Legal.

Legal teams cannot adopt AI that hallucinates citations or summarises away the clauses that matter. Every output must trace, clause by clause, back to source. In practice, the first deployments cluster around document intelligence, internal copilots, search & re-ranking, evaluation harnesses: areas where evaluation criteria are objective, data is already in the system, and an evaluation harness can measure quality continuously.

Regulators-of-note for legal engagements typically include Bar association rules, GDPR / UK GDPR, OAIC, state bar advisory opinions. The specific regulators that bind a given engagement depend on jurisdiction and the data classes in scope, so we map this explicitly during discovery rather than assume a global posture.

We do not ship legal-AI tooling without citation grounding and provenance. Every generated sentence points back to a passage in the source document set. This is a deliberate trust boundary, not a capability gap. We are equipped to build the systems we decline to build, and we decline to build them because the risk-to-value ratio in this industry does not justify it.

Our legal engagements typically sit between Chief Knowledge Officer, Director of Legal Operations, Practice Group Lead and equivalent senior operators. The decision-maker varies by organisation, but the common thread is a leader accountable for both delivery and downside.

In legal, generative AI has matured fastest in document review, drafting assistance, and clause-by-clause comparison, always with citations back to source. The same techniques look superficially similar across industries, but the data shapes, evaluation criteria, and adverse-event posture differ enough that copy-pasting an engagement from another industry usually produces a system that fails the first audit it sees.

We spend two weeks with your leadership and operators, rank the use cases that are worth doing, and come back with a clear plan and a clear price. We never start with a six-month strategy exercise. We go after the smallest piece that produces real value first.