Computational Legal Studies

The Promise and Challenge of Data-Driven Research

Buch | Hardcover

384 Seiten

2020
Edward Elgar Publishing Ltd (Verlag)
978-1-78897-744-9 (ISBN)

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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.

Edited by Ryan Whalen, Faculty of Law, University of Hong Kong

Contents:

The emergence of computational legal studies: an introduction 1
Ryan Whalen
1 Sense and similarity: automating legal text comparison 9
Wolfgang Alschner
2 Computational legal studies, digital humanities, and textual
analysis 29
Nina Varsava
3 Computational stylometry: predicting the authorship of
investment treaty awards 53
Malcolm Langford, Daniel Behn and Runar Lie
4 Automated classification of modes of moral reasoning in
judicial decisions 77
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 95
Charlotte S. Alexander and Mohammad Javad Feizollahi
6 Computational legal studies in China: progress, challenges,
and future 124
Yingmao Tang and John Zhuang Liu
7 Measuring surveillance chill and other regulatory impacts at
scale 146
Jonathon W. Penney
8 Understanding content moderation systems: new methods to
understand internet governance at scale, over time, and across
platforms 166
Nicolas Suzor
9 Accounting for legal values 190
Kevin D. Ashley
10 Is legal cognition computational? (When will DeepVehicle
replace Judge Hercules?) 215
Paul Gowder
11 Rule by rules 238
Michael A. Livermore
12 Purposes and challenges of legal citation network analysis on
case law 265
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 293
Henrik Palmer Olsen and Magnus Esmark
14 Agent-based modeling for legal studies 312
Alex Schwartz
15 Analyzing high volumes of German court decisions in an
interdisciplinary class of law and computer science students 328
Janis Beckedorf, Dirk Hartung and Phillip Sittig

Index 345

Erscheinungsdatum	18.09.2020
Reihe/Serie	Elgar Studies in Legal Research Methods
Verlagsort	Cheltenham
Sprache	englisch
Maße	156 x 234 mm
Themenwelt	Sonstiges ► Geschenkbücher
	Recht / Steuern ► EU / Internationales Recht
	Recht / Steuern ► Privatrecht / Bürgerliches Recht ► IT-Recht
ISBN-10	1-78897-744-0 / 1788977440
ISBN-13	978-1-78897-744-9 / 9781788977449
Zustand	Neuware