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AI - GENERATEDDOCUMENTS · A GUIDE FOR UK LAWYERS AI-Generated Documents: Provenance and Detection Fabricated Evidence, Invented Citations and the Return to Provenance COMPUTER FORENSICS LAB

§ ABOUT THE AUTHOR PREPARED BY COMPUTER FORENSICS LAB E-DISCOVERY TEAM ESTABLISHED 2007 · LONDON ISO 17025-ALIGNED PROCEDURES DOCUMENT PROVENANCE ANALYSIS

§ CONTENTS In this guide 01 Executive summary 02 The problem in plain English: plausible text is cheap now 03 How AI-generated and AI-assisted documents arise 04 Why text-based detection is weak 05 Provenance: the forensic answer 06 Metadata, corroboration and honest limits 07 Deployment: fabrication, hallucinated citations and duties 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: AI can now fabricate a plausible document in seconds, but detecting AI from the text alone is unreliable, so the forensic answer is not a detector but provenance: where the document actually came support its claimed origin.

§ 02 · FIRST PRINCIPLES The problem in plain English: plausible text is cheap now

§ 03 · HOWTHEYARISE How AI-generated and AI-assisted documents arise