David S. Kemp
Legal Education & Access Innovator
Democratizing law through teaching, technology, and open access.
Learn More
Legal Education & Access Innovator
Democratizing law through teaching, technology, and open access.
Learn MoreDavid S. Kemp is the managing editor of Oyez and Justia’s Verdict and an adjunct professor at Rutgers Law School. He teaches lawyering skills courses including Legal Analysis, Writing, and Research Skills; Advanced Legal Writing; Generative AI Skills for Lawyers; Professional Responsibility; and Critical Legal Analysis (an academic success course).
He is committed to increasing public and student access to legal education—through improving information design, breaking down institutional and financial barriers, and developing effective and inclusive teaching methods.
His research and teaching focus on the intersection of legal writing and artificial intelligence, exploring how generative AI can enhance legal practice and education while maintaining the highest standards of professional and academic ethics. He supports teaching students to use generative AI responsibly both in and beyond the law school classroom and has taught numerous generative AI courses to law students, law faculty, and legal practitioners.
First-year and advanced legal research, analysis, and writing
Research and application of AI technologies in legal practice and education
Ethics instruction and guidance for law students, including ethical use of AI
Comprehensive support for law students and bar preparation
This article explores how generative artificial intelligence (AI) is transforming legal education, legal practice, and law schools’ responsibilities in preparing students for an AI-integrated profession. It advocates for incorporating AI into law school pedagogy, administration, and scholarship, while addressing ethical, practical, and educational concerns. Ultimately, it calls for legal education standards to evolve by equipping students with both foundational legal skills and the capacity to collaborate effectively with AI.
AI now devours electricity, water, and hardware at industrial scale, yet environmental governance remains fragmentary. Drawing on the United States’ recycling experience, this article shows how voluntarism, misaligned incentives, and the absence of efficiency rewards already haunt AI’s embodied, training, and inference phases, rendering today’s pledges and standards mere high-volume, low-effect theater. It proposes mandatory lifecycle disclosures, resource-weighted fees, extended producer responsibility, and incentives for low-resource models to turn ecological liability into competitive advantage and keep AI within planetary boundaries.
Many regard iatrogenic injuries as consequences of diagnosis or intervention actions. But inaction-not offering indicated major surgery-can also result in iatrogenic injury. This article explores some surgeons' overestimations of operative risk based on patients' race and socioeconomic status as unduly influential in their decisions about whether to perform major cancer or cardiac surgery on some patients with appropriate clinical indications. This article also considers artificial intelligence and machine learning-based clinical decision support systems that might offer more accurate, individualized risk assessment that could make patient selection processes more equitable, thereby mitigating racial and ethnic inequity in cancer and cardiac disease. (Charles E. Binkley and Brandi Braud Scully, co-authors)
Generative artificial intelligence tools like ChatGPT can effectively complement conventional methods of learning in law school and can push law students (and their instrutors) to think critically and creatively about the future of legal practice. This article predicts that generative AI is poised to revolutionize the practice of law and argues that forward-looking law educators should embrace the technology to best position their students to succeed today and tomorrow.
A four-session series for Rutgers Law School faculty, 2025. Session 1: Using AI to Draft and Review Hypos/Problems; Session 2: AI Assistance with Recommendation and Clerkship Letters; Session 3: AI for Studying; Session 4: AI in Writing Courses / Supervising Student Notes.
A CLE presentation for the State Bar of Wisconsin, 2024.
A presentation for the State Bar of Wisconsin’s Annual Meeting and Conference, 2024.
A presentation for the State Bar of Wisconsin’s Annual Meeting and Conference, 2024. (Hon. Scott Schlegel, co-presenter)
Download my complete CV to learn more about my academic background, professional experience, and research contributions.
Download CV