Guide · Legal departments

How should a legal department use AI?

AI creates the most value for Legal when it structures a repeatable decision: retrieve the right evidence, compare precedents, flag a deviation and route the exception. It should remain verifiable, governed and measured within a defined scope.

Updated 31 July 2026

Choose a useful use case

Start with a frequent request that is costly to reconstruct and sufficiently documented: a contract deviation, internal policy, obligation or precedent search. Rare strategic matters remain assistance cases, not automation targets.

Four minimum requirements

Answers need visible sources, known corpus coverage, workflow-limited actions and an identified human decision-maker. Without these elements, speed can reduce control.

visible, dated sources;
separation of facts, rules and internal positions;
configured thresholds and permissions;
audit of human corrections and decisions.

Measure value

Track time involved, requests resolved without a new escalation, exceptions routed and time to decision. Generated word count is not a legal value metric.

Reference sources

For verification and further reading.

These references provide general context. The framework applicable to each organisation should be assessed with its Legal, HR, security and data-protection owners.

FAQ

Frequently asked questions

Which project should come first?

One recurring request family with stable sources and an owner able to define exceptions.

Should the decision be automated?

No. Automate context assembly and the opening of permitted actions, then retain a traceable human decision.

How are hallucinations limited?

Constrain sources, expose the passages used, measure coverage and withhold an actionable answer when evidence is insufficient.

Next step

Scope a measurable first use case.

We start with a real request, its evidence and its decision path.

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