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A Small But Mighty Docket: Select Criminal Law And Procedure Cases From The Supreme Court's 2019-20 Term, Eve Brensike Primus, Jeremy Shur Sep 2020

A Small But Mighty Docket: Select Criminal Law And Procedure Cases From The Supreme Court's 2019-20 Term, Eve Brensike Primus, Jeremy Shur

Articles

With its 2019-20 Term disrupted by the COVID-19 pandemic, the Supreme Court released just 53 signed decisions, the fewest decisions in a Term since the Civil War. But the Court's lighter docket still featured important criminal law and procedure cases touching on what constitutes reasonable individualized suspicion, the necessity of jury unanimity, and the proper form of the insanity defense.


Mapping The Iceberg: The Impact Of Data Sources On The Study Of District Courts, Christina L. Boyd, Pauline T. Kim, Margo Schlanger Aug 2020

Mapping The Iceberg: The Impact Of Data Sources On The Study Of District Courts, Christina L. Boyd, Pauline T. Kim, Margo Schlanger

Articles

Three decades ago, Siegelman and Donohue aptly characterized research about courts and litigation that relied only on published opinions as “studying the iceberg from its tip.” They implored researchers to view published district court opinions “with greater sensitivity to the ways in which such cases are unrepresentative of all cases”. The dynamic, multistage nature of trial court litigation makes a focus solely on published opinions particularly ill-suited to the study of federal district courts. Expanded electronic access to court documents now allows more pre-cise analysis of the ways in which published cases are unrepresentative and what differences that makes for …


Does Ai Hold The Keys? Bloomberg Law’S Docket Key Unlocks Federal District Courts, Rachel S. Evans Feb 2020

Does Ai Hold The Keys? Bloomberg Law’S Docket Key Unlocks Federal District Courts, Rachel S. Evans

Articles, Chapters and Online Publications

Evans shares a review of Bloomberg Law's newly expanded docket search "Docket Key" by providing a brief intro to docket searching and explaining the type of AI-machine learning at work in the product.

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