ethics, criminal law, contract law, and the legal profession more broadly.
In first-year Torts, Professor Datzov incorporates AI as a tool for advancing student learning and assessment. He has created and published an assignment that helps students understand both the capabilities and limitations of AI while reinforcing substantive tort law and exam preparation skills. In his Intellectual Property course, he demonstrates how AI can transform a substantive legal outline into a client-facing letter, illustrating both the efficiencies and the risks of AI-assisted drafting.
Professor Blake Klinkner has published numerous articles in the Wyoming Lawyer offering practical guidance to attorneys on integrating AI into their practices. In Civil Procedure, he addresses the use of AI in e-discovery and case preparation. He also demonstrates how AI can be used to assist with drafting discovery requests and discusses emerging applications such as predictive analysis in trial preparation. from using generative AI to complete the courses’ major written assignments. This carefully calibrated approach allows students to engage with AI-enhanced research and writing tools while ensuring they first develop foundational critical thinking and legal writing skills.
Other members of the faculty have also incorporated AI into their teaching. Professor Kimberly Dasse uses AI in her Transactional Drafting course to demonstrate how it can assist with contract drafting, while emphasizing its limitations and risks. In Law & Economics, Professor
Steve Morrison shows students how AI can be used to perform financial analysis, prepare exhibits based on that analysis, and generate code to increase the sophistication of work performed in statistical programs.
As the ABA’ s Year 2 Report makes clear, AI will continue to play an increasingly significant role in legal practice. The UND School of Law recognizes that its graduates must develop comfort, fluency, and critical judgment in using these tools if they are to thrive professionally. Integrating AI thoughtfully and responsibly into legal education is not optional, it is essential.
AI also features prominently in Professor Klinkner’ s Law Practice Management course, where it is explored as a tool for marketing, client management, due diligence, and firm operations. He regularly demonstrates AI tools in class and requires students to use AI in developing a comprehensive law firm business plan.
Professor Jennifer Cook has written on how rules of professional responsibility should evolve to address AI and the risks AI poses to attorney privacy obligations. In Lawyering Skills I, she introduces students to the varied uses of AI and generative AI in legal practice and to the concept of information literacy – knowing how to access, evaluate, use, and ethically manage information – as applied to AI tools. In Lawyering Skills II, students apply these information literacy principles using generative AI tools while completing core lawyering skills tasks.
Notably, despite incorporating these AI learning objectives, Professor Cook’ s generative AI policy prohibits students
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