EPISODE · May 12, 2026 · 33 MIN
Can AI Make Lawyers Better? Daniel Schwarcz on AI and Human Legal Reasoning
Can AI help lawyers learn—or does it weaken the skills legal training is meant to build?In this episode, Jen Leonard and Bridget McCormack are joined by Daniel Schwarcz, Fredrikson & Byron Professor of Law at the University of Minnesota Law School, to discuss new empirical research on artificial intelligence and human legal reasoning. Daniel explains a randomized control trial studying how law students used AI to synthesize legal materials, apply legal rules, and revise legal analysis—and why some results surprised even the researchers.In this episode:Why legal training may prepare lawyers to use AI wellWhat the University of Minnesota study tested about AI and legal reasoningWhy AI-assisted students performed better than expectedThe risks of using AI for revision under time pressureWhat law schools and law firms should take away from the research Hosted on Acast. See acast.com/privacy for more information.
What this episode covers
Can AI help lawyers learn—or does it weaken the skills legal training is meant to build?In this episode, Jen Leonard and Bridget McCormack are joined by Daniel Schwarcz, Fredrikson & Byron Professor of Law at the University of Minnesota Law School, to discuss new empirical research on artificial intelligence and human legal reasoning. Daniel explains a randomized control trial studying how law students used AI to synthesize legal materials, apply legal rules, and revise legal analysis—and why some results surprised even the researchers.In this episode:Why legal training may prepare lawyers to use AI wellWhat the University of Minnesota study tested about AI and legal reasoningWhy AI-assisted students performed better than expectedThe risks of using AI for revision under time pressureWhat law schools and law firms should take away from the research Hosted on Acast. See acast.com/privacy for more information.
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Can AI Make Lawyers Better? Daniel Schwarcz on AI and Human Legal Reasoning
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