser demonstrations I've built that explain how AI and machine learning actually work — neural networks, training, embeddings, and more. No math degree required.
Enter the Lab →