Series context. This installment builds directly on Part 1 (“AI as Evidence”) and Part 2 (“From Predictive to Prescriptive”) in our AI with Integrity series. It focuses on how AI-powered tools intersect with metadata, chain of custody, and forensic soundness, and what legal teams must do to stay defensible. [10]
Why metadata is evidence
In digital matters, metadata carries the “who/what/when/where/how” that authenticates a file and anchors timelines. U.S. courts require proponents to show that evidence “is what [they] claim it is” under Federal Rule of Evidence 901, and in many cases allow self-authentication of records generated by an electronic process when a qualified person certifies the system’s accuracy (FRE 902(13) and 902(14)). [1][2] International guidance reinforces the point: ISO/IEC 27037 defines defensible handling across identification, collection, acquisition, and preservation, with a documented chain‑of‑custody record linking handlers and state changes over time. [3] NIST continues to emphasize the importance of forensically sound conditions, validated methods, controlled handling, and careful documentation before, during, and after acquisition. [4]