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GENERATIVEAIINDISCLOSURE · A GUIDE FOR UK LAWYERS Using Generative AI Responsibly in Electronic Disclosure Prompted Review, Human Verification and Defensibility Under PD 57AD COMPUTER FORENSICS LAB

§ ABOUT THE AUTHOR PREPARED BY COMPUTER FORENSICS LAB E-DISCOVERY TEAM ESTABLISHED 2007 · LONDON ISO 17025-ALIGNED PROCEDURES GENAI-ASSISTED REVIEW WORKFLOW S

§ CONTENTS In this guide 01 Executive summary 02 The problem in plain English: a reader that never tires and some time s invents 03 The guidance landscape: ILTA, the Law Society, the judiciary and Ayinde 04 Where GenAI fits: relevance, privilege, summarisation and redaction support 05 Prompt engineering as methodology: drafting, testing and version in g 06 Verification: sampling AI outputs against human judgement 07 Transparency, data protection and the protocol 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: GENAIREADSANDCHARACTERISESATSCALEUNDER INSTRUCTIONSYOUWRITE: THEINSTRUCTIONSARETESTEDLIKESEARCHTERMS, THE OUTPUTSVERIFIEDLIKEAJUNIOR ' SWORK, ANDTHELAWYERREMAINSACCOUNTABLE FOR ALL OF IT

§ 02 · FIRST PRINCIPLES The problem in plain English: a reader that never tires and some time s invents

§ 03 · THERULESOFTHEROAD The guidance landscape: ILTA, the Law Society, the judiciary and Ayinde