Data-driven law data analytics and the new legal services / edited by Ed Walters.

Other author Walters, Ed (CEO of Fastcase)
Format Electronic
Publication InfoBoca Raton, FL : CRC Press, [2019]
Descriptionxi, 215 pages : illustrations ; 25 cm.
Supplemental ContentFull text available from Taylor & Francis eBooks
Subjects

SeriesData analytics applications series
Data analytics applications. ^A1361679
Contents Introduction : Data Analytics for Law Firms : Using Data for Smarter Legal Services / Ed Walters -- Mining Legal Data : Collecting and Analyzing 21st Century Gold / Kenneth A. Grady -- Deconstructing Contracts : Contract Analytics and Contract Standards / Kingsley Martin -- The Big Move Toward Big Data in Employment / Aaron Crews -- Computational Law, Symbolic Discourse, and the AI Constitution / Stephen Wolfram -- Quantifying Success : Using Data Science to Measure the Accuracy of Technology-Assisted Review in Electronic Discovery / Maura R. Grossman and Gordon V. Cormack -- Quantifying the Quality of Legal Services : Data Science Lessons from Avvo / Nika Kabiri, Ed Sarausad, and Rahul Dodhia -- Uncovering Big Bias with Big Data : An Introduction to Linear Regression / David Colarusso -- Data Mining in the Law Firm : Using Internal Expertise to Drive Decision Making / Kumar Jayasuriya -- Can Intrapreneurship Solve the Innovator's Dilemma? : Law Firm Examples / Bill Henderson.
Abstract Helps legal professionals meet the challenges posed by a data-driven approach to delivering legal services. 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.
General note"An Auerbach book."
Bibliography noteIncludes bibliographical references and index.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Genre/formElectronic books.
LCCN 2018299155
ISBN9781498766654 (hardcover)
ISBNebook

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