Nobody Told Legal About Your RAG Pipeline -- Why That's A Problem
InformationWeek, Friday, April 17th, 2026
Retrieval-augmented generation is everywhere in the enterprise. The compliance and e-discovery implications are not. What lives in your vector database may be the next audit surprise you didn't see coming.
Every regulated enterprise running an AI system is sitting on a discovery liability it can't see. Retrieval-augmented generation, commonly referred to as RAG, is the architecture that lets large language models (LLMs) pull from internal document repositories before generating a response. Yet legal teams are rarely aware of the liabilities that lurk there.