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Fredrikson & Byron Professor of Law, University of Minnesota Law School Interested in insurance law, regulation & policy and the impact of AI on lawyering. Access my research here: https://papers.ssrn.com/sol3/cf_dev/AbsByAuth.cfm?per_id=499486
Daniel Schwarcz






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Check out this new article in the National Law Review highlighting our new empirical evidence showing that AI use can augment, rather than undermine, human legal reasoning! natlawreview.com/article/does...
It's a really good article. I already referenced it in an interview about changes in legal practice last week! @danielschwarcz.bsky.social and his co-authors did some amazing work here.
this look extremely interesting! to the top of the reading pile
This is a good thoughtful discussion of the paper that I've commented on elsewhere. I think I would characterize the concerns about the use of AI in legal contexts a bit differently than @danielschwarcz.bsky.social does but, as I've also said, this definitely provies interesting data.
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I just posted Ipse Dixit #831, featuring @danielschwarcz.bsky.social discussing his draft article "Artificial Intelligence and Human Legal Reasoning," co-authored with @nicholasbednar.bsky.social David Cleveland & Allan Erbsen. shows.acast.com/ipse-dixit/e...
1mo
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Looking for a 30 minute podcast and interested in empirical evidence on the risks and benefits of AI for the legal profession? Then check out my discussion with @brianlfrye.bsky.social here! shows.acast.com/ipse-dixit/e...
Glad to see that @brianleiter.bsky.social highlighted our article on AI and human legal reasoning: leiterreports.com/2026/04/13/d... For those interested, the full paper is available here: papers.ssrn.com/sol3/papers....
Daniel Schwarcz
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Jerry Levine
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Brian L. Frye
Daniel Schwarcz
Daniel Schwarcz
Since the public release of ChatGPT in 2022, a growing body of empirical research has suggested that generative AI systems could fundamentally reshape the practice of law. Yet many actors across the l...
natlawreview.com
Does AI Make Lawyers Worse at Thinking? New Research Offers a More Complicated Answer