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Ed. Walters - Data-Driven Law: Data Analytics and the New Legal Services

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Ed. Walters Data-Driven Law: Data Analytics and the New Legal Services
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For increasingly data-savvy clients, lawyers can no longer give it depends answers rooted in anecdata. Clients insist that their lawyers justify their reasoning, and with more than a limited set of war stories. The considered judgment of an experienced lawyer is unquestionably valuable. However, on balance, clients would rather have the considered judgment of an experienced lawyer informed by the most relevant information required to answer their questions.Data-Driven Law: Data Analytics and the New Legal Services helps legal professionals meet the challenges posed by a data-driven approach to delivering legal services. Its chapters are written by leading experts who cover such topics as: Mining legal data Computational law Uncovering bias through the use of Big Data Quantifying the quality of legal services Data mining and decision-making Contract analytics and contract standardsIn addition to providing clients with data-based insight, legal firms can track a matter with data from beginning to end, from the marketing spend through to the type of matter, hours spent, billed, and collected, including metrics on profitability and success. Firms can organize and collect documents after a matter and even automate them for reuse. Data on marketing related to a matter can be an amazing source of insight about which practice areas are most profitable.Data-driven decision-making requires firms to think differently about their workflow. Most firms warehouse their files, never to be seen again after the matter closes. Running a data-driven firm requires lawyers and their teams to treat information about the work as part of the service, and to collect, standardize, and analyze matter data from cradle to grave. More than anything, using data in a law practice requires a different mindset about the value of this information. This book helps legal professionals to develop this data-driven mindset.

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Data-Driven Law

Data Analytics Applications

Series Editor: Jay Liebowitz

PUBLISHED

Actionable Intelligence for Healthcare
by Jay Liebowitz and Amanda Dawson
ISBN: 978-1-4987-6665-4

Analytics and Knowledge Management
by Suliman Hawamdeh and Hsia-Ching Chang
ISBN 978-1-1386-3026-0

Big Data Analytics in Cybersecurity
by Onur Savas and Julia Deng
ISBN: 978-1-4987-7212-9

Big Data and Analytics Applications in Government: Current Practices and Future Opportunities
by Gregory Richards
ISBN: 978-1-4987-6434-6

Big Data in the Arts and Humanities: Theory and Practice
by Giovanni Schiuma and Daniela Carlucci
ISBN 978-1-4987-6585-5

Data Analytics Applications in Education
by Jan Vanthienen and Kristoff De Witte
ISBN: 978-1-4987-6927-3

Data Analytics Applications in Latin America and Emerging Economies
by Eduardo Rodriguez
ISBN: 978-1-4987-6276-2

Data Analytics for Smart Cities
by Amir Alavi and William G. Buttlar
ISBN 978-1-138-30877-0

Data-Driven Law: Data Analytics and the New Legal Services
by Edward J. Walters
ISBN 978-1-4987-6665-4

Intuition, Trust, and Analytics
by Jay Liebowitz, Joanna Paliszkiewicz, and Jerzy Gouchowski
ISBN: 978-1-138-71912-5

Research Analytics: Boosting University Productivity and Competitiveness through Scientometrics
by Francisco J. Cant-Ortiz
ISBN: 978-1-4987-6126-0

Sport Business Analytics: Using Data to Increase Revenue and Improve Operational Efficiency
by C. Keith Harrison and Scott Bukstein
ISBN: 978-1-4987-8542-6

Data-Driven Law

Data Analytics and the New Legal Services

Edited by

Ed Walters

CRC Press Taylor Francis Group 6000 Broken Sound Parkway NW Suite 300 Boca - photo 1

CRC Press

Taylor & Francis Group

6000 Broken Sound Parkway NW, Suite 300

Boca Raton, FL 33487-2742

2019 by Taylor & Francis Group, LLC

CRC Press is an imprint of Taylor & Francis Group, an Informa business

No claim to original U.S. Government works

Printed on acid-free paper

International Standard Book Number-13: 978-1-4987-6665-4 (Hardback)

This book contains information obtained from authentic and highly regarded sources. Reasonable efforts have been made to publish reliable data and information, but the author and publisher cannot assume responsibility for the validity of all materials or the consequences of their use. The authors and publishers have attempted to trace the copyright holders of all material reproduced in this publication and apologize to copyright holders if permission to publish in this form has not been obtained. If any copyright material has not been acknowledged please write and let us know so we may rectify in any future reprint.

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Contents

ED WALTERS

KENNETH A. GRADY

KINGSLEY MARTIN

AARON CREWS

STEPHEN WOLFRAM

MAURA R. GROSSMAN AND GORDON V. CORMACK

NIKA KABIRI, ED SARAUSAD, AND RAHUL DODHIA

DAVID COLARUSSO

KUMAR JAYASURIYA

BILL HENDERSON

Ed Walters is the CEO of Fastcase, a legal publishing company based in Washington, D.C. He is an adjunct professor at the Georgetown University Law Center and at Cornell Tech, where he teaches The Law of Robots. Before founding Fastcase, he worked at Covington & Burling in Washington and Brussels, and in The White House from 1991 to 1993 in the Office of Media Affairs and the Office of Presidential Speechwriting.

David Colarusso is the director of Suffolk University Law Schools Legal Innovation and Technology Lab. An attorney and educator by training, he has worked as a public defender, data scientist, software engineer, and high school physics teacher. He is the author of a programming language for lawyers, QnA Markup, an award-winning legal hacker, an ABA Legal Rebel, and a Fastcase 50 honoree.

Gordon Cormack is a professor in the David R. Cheriton School of Computer Science at the University of Waterloo. He is a program committee member of the National Institute of Standards and Technologys Text Retrieval Conference and has served as coordinator of the TREC Spam, Legal, and Total Recall tracks. He is the coauthor of Information Retrieval: Implementing and Evaluating Search Engines (MIT Press, 2010, 2016) and more than 100 scholarly articles.

Rahul Dodhia trained as a cognitive scientist and statistician at Columbia University. After three years at NASA, he joined the tech industry and has worked as a data scientist at both startups and giants such as Amazon and Microsoft.

Aaron Crews serves as chief data analytics officer for Littler, where he manages the operations of Littlers data analytics practice. In the role, he leads the development of technology solutions that provide value to firm clients and uses data analytics tools to facilitate process efficiency. Aaron served as general counsel and vice president of strategy at artificial intelligence developer TextIQ, and as senior associate general counsel and global head of eDiscovery for Walmart.

Ken Grady is an adjunct professor at the Michigan State University College of Law focusing on increasing access to justice and improving application of the rule of law. He employs tools ranging from process improvement to artificial intelligence in new models for developing law and delivering legal services. He previously served as CEO of SeyfarthLean Consulting and as Lean Law Evangelist at Seyfarth Shaw LLP, where he worked with organizations around the world to provide innovative strategic support for General Counsel and in-house legal departments.

Maura R. Grossman, JD, PhD, is a research professor in the David R. Cheriton School of Computer Science at the University of Waterloo in Ontario and principal of Maura Grossman Law in New York. She also is an adjunct professor both at Osgoode Hall Law School and the Georgetown University Law Center. Previously, she was an of counsel at Wachtell, Lipton, Rosen and Katz. She is most well known for her influential work on technology-assisted review.

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