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TECHNOLOGY - ASSISTED REVIEW · A GUIDE FOR UK LAWYERS Technology-Assisted Review for UK Lawyers Predictive Coding, Continuous Active Learning and Defending the Machine's Judgement COMPUTER FORENSICS LAB

§ ABOUT THE AUTHOR PREPARED BY COMPUTER FORENSICS LAB E-DISCOVERY TEAM VALIDATION STATISTICS CPR PART 35 EXPERT REPORT S FULL CHAIN-OF-CUSTODY DOCUMENTATION

§ CONTENTS In this guide 01 Executive summary 02 The problem in plain English: teaching a machine what relevant looks like 03 How TAR works: models, training and the two generations 04 The human layer: seeds, subject-matter reviewers and consistency 05 Validation: recall, precision and the stopping decision 06 TAR in the protocol: disclosure, negotiation and the courts 07 TAR in the tool chain: keywords, threading and privilege 08 Source architecture: where else the evidence lives 09 Worked examples 10 Common mistakes and technical limitations 11 Questions to ask · Suggested wording 12 Checklist and red flags · When to involve a digital forensic expert 13 Frequently asked questions 14 Glossary · References · Disclaimer · How a specialist laboratory can assist

§ 01 · ORIENTATION Executive summary THE HEADLINE POINT: TARISHUMANJUDGEMENTAMPLIFIEDBYRANKING: ITS DEFENSIBILITYISTHETRAININGRECORDPLUSTHEVALIDATIONSTATISTICS, ANDBOTH AREBUILT, NOTASSUMED

§ 02 · FIRST PRINCIPLES The problem in plain English: teaching a machine what relevant looks like

§ 03 · THEMACHINERY How TAR works: models, training and the two generations