Legal & Risk
Litigation document review
Prioritise and classify documents in disclosure exercises by relevance, privilege, and issue, so legal reviewers spend their time on the material that matters rather than reading everything.
50–70%
reduction in document review hours
Opportunity assessment
Minor improvement. Small efficiency gain with limited effect on overall turnover or bottom line.
Moderate effort. Requires configuration, prompt engineering, and testing. A capable team can get there but expect several months.
Moderate data needs. Works with data most businesses hold, but will likely need consolidation, cleaning, or reformatting before use.
High risk. Significant external exposure or regulatory implications. Requires robust oversight and clear accountability.
Light people impact. A new tool slots into an existing workflow. Minimal training needed. Most people will adapt quickly.
Tooling required
Things to consider
Technology-assisted review is well established and has been accepted by the English courts, with Pyrrho Investments v MWB Property the usual starting citation (BAILII).
Privilege classification is the step where an error is unrecoverable. Route anything the model marks as borderline to a qualified reviewer rather than accepting a confidence score.
Agree the approach and validation protocol with the other side and, where required, the court before you rely on it. Retrofitting justification after a disclosure dispute is expensive.
Experiment starter: On the next disclosure exercise, run technology-assisted review alongside the sampled manual review. Compare recall on a validated seed set before letting it reduce the volume that reaches human reviewers.
Go deeper in the playbook
Section — Opportunity Identification, including the AI Opportunity Assessment ScorecardSection — Risk and GovernanceThis opportunity scores low on risk exposure — read the risk and governance approach before you start.More in Legal & Risk
Contract review and clause risk flagging
Review inbound contracts against the company's playbook of acceptable positions, flagging non-standard clauses — liability caps, indemnities, termination, auto-renewal — with the preferred alternative wording.
NDA triage and standard-term approval
Automatically assess inbound NDAs against a pre-approved position, approve those that match, and escalate only the ones with material deviations, with the deviations highlighted.
Legal research and precedent summarisation
Summarise relevant legislation, regulator guidance, and internal precedent for a specific question, with citations, giving the in-house team a researched starting point rather than a blank page.
AI Transformation Playbook
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