Extract from DecoverAI’s article, “What eDiscovery Taught Us About Due Diligence at Scale.”
We built our review engine for litigation, where every call can be challenged. Here is what carries over to a data room, and where a deal asks a different question.
DecoverAI started in litigation review. Our first users were trial teams and investigators working through productions, privilege calls, and record sets large enough that nobody could read them end to end. That setting is unforgiving in a useful way: every coding decision can be questioned by the other side, and the review has to hold up after the fact.
When transactional lawyers began asking whether the same engine could help with a data room, our first instinct was caution. A deal is not a lawsuit. But the more diligence teams we spoke with, the clearer it became that the hard parts of a large review are the same in both places: a document set too big to read, a deadline that does not move, and a partner who has to stand behind the result. This essay is our attempt to separate the lessons that transfer from the ones that do not.
