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Daniel Martin Katz

Researcher at Chicago-Kent College of Law

Publications -  84
Citations -  1663

Daniel Martin Katz is an academic researcher from Chicago-Kent College of Law. The author has contributed to research in topics: Supreme court & Computer science. The author has an hindex of 20, co-authored 77 publications receiving 1215 citations. Previous affiliations of Daniel Martin Katz include Stanford University & Georgia State University.

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Institutional Rules, Strategic Behavior and the Legacy of Chief Justice William Rehnquist: Setting the Record Straight on Dickerson v. United States

TL;DR: In this article, the authors argue that the available evidence supports a strategic explanation for Rehnquist's vote to save the Miranda doctrine in Dickerson v. United States, arguing that a chief justice possesses a unique set of institutional powers that provides significant incentive for him to behave sophisticatedly.
Journal Article

The mit school of law? a perspective on legal education in the 21st century

TL;DR: In this article, the authors present a thought exercise about a hypothetical MIT School of Law, an institution with the type of curriculum that might help prepare students to have the appropriate level of substantive legal expertise and other useful skills that will allow them to deliver value to their clients as well as develop and administer the rules governing markets, politics and society as we move further into the 21st century.
Journal Article

The influence of simulation-based physiology labs taught by anesthesiologists on the attitudes of first-year medical students towards anesthesiology.

TL;DR: Using a survey instrument containing descriptors of different medical specialists and specialties, an improved attitude towards anesthesiology after medical students participated in an anesthesiologist-run simulation-based physiology lab series is found.
Proceedings ArticleDOI

LeXFiles and LegalLAMA: Facilitating English Multinational Legal Language Model Development

TL;DR: This article conducted a detailed analysis on the performance of legal-oriented pre-trained language models and examined the interplay between their original objective, acquired knowledge, and legal language understanding capacities which they defined as the upstream, probing, and downstream performance, respectively.