As AI systems increasingly make decisions that affect our lives, are we truly ready to investigate those decisions when they go wrong? This article explores the growing forensic gap in LLMs and self-evolving models, highlighting real-world failures and calling for urgent industry action on auditability, legal replay, and transparency.