P E E R T O P E E R M A G A Z I N E ยท S P R I N G 2 0 2 6
53
SCALABLE REVIEW WITHOUT
CEDING JUDGMENT
Modern litigation produces more testimony and
documents than most teams can digest on ordinary
schedules. Even mid-size disputes now generate
dozens of depositions, hundreds of exhibits, and
competing narratives that evolve over years. AI
improves this landscape by reading across the entire
record, mapping where accounts converge or diverge,
and presenting the results in a structure the lawyer
can use. It does the finding and sorting so the team can
focus on deciding and coaching.
AI supports, never supplants, the lawyer's judgment.
Strategy, ethical guardrails, and the preparation plan
remain human responsibilities. With the groundwork
done, the lawyer spends less time on exhaustive
manual search and more time on the parts of
preparation that demand discernment. That shift is
not new. It is a refinement of the familiar sequence of
reading, organizing, analyzing, and rehearsing, only
with fewer blind spots and a clearer view of the record.
The value of scale shows up quickly. Systems can
compare every prior transcript a witness has given,
flag key wording differences, and line up statements by
topic across multiple deponents. It can highlight where
confidence shifted, where a witness inferred rather
than recalled, and where two witnesses described the
same event in subtly different terms. Those outputs
become the raw material for focused preparation. It is
not instructions. It is prompts for the lawyer to weigh,
test, and use.
