Law as data : computation, text, & the future of legal analysis / Michael A. Livermore, Daniel N. Rockmore, editors.
2019
KF390.5.C6 L393 2019 (Mapit)
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Details
Title
Law as data : computation, text, & the future of legal analysis / Michael A. Livermore, Daniel N. Rockmore, editors.
Added Author
Imprint
Santa Fe, New Mexico : The Santa Fe Institute Press, [2019]
Description
xxx, 490 pages ; illustrations ; 26 cm
Formatted Contents Note
Introduction: from analogue to digital legal scholarship
Distant reading the law / Michael A. Livermore and Daniel N. Rockmore
Big data, machine learning, and the credibility revolution in empirical legal studies / Ryan Copus, Ryan Hübert, and Hannah Laqueur
Text as observational data / Marion Dumas and Jens Frankenreiter
Prediction before inference / Allen Riddell
Style and substance on the US Supreme Court / Keith Carlson, Daniel N. Rockmore, Allen Riddell, Jon Ashley, and Michael A. Livermore
Predicting legislative floor action / Vlad Eidelman, Anastassia Kornilova, and Daniel Argyle
Writing style and legal traditions / Jens Frankenreiter
A computational analysis of California parole suitability hearings / Hannah Lacqueur and Anna Venancio
Analyzing public comments / Vlad Eidelman, Brian Grom, and Michael A. Livermore
Using text analytics to predict litigation outcomes / Charlotte S. Alexander, Khalifeh al Jadda, Mohammad Javad Feizollahi, and Anne M. Tucker
Case vectors: spatial representations of the law using document embeddings / Elliott Ash and Daniel L. Chen
Reference networks and civil codes / Adam B. Badawi and Guiseppe Dari-Mattiacci
Attorney voice and the US Supreme Court / Daniel L. Chen, Yosh Halberstam, Manoj Kumar, and Alan C.L. Yu
Detecting ideology in judicial language / Marion Dumas
Opinion clarity in state and federal trial courts / Adam Feldman
Machine learning and the rule of law / Daniel L. Chen
The law search Turing rest / Michael A. Livermore and Daniel N. Rockmore.
Distant reading the law / Michael A. Livermore and Daniel N. Rockmore
Big data, machine learning, and the credibility revolution in empirical legal studies / Ryan Copus, Ryan Hübert, and Hannah Laqueur
Text as observational data / Marion Dumas and Jens Frankenreiter
Prediction before inference / Allen Riddell
Style and substance on the US Supreme Court / Keith Carlson, Daniel N. Rockmore, Allen Riddell, Jon Ashley, and Michael A. Livermore
Predicting legislative floor action / Vlad Eidelman, Anastassia Kornilova, and Daniel Argyle
Writing style and legal traditions / Jens Frankenreiter
A computational analysis of California parole suitability hearings / Hannah Lacqueur and Anna Venancio
Analyzing public comments / Vlad Eidelman, Brian Grom, and Michael A. Livermore
Using text analytics to predict litigation outcomes / Charlotte S. Alexander, Khalifeh al Jadda, Mohammad Javad Feizollahi, and Anne M. Tucker
Case vectors: spatial representations of the law using document embeddings / Elliott Ash and Daniel L. Chen
Reference networks and civil codes / Adam B. Badawi and Guiseppe Dari-Mattiacci
Attorney voice and the US Supreme Court / Daniel L. Chen, Yosh Halberstam, Manoj Kumar, and Alan C.L. Yu
Detecting ideology in judicial language / Marion Dumas
Opinion clarity in state and federal trial courts / Adam Feldman
Machine learning and the rule of law / Daniel L. Chen
The law search Turing rest / Michael A. Livermore and Daniel N. Rockmore.
Summary
"In recent years, the digitization of legal texts and developments in the fields of statistics, computer science, and data analytics have opened entirely new approaches to the study of law. This volume explores the new field of computational legal analysis, an approach marked by its use of legal texts as data. The emphasis herein is work that pushes methodological boundaries, either by using new tools to study longstanding questions within legal studies or by identifying new questions in response to developments in data availability and analysis. By using the text and underlying data of legal documents as the direct objects of quantitative statistical analysis, [this book] introduces the legal world to the broad range of computational tools already proving themselves relevant to law scholarship and practice, and highlights the early steps in what promises to be an exciting new approach to studying the law."-- Provided by publisher.
Bibliography, etc. Note
Includes bibliographical references.
Call Number
KF390.5.C6 L393 2019
Language
English
ISBN
9781947864139 (hardcover)
1947864130 (hardcover)
9781947864085 (paperback)
1947864084 (paperback)
1947864130 (hardcover)
9781947864085 (paperback)
1947864084 (paperback)
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