Using Generative AI Responsibly In Electronic Disclosure

GENERATIVEAIINDISCLOSURE · AGUIDEFORUKLAWYERS Using Generative AI Responsibly in Electronic Disclosure Prompted Review, Human Verification and Defensibility Under PD 57AD COMPUTERFORENSICSLAB § ABOUTTHEAUTHOR PRE PA REDBYCOMPUTERFORENSICSLABE - DISCOVERYTEAM ESTABLISHED 2007 · LONDON ISO 17025-ALIGNED PROCEDURES GENAI-ASSISTED REVIEW WORKFLOWS § CONTENTS In this guide 01 Executive summary 02 The problem in plain English: a reader that never tires and sometimes 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 versioning 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 § 0 1 · ORIENTATION Executive summary THEHEADLINEPOINT : GENAIREADSANDCHARACTERISESATSCALEUNDER INSTRUCTIONSYOUWRITE : THEINSTRUCTIONSARETESTEDLIKESEARCHTERMS , THE OUTPUTSVERIFIEDLIKEAJUNIOR ' SWORK , ANDTHELAWYERREMAINSACCOUNTABLE FORALLOFIT § 0 2 · FIRSTPRINCIPLES The problem in plain English: a reader that never tires and sometimes invents § 0 3 · THERULESOFTHEROAD The guidance landscape: ILTA, the Law Society, the judiciary and Ayinde § 0 4 · THEUSECASES Where GenAI fits: relevance, privilege, summarisation and redaction support § 0 5 · INSTRUCTIONSASMETHOD Prompt engineering as methodology: drafting, testing and versioning § 0 6 · CHECKINGTHEREADER Verification: sampling AI outputs against human judgement § 0 7 · THEPAPERWORKANDTHEDATA Transparency, data protection and the protocol § 0 8 · THEWIDERMAP Source architecture: where else the evidence lives QUESTION DECISION QUALIT Y PROMPT VERIFICATION PROCESSING SCOPE FILE RECORDS INVENTORY LAYERS HUMAN TEXT- LOG LAYER § 0 9 · INTHEWILD Worked examples EXAMPLE1 · THEPROMPTEDFIRSTPASSTHATSURVIVEDITSAUDIT EXAMPLE2 · THESUMMARYTHATINVENTEDACONCESSION EXAMPLE3 · THEPRIVILEGEFLAGSTHATACCELERATED , ANDNEVERDECIDED § 1 0 · WHEREITGOESWRONG Common mistakes and technical limitations Common mistakes Technical limitations § 1 1 · INTERROGATORIES & DRAFTINGAIDS Questions to ask · Suggested wording Ask your client Ask your opponent Ask your eDiscovery / forensic provider SUGGESTEDWORDING · GENAI PA R AG RAPHFORTHEDRD / PROTOCOL § 1 2 · QUICKCONTROL Checklist and red flags · When to involve a digital forensic expert The GenAI checklist Red flags When to involve a digital forensic expert § 1 3 · COMMONQUESTIONS Frequently asked questions Is it actually permissible to use generative AI in court-ordered disclosure? How is this different from the TAR we already use? What is "hallucination" and how do we protect against it in disclosure work? Do we have to tell the other side we used AI? Can AI make privilege calls? Our client's data is highly sensitive. Does that rule GenAI out? § 1 4 · REFERENCE Glossary Sources and authoritative references DISCLAIMER § HOWASPECIALISTLABORATORYCANASSIST Working with Computer Forensics Lab Speak to a forensic examiner, not a salesperson. INSTRUCTTHELAB NEWENQUIRIESEMAILE - DISCOVERY