While AI tools offer significant advantages, robust quality control and verification processes are essential to ensure the accuracy and defensibility of their outputs. This includes:
Human-in-the-Loop Review: Human reviewers still play a critical role in validating AI-generated classifications, redactions, and Bates stamps.
Audit Trails: Maintaining detailed logs of AI actions and human overrides for transparency and accountability.
Sampling and Spot-Checking: Regularly sampling AI-processed documents to identify and correct any errors or inconsistencies.