Faculty Directory

Dean Alderucci

Visiting Professor




Dual PhD in computer science and in public policy, Carnegie Mellon University; MS in Computer Science, Columbia University; MS in operations research, Columbia University; LLM in innovation and information law, New York University School of Law; BS and MS in computer engineering, Boston University

Areas of Expertise

Machine learning and natural language processing, innovation strategy, technology law and policy


Business Applications of Natural Language Processing, AI for Managers


Dean Alderucci is the director of research for the Center for Artificial Intelligence and Patent Analysis at Carnegie Mellon University. His research involves extracting knowledge from the text of legal and other documents, and automating complex tasks performed by knowledge-intensive workers such as lawyers, regulators, and medical professionals. He also advises organizations on best practices for implementing machine learning and natural language processing technologies, and on creating AI tools customized to various business areas. Dean speaks frequently on applying AI, especially in legal and regulatory domains. He has taught graduate courses in innovation strategy, natural language processing, and intellectual property at the University of Chicago, New York University, and Carnegie Mellon University. He was previously COO & Chief IP counsel for a global financial services firm, and before that chief counsel for a business incubator. He is also a registered patent attorney, an inventor on over 300 granted US patents across a variety of technical fields, and a Fellow of the National Academy of Inventors.

Selected Publications

  • “Third Workshop on Patent Text Mining and Semantic Technologies”, Proceedings of the 45th International ACM SIGIR Conference (2022)
  • “Copyrights Protection for Patents: Some Surprising Implications for Artificial Intelligence”, 123 West Virginia Law Review 791 (2021).
  • “The Automation of Legal Reasoning: Customized AI Techniques for the Patent Field”, 58(1) Duquesne Law Review, 50 (2020)
  • With K. Ashley, “Using AI to Analyze Patent Claim Indefiniteness,” IP Theory, 9(1), 2020
  • With D. Sicker, “Applying Artificial Intelligence to the Patent System,” Journal of the National Academy of Inventors, Technology and Innovation, 20(4), August 2019
  • With W. Baumol, “Patents and the Dissemination of Inventions,” Journal of Economic Perspectives, 27(4), 2013
  • With W. Baumol, “Rebutting a Major Misconception about the Patent System,” AESTIMATIO, the IEB International Journal of Finance, 6, 2013