Overview

This state-of-the-art Research Handbook provides an overview of research into, and the scope of current thinking in, the field of big data analytics and the law. It contains a wealth of information to survey the issues surrounding big data analytics in legal settings, as well as legal issues concerning the application of big data techniques in different domains. Featuring contributions from a variety of expert scholars, this is an interdisciplinary dialogue addressing big data analytics, tools and techniques and the societal impact of the field. Chapters analyze both cases anchored in a particular legal system (such as anti-corruption in China) and big data law approaches relevant across multiple practice areas: including machine learning within law, legal information retrieval, natural language processing and e-discovery. It also offers original insights from industry project reports that use big data law techniques in interesting, new ways. Providing a unique and interdisciplinary blend of analysis, this Research Handbook will be a key resource for legal scholars and students researching in areas such as criminal, tax, copyright and administrative law. It will also prove useful for practicing lawyers wanting to get a sense of the legal practice of the future, as well as law-makers thinking about the use of big data law techniques in government policy.

Full Product Details

Author:   Roland Vogl
Publisher:   Edward Elgar Publishing Ltd
Imprint:   Edward Elgar Publishing Ltd
ISBN:  

9781788972819

ISBN 10:   1788972813
Pages:   544
Publication Date:   14 May 2021
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   To order  
Stock availability from the supplier is unknown. We will order it for you and ship this item to you once it is received by us.

Table of Contents

Contents: Introduction to the Research Handbook on Big Data Law 1 Roland Vogl 1 The accuracy, equity, and jurisprudence of criminal risk assessment 9 Sharad Goel, Ravi Shroff, Jennifer Skeem and Christopher Slobogin 2 The many faces of facial recognition 29 Stephen Caines 3 Artificially intelligent government: A review and agenda 57 David Freeman Engstrom and Daniel E. Ho 4 Big data and copyright law 87 Daniel Seng 5 Big data analytics, online terms of service and privacy policies 115 Przemyslaw Palka and Marco Lippi 6 Data analytics and tax law 135 Benjamin Alarie, Anthony Niblett and Albert Yoon 7 Experience of big data anti-corruption in China 150 Ran Wang 8 Machine learning and law: An overview 171 Harry Surden 9 SCOTUS outcome prediction: A new machine learning approach 185 Ashkon Farhangi and Ajay Sohmshetty 10 Legal information retrieval 198 Ashraf Bah Rabiou 11 LexNLP: Natural language processing and information extraction for legal and regulatory texts 216 Michael J. Bommarito II, Daniel Martin Katz and Eric M. Detterman 12 Quantitative legal research in Germany 228 Dirk Hartung 13 Big data analytics for e-discovery 252 Johannes C. Scholtes and Hendrik Jacob van den Herik 14 Generalizability: Machine learning and humans-in-the-loop 284 John Nay and Katherine J. Strandburg 15 The VICTOR Project: Applying artificial intelligence to Brazil's Supreme Federal Court 303 Ricardo Vieira de Carvalho Fernandes, Danilo Barros Mendes, Gustavo Henrique T.A. Carvalho and Hugo Honda Ferreira 16 Explainable artificial intelligence 317 Mary-Anne Williams 17 Explainability and transparency of machine learning in ADM systems 340 Bernhard Waltl 18 Certifying artificial intelligence systems 356 Florian Moeslein and Roberto V. Zicari 19 Rules, cases and arguments in artificial intelligence and law 373 Heng Zheng and Bart Verheij 20 Artificial intelligence and the zealous litigator 388 James Yoon 21 Evaluating legal services: The need for a quality movement and standard measures of quality and value 403 Daniel W. Linna Jr. 22 Machine learning and EU data-sharing practices: Legal aspects of machine learning training datasets for AI systems 431 Mauritz Kop 23 AI-driven contract review: A product development journey 453 Shlomit Labin and Uri Segal 24 Practical guide to artificial intelligence and contract review 466 Andrew Antos and Nischal Nadhamuni 25 Legal marketplaces using machine learning techniques 481 Veronica Sorin and Marti Manent Index

Reviews

'With insights across a spectrum of experts, this Handbook serves as a vital guide for thinking through some of the opportunities and challenges that arise with the use of big data in legal settings.' - Jonathan L. Zittrain, Harvard Law School, US

'With insights across a spectrum of experts, this Handbook serves as a vital guide for thinking through some of the opportunities and challenges that arise with the use of big data in legal settings.' -- Jonathan L. Zittrain, Harvard Law School, US

Author Information

Edited by Roland Vogl, Executive Director and Lecturer in Law, CodeX - The Stanford Center for Legal Informatics, Stanford Law School, US

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