In Best Practices for eDiscovery: A Practical Handbook, I focused on the importance of defensible collection and preservation in the digital realm. While these pillars endure, a novel frontier has emerged: maintaining chain-of-custody continuity amid hybrid workflows that integrate human judgments with AI-powered systems—from predictive coding and AI assistants to automated redactions.
AI-assisted processes offer speed, scale, and pattern recognition capabilities that can dramatically accelerate discovery timelines. However, they also create new fault lines of indefensibility. A once-linear custody trail can now pass through opaque AI processing steps that lack human-readable logs, generate derivative versions without explicit version histories, or even overwrite data in ways that are difficult to trace.
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