Greg Duhl (Mitchell Hamline) has posted two pieces exploring the intersection of AI and legal education. Here are the abstracts:
Teaching Contracts: My Journey with Spellbook and AI Pedagogy (forthcoming, William & Mary Law Review Online)
I am integrating Spellbook, an AI tool for contract drafting and review, into my first-year law school Contracts course in Spring 2026. Although Spellbook is highly effective, its educational value hinges on the pedagogical framework structured around it, a framework typically not licensed along with AI tools. In-house instructional design expertise can provide this framework, and the professor-instructional designer partnership offers one model for successful AI integration. Strong tools paired with robust instructional design yield learning experiences in which AI augments, rather than supplants, the cultivation of legal judgment and critical thinking. This collaborative approach, among educators, instructional designers, and academic technologists, represents the future of legal education, preparing students for an AI-transformed profession.
The full paper is available here.
All In: Embedding AI in the Law School Classroom
What is the irreducibly human element in legal education when AI can pass the bar exam, generate effective lectures, and provide personalized learning and academic support? This Article confronts that question head-on by documenting the planning and design of a comprehensive transformation of a required doctrinal law school course—first-year Contracts—with AI fully embedded throughout the course design. Instead of adding AI exercises to conventional pedagogy or creating a stand-alone AI course, this approach reimagines legal education for the AI era by integrating AI as a learning enhancer rather than a threat to be managed. The transformation serves Mitchell Hamline School of Law’s access-driven mission: AI helps create equity for diverse learners, prepares practice-ready professionals for legal practice transformed by AI, and shifts the institutional narrative from policing technology use to leveraging it pedagogically.
This Article details the roadmap I have followed for AI integration in a course that I am teaching in Spring 2026. It documents the beginning of my experience with throwing out the traditional legal education playbook and rethinking how I approach teaching using AI pedagogy within a profession in flux. Part I establishes the pedagogical rationale grounded in learning science and institutional mission. Part II describes the implementation strategy, including partnerships with instructional designers, faculty innovators, and legal technology companies. Part III details a course-wide series of specific exercises that develop AI literacy alongside doctrinal and skill mastery. Part IV addresses legitimate objections about bar preparation, analytical skills, academic integrity, and scalability beyond transactional courses. The Article concludes with a commitment to transparent empirical research through a pilot study launching in Spring 2026, acknowledging both the promise and the uncertainty of this pedagogical innovation. For legal educators grappling with AI’s rapid transformation of both education and practice, this Article offers a mission-driven, evidence-informed, yet still preliminary template for intentional change—and an invitation to experiment, adapt, and share results.
The full paper is available here.
Both are generative and food for thought for all of us experimenting with teaching with AI.