Tabrez Ebrahim
Associate Professor of Law
Biography
Tabrez Ebrahim is an academic and a technologist who focuses on the intersections of artificial intelligence/machine learning (AI/ML), innovation, and law. He is an Associate Professor of Law at Lewis & Clark Law School and an expert in AI/ML and the law, legal technology, and legal intelligence and analytics. His research focuses on how laws regulating AI affect data privacy, justice, liability, and risk and how AI/computational techniques can derive legal insights. He helps lawyers, entrepreneurs and executives, and AI/ML engineers and data scientists understand each other by applying ideas from computer science, statistics, and business to the law and vice a versa.
His areas of research include law and technology, intellectual property law, and business law. His scholarship focuses on the impact of AI on liability and legal standards, the relationships of patents and trademarks with innovation, the effect of digital technology on corporations, and the use of computational methods for legal analysis. He has published articles in BYU Law Review, Seton Hall Law Review, Penn State Law Review, Lewis & Clark Law Review, Georgia State Law Review, Journal of Corporation Law (University of Iowa College of Law), IP Theory (Indiana University Maurer School of Law), Seattle University Law Review, Michigan Technology Law Review, and North Carolina Journal of Law & Technology, among others, and has authored book chapters with Cambridge University Press and encyclopedia contributions with Edward Elgar Publishing.
Professor Ebrahim has taught courses related to AI & Law, business law, cybersecurity law, data and computer crime, entrepreneurship law and ethics, intellectual property law, licensing law, property law, and wills & trusts. He has been the Interim Director of the Center for Business Law and Innovation at Lewis & Clark Law School, a Visiting Scholar at the University of Texas at Austin McCombs School of Business, and a Visiting Scholar at the University of Texas at Austin School of Law. He is a Scholar at the Intellectual Property Policy Institute and is the recipient of an Edison Innovation Fellowship grant, da Vinci Research Fellowship grant, Fulbright Specialist grant, and U.S. Department of State Rawabit grant to the Hashemite Kingdom of Jordan. He holds an international appointment as a Visiting Professor at Jordan University of Science & Technology and is a recipient of the Fulbright U.S. Scholar award to the Hashemite Kingdom of Jordan for research and teaching concerning innovation and Jordan’s Economic Modernisation Vision.
He is a Faculty Affiliate with the Lewis & Clark College Data Science Program, Research Affiliate with the Bates Center for Entrepreneurship and Leadership, Research Affiliate at Portland State University’s Fariborz Maseeh Department of Mathematics & Statistics, Research Affiliate at the Portland Institute for Computational Science (PICS), and member of the Outreach & Advisory Group for the National Science Foundation funded Oregon Regional Computing Accelerator (Orca). These appointments reflect his commitment to interdisciplinary research and to intersections of law and policy with computing, data science, mathematics and statistics, and business and entrepreneurship. As a scholar of AI and the law and as an engineer, he uses datasets and machine learning methods to investigate legal issues and also he studies the impact of AI and data science on business and entrepreneurship, legal doctrines, the legal profession, and society.
Professor Ebrahim received his JD from Northwestern University Pritzker School of Law and MBA from Northwestern University Kellogg School of Management, LLM from the University Houston Law Center, MS in mechanical engineering from Stanford University, and BS in mechanical engineering from the University of Texas at Austin. He has a graduate certificate in entrepreneurship from the Stanford Graduate School of Business, and he has been a founder, board member and board advisor, and leader and operator of multiple, funded, high-growth technology startups. Prior to entering legal academia, he practiced law and served in various corporate legal, startup leadership, management, and engineering and applied research roles. He is licensed to practice law in Texas, is a registered U.S. patent attorney, and is an inventor on a U.S. patent.
Specialty Areas and Course Descriptions
- Patent Law & Policy
- Property
- Wills & Trusts
- AI & Law
- Business Law
- Business Model Design
- Cybercrime & Security
- Cyberlaw & Cybersecurity
- Data & Computer Crime
- Entrepreneurship Law & Ethics
- Licensing
- Patent Law
- Patent Litigation & Strategy
- Transactional Intellectual Property
Academic Credentials
- JD, Northwestern University Pritzker School of Law
- MBA, Northwestern University Kellogg School of Management
- LLM, University of Houston Law Center
- Graduate Entrepreneurship Certificate, Stanford Graduate School of Business
- MS, Stanford University School of Engineering
- BS, High Honors, University of Texas at Austin Cockrell School of Engineering
Bibliography
Books-in-Progress
- Cambridge Handbook on AI, Entrepreneurship, and the Law (Eric Chaffee & Tabrez Ebrahim, eds. Cambridge University Press, forthcoming 2027).
- Artificial Intelligence for the Non-Technologist: What Every Lawyer, Law Professor, & Law Student Should Know (Cambridge University Press, forthcoming 2027).
Book Chapters & Encyclopedia Contributions
- Patents on Biotechnology & Pharmaceuticals from an Islamic Perspective, in Research Handbook in Intellectual Property and Health (Ana Santos Rutschman, ed. Edward Elgar Publishing, forthcoming 2026).
- Patents in Islamic Law, in Intellectual Property and Religion: Cross-Cultural Intersections of Faith and Law (Bonadio, Khan, & Lucchi, eds. Hart Publishing, forthcoming 2026).
- Computational Legal Analysis, in Edward Elgar Encyclopedia of AI and the Law (Ryan Abbott and Elizabeth Rothman, eds. Edward Elgar Publishing, 2025).
- Chatbots for Legal Services, in Edward Elgar Encyclopedia of AI and the Law (Ryan Abbott and Elizabeth Rothman, eds. Edward Elgar Publishing, 2025).
- 3D Printing: Technology, Intellectual Property Law, & Business Models, in The Cambridge Handbook of Emerging Issues of Commercial Law and Technology, (Stacy-Ann Elvy and Nancy Kim, eds. Cambridge University Press, 2025).
- Artificial Intelligence in Cyber Peace, Cyber Peace: Charting A Path Towards A Sustainable, Stable, And Secure Cyberspace (Shackelford et. al., Cambridge University Press, 2022).
Publications
- Against Corporate Oversight, 51 Journal of Corporation Law (2025) (University of Iowa College of Law).
- Bioethics of Patents and Licensing, 26 North Carolina Journal of Law & Technology 297 (2025) (symposium).
- Corpus Linguistics at the U.S. Patent & Trademark Office,50 BYU Law Review 49 (2024) (symposium).
- Comparative Intellectual Property & Religion, 14 IP Theory 1 (2024) (Indiana University Maurer School of Law) (solicited).
- Justice Tech, 102 Denver Law Review Forum (2024).
- Innovation Originators, 31 Michigan Technology Law Review 1 (2024) (with Rafeel Wasif, PhD).
- Data in Business & Society,28 Lewis & Clark Law Review 245 (2024) (symposium).
- Islamic Intellectual Property,54 Seton Hall Law Review 991 (2024).
- Algorithms in Business, Merchant-Consumer Interactions, & Regulation, 123 West Virginia Law Review 867 (2021) (symposium).
- Intellectual Property from a Non-Western Lens: Patents in Islamic Law, 37 Georgia State University Law Review 789 (2021).
- National Cybersecurity Innovation, 123 West Virginia Law Review 483 (2020).
- Artificial Intelligence Inventions & Patent Disclosure, 125 Penn State Law Review 147 (2020), reprinted in Intellectual Property Review (2021).
- Clean & Sustainable Technology Innovation, Current Opinion in Environmental Sustainability (2020) (peer reviewed).
- Computational Experimentation, 21 Vanderbilt Journal of Entertainment and Technology Law 591 (2019).
- Automation & Predictive Analytics in Patent Prosecution: USPTO Implications & Policy, 35 Georgia State University Law Review 1185 (2019) (symposium).
- Data-Centric Technologies: Patent & Copyright Doctrinal Disruptions, 43 Nova Law Review 287 (2019) (symposium) (solicited).
- 3D Bioprinting Patentable Subject Matter Boundaries, 41 Seattle University Law Review 1 (2017).
- Trademarks & Brands in 3D Printing, 17 Wake Forest Journal of Business & Intellectual Property Law 1 (2016).
- 3D Printing: Digital Infringement & Digital Regulation, 14 Northwestern Journal of Technology & Intellectual Property 37 (2016).
Law School Faculty is located in Legal Research Center on the Law Campus.
MSC: 51
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