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109 Minn. L. Rev. 147 (2024-2025)
Lawyering in the Age of Artificial Intelligence

handle is hein.journals/mnlr109 and id is 147 raw text is: Article Lawyering in the Age of Artificial Intelligence Jonathan H. Choi,t Amy B. Monahan,tt and Daniel Schwarczttt We conducted the first randomized controlled trial to study the effect of AI assistance on human legal analysis. We randomly assigned law school students to complete realistic legal tasks ei- ther with or without the assistance of GPT-4, tracking how long the students took on each task and blind-grading the results. We found that access to GPT-4 only slightly and inconsist- ently improved the quality of participants' legal analysis but in- duced large and consistent increases in speed. AI assistance im- proved the quality of output unevenly where it was useful at all, the lowest-skilled participants saw the largest improvements. On the other hand, AI assistance saved participants roughly the same amount of time regardless of their baseline speed. In follow- up surveys, participants reported increased satisfaction from t Professor of Law, University of Southern California Gould School of Law. tt Distinguished McKnight University Professor and Melvin C. Steen Pro- fessor, University of Minnesota Law School. ttt Fredrikson & Byron Professor of Law, University of Minnesota Law School. For their feedback, we thank David Abrams, Ben Alarie, Paul Connell, Kristin Hickman, David Hoffman, Michael Morse, Anthony Niblett, Jed Stiglitz, Eric Talley, and the participants at the Mitchell Hamline Faculty Workshop, the University of Pennsylvania Law and Economics Seminar, the Southern Methodist University Conference on ChatGPT, the University of Toronto Law School Faculty Workshop, the Harvard Law School Legal Profession Seminar, and the Duke Law School Faculty Workshop. This research was supported by the Kommerstad Faculty Imagination Fund at the University of Minnesota Law School. Copyright © 2024 by Jonathan H. Choi, Amy B. Monahan, and Daniel Schwarez. 147

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