The AI Problem at Law Firms Isn't Hallucination. It's Honesty.

AI memory features aim to store user preferences and styles to eliminate repetition, yet this convenience creates significant privacy risks by building permanent personal records. While vendors market these systems with claims of infinite context and perfect recall, such assertions often fail under real workloads. Consequently, there is a growing need for rigorous, reproducible benchmarking methodologies to evaluate long-term memory modules and cognitive architectures, moving beyond synthetic tests to reveal actual product trade-offs and surveillance implications.