| Dedication |
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iii | |
| Foreword |
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v | |
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| Editors' Note |
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xv | |
| Introduction |
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xvii | |
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SEARCHING FOR ESI: SOME PRELIMINARY PERSPECTIVES |
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1 | (58) |
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Chapter 1 The Road to Predictive Coding: Limitations on the Defensibility of Manual and Keyword Searching |
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5 | (30) |
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Chapter 2 The Emerging Acceptance of Technology-Assisted Review in Civil Litigation |
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35 | (24) |
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PRACTITIONER PERSPECTIVES |
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59 | (262) |
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Chapter 3 A Tour of Technology-Assisted Review |
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63 | (32) |
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Chapter 4 The Mechanics of a Predictive Coding Workflow |
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95 | (12) |
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Chapter 5 Reflections on the Cormack and Grossman SIGIR Study: The Folly of Using Random Search for Machine Training |
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107 | (38) |
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Chapter 6 TAR for the Small and Medium Case |
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145 | (22) |
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Chapter 7 Reality Bites: Why TAR's Promises Have Yet to Be Fulfilled |
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167 | (36) |
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Chapter 8 Predictive Coding from the Defense Perspective: Issues and Challenges |
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203 | (24) |
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Chapter 9 Safeguarding the Seed Set: Why Seed Set Documents May Be Entitled to Work-Product Protection |
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227 | (42) |
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Chapter 10 Experts on Computer-Assisted Review: Why Federal Rule of Evidence 702 Should Apply to Their Use |
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269 | (26) |
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Chapter 11 License to Cull: Two-Filter Document Culling Method That Uses Predictive Coding and Other Search Tools |
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295 | (26) |
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INFORMATION RETRIEVAL PERSPECTIVES; E-DISCOVERY STANDARDS |
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321 | (142) |
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Chapter 12 Defining and Estimating Effectiveness in Document Review |
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325 | (32) |
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Chapter 13 Metrics in Predictive Coding |
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357 | (18) |
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Chapter 14 On the Place of Measurement in E-Discovery |
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375 | (44) |
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Chapter 15 A Modest Proposal for Preventing e-Discovery Standards from Being a Burden to Practitioners, Clients, the Courts, or Common Sense |
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419 | (44) |
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463 | (108) |
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Chapter 16 Algorithms at the Gate: Leveraging Predictive Analytics in Mergers, Acquisitions, and Divestitures |
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467 | (22) |
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Chapter 17 The Larger Picture: Moving Beyond Predictive Coding for Document Productions to Predictive Analytics for Information Governance |
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489 | (18) |
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Chapter 18 Predictive Analytics for Information Governance in a Law Firm: Mitigating Risks and Optimizing Efficiency |
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507 | (18) |
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Chapter 19 Finding the Signal in the Noise: Information Governance, Analytics, and the Future of Legal Practice |
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525 | (32) |
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Chapter 20 Preparing for the Near Future: Deep Learning and Law |
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557 | (14) |
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| Appendix: The Grossman-Cormack Glossary of Technology-Assisted Review |
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571 | (36) |
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| Editor and Author Bios |
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607 | (22) |
| Table of Cases |
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629 | (10) |
| Index |
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639 | |
