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Data-driven law = data analytics and the new legal services /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Data-driven law/ edited by Ed Walters.
其他題名:	data analytics and the new legal services /
其他題名:	Data analytics and the new legal services
其他作者:	Walters, Edward J.
出版者:	Boca Raton, FL :CRC Press, Taylor & Francis Group, : c2019.,
面頁冊數:	1 online resource (227 p.) :ill. :
附註:	Includes index.
標題:	Big data. -
電子資源:	https://www.taylorfrancis.com/books/9780429469879
ISBN:	9780429469879

Data-driven law = data analytics and the new legal services /
Data-driven lawdata analytics and the new legal services /[electronic resource] :Data analytics and the new legal servicesedited by Ed Walters. - 1st ed. - Boca Raton, FL :CRC Press, Taylor & Francis Group,c2019. - 1 online resource (227 p.) :ill. - Data analytics applications. - Data analytics applications..

Includes index.

Chapter 1 Introduction: Data Analytics for Law Firms --Ed Walters --

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 dataComputational lawUncovering bias through the use of Big DataQuantifying the quality of legal servicesData mining and decision-makingContract 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.

ISBN: 9780429469879Subjects--Topical Terms:

981821
Big data.

LC Class. No.: QA76.9.B45

Dewey Class. No.: 005.7

Data-driven law = data analytics and the new legal services /
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500 $a Includes index.
500 $a "An Auerbach book"--title page.
505 0 0 $t Chapter 1 Introduction: Data Analytics for Law Firms -- $t Using Data for Smarter Legal Services / $r Ed Walters -- $t chapter 2 Mining Legal Data: Collecting and Analyzing 21st Century Gold / $r A. Grady Kenneth -- $t chapter 3 Deconstructing Contracts: Contract Analytics and Contract Standards / $r Kingsley Martin -- $t chapter 4 The Big Move Toward Big Data in Employment / $r Aaron Crews -- $t chapter 5 Computational Law, Symbolic Discourse, and the AI Constitution / $r Stephen Wolfram -- $t chapter 6 Quantifying Success: Using Data Science to Measure the Accuracy of Technology-Assisted Review in Electronic Discovery / $r R. Grossman Maura V. Cormack Gordon -- $t chapter 7 Quantifying the Quality of Legal Services: Data Science Lessons from Avvo / $r Nika Kabiri Ed Sarausad Rahul Dodhia -- $t chapter 8 Uncovering Big Bias with Big Data: An Introduction to Linear Regression / $r David Colarusso -- $t chapter 9 Data Mining in the Law Firm: Using Internal Expertise to Drive Decision Making / $r Kumar Jayasuriya -- $t chapter 10 Can Intrapreneurship Solve the Innovator's Dilemma? Law Firm Examples / $r Bill Henderson.
520 3 $a 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 dataComputational lawUncovering bias through the use of Big DataQuantifying the quality of legal servicesData mining and decision-makingContract 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.
588 $a Description based on print version record.
650 0 $a Big data. $3 981821
650 0 $a Electronic data processing. $3 674987
650 0 $a Electronic discovery (Law) $3 908875
650 0 $a Information storage and retrieval systems $x Law. $3 671703
700 1 $a Walters, Edward J. $3 1311693
830 0 $a Data analytics applications. $3 1311694
856 4 0 $u https://www.taylorfrancis.com/books/9780429469879