Computational Legal Studies - The Promise and Challenge of Data-Driven Research (Hardcover)

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.

General

Imprint:	Edward Elgar Publishing Ltd
Country of origin:	United Kingdom
Series:	Elgar Studies in Legal Research Methods
Release date:	September 2020
Editors:	Ryan Whalen
Dimensions:	234 x 156 x 26mm (L x W x T)
Format:	Hardcover
Pages:	384
ISBN-13:	978-1-78897-744-9
Categories:	Books > Reference & Interdisciplinary > Communication studies > Research methods Books > Computing & IT > Social & legal aspects of computing > General Books > Law > Laws of other jurisdictions & general law > Financial, taxation, commercial, industrial law > Communications law
LSN:	1-78897-744-0
Barcode:	9781788977449

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