Data-driven law : (Record no. 4616)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 04553nam a2200421Ii 4500 |
| 001 - CONTROL NUMBER | |
| control field | 9780429469879 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 180813s2018 fluab ob 001 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9780429469879 |
| Qualifying information | (e-book : PDF) |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | (OCoLC)1045562669 |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | FlBoTFG |
| Transcribing agency | FlBoTFG |
| Description conventions | rda |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | QA76.9.B45 |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | COM |
| Subject category code subdivision | 021000 |
| Source | bisacsh |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | COM |
| Subject category code subdivision | 021030 |
| Source | bisacsh |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | LAW |
| Subject category code subdivision | 026000 |
| Source | bisacsh |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | UN |
| Source | bicscc |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 005.7 |
| Edition number | 23 |
| 245 00 - TITLE STATEMENT | |
| Title | Data-driven law : |
| Remainder of title | data analytics and the new legal services / |
| Statement of responsibility, etc. | edited by Edward J. Walters. |
| 250 ## - EDITION STATEMENT | |
| Edition statement | First edition. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Place of production, publication, distribution, manufacture | Boca Raton, FL : |
| Name of producer, publisher, distributor, manufacturer | Auerbach Publications, an imprint of Taylor and Francis, |
| Date of production, publication, distribution, manufacture, or copyright notice | 2018. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 1 online resource (227 pages) : |
| Other physical details | 30 illustrations. |
| 336 ## - CONTENT TYPE | |
| Content type term | text |
| Source | rdacontent |
| 337 ## - MEDIA TYPE | |
| Media type term | computer |
| Source | rdamedia |
| 338 ## - CARRIER TYPE | |
| Carrier type term | online resource |
| Source | rdacarrier |
| 490 1# - SERIES STATEMENT | |
| Series statement | Routledge library editions. welfare and the state |
| 505 00 - FORMATTED CONTENTS NOTE | |
| Title | chapter 1 Introduction: Data Analytics for Law Firms -- |
| -- | Using Data for Smarter Legal Services / |
| Statement of responsibility | Ed Walters -- |
| Title | chapter 2 Mining Legal Data: Collecting and Analyzing 21st Century Gold / |
| Statement of responsibility | A. Grady Kenneth -- |
| Title | chapter 3 Deconstructing Contracts: Contract Analytics and Contract Standards / |
| Statement of responsibility | Kingsley Martin -- |
| Title | chapter 4 The Big Move Toward Big Data in Employment / |
| Statement of responsibility | Aaron Crews -- |
| Title | chapter 5 Computational Law, Symbolic Discourse, and the AI Constitution / |
| Statement of responsibility | Stephen Wolfram -- |
| Title | chapter 6 Quantifying Success: Using Data Science to Measure the Accuracy of Technology-Assisted Review in Electronic Discovery / |
| Statement of responsibility | R. Grossman Maura V. Cormack Gordon -- |
| Title | chapter 7 Quantifying the Quality of Legal Services: Data Science Lessons from Avvo / |
| Statement of responsibility | Nika Kabiri Ed Sarausad Rahul Dodhia -- |
| Title | chapter 8 Uncovering Big Bias with Big Data: An Introduction to Linear Regression / |
| Statement of responsibility | David Colarusso -- |
| Title | chapter 9 Data Mining in the Law Firm: Using Internal Expertise to Drive Decision Making / |
| Statement of responsibility | Kumar Jayasuriya -- |
| Title | chapter 10 Can Intrapreneurship Solve the Innovator’s Dilemma? Law Firm Examples / |
| Statement of responsibility | Bill Henderson. |
| 520 3# - SUMMARY, ETC. | |
| Summary, etc. | 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. |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | COMPUTERS / Database Management / Data Mining. |
| Source of heading or term | bisacsh |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | LAW / Criminal Law / General. |
| Source of heading or term | bisacsh |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Big data. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Electronic data processing. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Electronic discovery (Law) |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Information storage and retrieval systems |
| General subdivision | Law. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Walters, Edward J., |
| Relator term | editor. |
| 710 2# - ADDED ENTRY--CORPORATE NAME | |
| Corporate name or jurisdiction name as entry element | Taylor and Francis. |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Relationship information | Print version: |
| International Standard Book Number | 9781498766654 |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
| Uniform title | Data analytics applications series. |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="https://www.taylorfrancis.com/books/9780429469879">https://www.taylorfrancis.com/books/9780429469879</a> |
| Public note | Click here to view. |
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