Extract from Lyric Menges & Brian J. McGinnis’s article “The Metadata Trap: Why Data Privacy Matters When Lawyers Use AI”
Lawyers tend to defend confidentiality by protecting content: the words in an email, the draft of a motion, the audio of a privileged call, the message in which a client finally admits the damaging fact. That reflex is correct, and incomplete.
In modern information ecosystems, the most revealing layer is often not what was said, but everything around it: who communicated with whom, when, how often, from where, on what device, through which systems, and in what sequence. That surrounding layer—metadata—forms a durable behavioral map.
The public learned long ago that inferences drawn from ordinary behavioral patterns can be intimate and accurate. Target’s widely reported pregnancy-prediction episode remains a canonical illustration: a retailer inferred pregnancy status from purchasing behavior and marketed accordingly, even before family members knew. Now the profession is introducing AI systems, powerful pattern engines, into the practice of law at exactly the moment when metadata is exploding in volume, retention is cheap, and analytics are industrialized.
