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Jeffrey Kuhn
Jeff Kuhn is a computer scientist and data scientist who represents firms in a range of technologies, including machine learning, artificial intelligence, cloud computing, systems architecture, and computer vision. In addition to his deep technical background, he draws on both his legal and academic experience in IP strategy when counseling clients. Previously a professor at UNC Kenan-Flagler Business School, he has published papers on accelerated examination, patent citations, and prediction models for patent applications in journals such as the Rand Journal of Economics, the Review of Economics and Statistics, and the Strategic Entrepreneurship Journal.


  • PhD, UC Berkeley, Haas School of Business
  • JD, UC Berkeley, School of Law
  • BS and BA, Purdue University, Computer Science, Mathematics, and Psychology

Bar Admissions

  • State Bar of California
  • U.S. Patent and Trademark Office