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Computational Legal Studies

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Computational Legal Studies

The Promise and Challenge of Data-Driven Research

9781788977449 Edward Elgar Publishing
Edited by Ryan Whalen, Assistant Professor, Faculty of Law, National University of Singapore
Publication Date: September 2020 ISBN: 978 1 78897 744 9 Extent: c 352 pp
Featuring contributions from a diverse set of experts, this thought-provoking book offers a visionary introduction to the computational turn in law and the resulting emergence of the computational legal studies field. It explores how computational data creation, collection and analysis techniques are transforming the way in which we comprehend and study the law, and the implications that this has for the future of legal studies.

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Critical Acclaim
Contributors
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Computational Legal Studies offers a visionary introduction to the computational turn in law and the resulting emergence of the computational legal studies field. It explores how computational data creation, collection and analysis techniques are transforming the way in which we comprehend and study the law, and the implications that this has for the future of legal studies.

Featuring contributions from a diverse set of experts, this thought-provoking book considers the implications of computationally enabled research and the future trajectory of the field. It discusses how technological, scientific and methodological developments are not only making the traditional practice of law more efficient but are also creating new perspectives on the law and shaping how we understand it. Chapters draw on a range of examples of computational legal research to demonstrate how a wide variety of research methods, including natural language processing, machine learning, agent-based modelling, and network analysis, are transforming the relationship between law and computation.

This book will prove to be a stimulating read for legal academics looking for a better understanding of this emerging field and for law students interested in new legal research techniques. It will also be a valuable resource for legal firms and computational social scientists interested in examining how law is adopting computational methods.
Critical Acclaim
‘This book situates computational analysis of law among overlapping research areas and deepens one’s sense of the field as vitally distinct. The field is equally transnational and transubstantive, and the legal texts of interest are transmodal (spanning cases, statutes, administrative regulations, and much else). Each chapter reflects all those rich variations, while also highlighting the field’s core methods. It is, and will continue to be, an important reference volume for those who hope to produce or consume the best computational legal studies.’
– Joseph Scott Miller, University of Georgia, School of Law, US

‘Long overdue and perfectly timed, this book connects daring ideas with cutting-edge research methods to examine legal developments and legal practices. It is an indispensable companion for those who are interested in the fast-developing world of computational techniques that change the way we understand and practice law. It provides a vital tool to those who wish to explore the basics, the developments, the novelty, the variety, and the implications of these techniques for the new legal and social reality.’
– Urska Šadl, European University Institute, Italy
Contributors
Contributors include: C.S. Alexander, W. Alschner, E. Ash, K.D. Ashley, J. Beckerdorf, D. Behn, D. Chen, M. Esmark, M.J. Feizollahi, P. Gowder, D. Hartung, M. Langford, R. Lie, J.Z. Liu, M.A. Livermore, N. Mainali, L. Meier, H. Palmer Olsen, J.W. Penney, M. Schaper, A. Schwartz, P. Sittig, N. Suzor, Y. Tang, G. van Dijck, D. van Kuppevelt, N. Varsava
Contents
Table of Contents

List of Contributors

The Emergence of Computational Legal Studies—An Introduction
Ryan Whalen

1. Sense and Similarity: Automating Legal Text Comparison
Wolfgang Alschner

2. Computational Legal Studies, Digital Humanities, and Textual Analysis
Nina Varsava

3. Machine Learning and Stylometry: Predicting the Authorship of Investment Treaty AwardsStylometric Analysis with Machine Learning: The Case of Investment Treaty Arbitration
Malcolm Langford, Daniel Behn and Runar Lie

4. Automated Classification of Modes of Moral Reasoning in Judicial Decisions
Nischal Mainali, Liam Meier, Elliott Ash, and Daniel Chen

5. On Dragons, Caves, Teeth, and Claws: Legal Analytics and the Problem of Court Data Access
Charlotte S. Alexander and Mohammad Javad Feizollahi

6. Computational Legal Studies in China: Progress, Challenges, and Future
Yingmao Tang and John Zhuang Liu

7. Measuring Surveillance Chill and Other Regulatory Impacts at Scale
Jonathon W. Penney

8. Understanding content moderation systems: new methods to understand internet governance at scale, over time, and across platforms
Nicolas Suzor

9. Accounting for Legal Values
Kevin D. Ashley

10. Is Legal Cognition Computational? (When Will DeepVehicle Replace Judge Hercules?)
Paul Gowder

11. Rule by Rules
Michael A. Livermore

12. Purposes and Challenges of Legal Citation Network Analysis on Case Law
Dafne van Kuppevelt, Gijs van Dijck, and Marcel Schaper

13. Needles in a haystack: Using network analysis to identify cases that are cited for general principles of law by the European Court of Human Rights
Henrik Palmer Olsen and Magnus Esmark

14. Agent-Based Modeling for Legal Studies
Alex Schwartz

15. Analyzing high volumes of German court decisions in an interdisciplinary class of law and computer science students
Janis Beckedorf, Dirk Hartung, and Phillip Sittig

This title is available for institutional purchase via Elgaronline.

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