Connect available AI activity, work, time and billing evidence to review delivery effort, staffing and cost. Inform AI investment and pricing, with assumptions and gaps visible.
Matter economics intelligence · review · understand · inform
As AI changes how legal work gets done, firms need a clear record of what changed, what the data supports, and what still needs validation.
Firms deploy AI tools across hundreds of matters but lack a reliable way to connect activity to the work performed, the client matter, and the available economic context.
Adoption counts alone do not explain how work is delivered. Innovation teams need to relate AI activity to effort, staffing and economic context when assessing further investment.
When AI-driven efficiency is questioned, firms need to show what the data supports, what remains inferred, and which gaps require human validation.
A matter-by-matter view of delivery, tool contribution, and how recorded time and billing line up.
Distinguish recorded activity, estimates and human-reviewed attribution. Review confidence, assumptions and evidence gaps.
Use reviewed evidence to inform delivery, staffing, cost, AI investment and pricing decisions.
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What the firm systems directly recorded.
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What the evidence suggests, with uncertainty visible.
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What a human has checked and can defend.
A firm-level view of evidence coverage, attribution, and confidence for matters represented in connected data.
ExplorePer-matter AI activity, effort and economic context to inform delivery, staffing and pricing decisions.
ExploreA traceable pricing reference, grounded in comparable matter evidence and attributed AI signals.
ExploreExplore available AI activity alongside work, time and billing. Compare effort and staffing patterns, with attribution limits visible.
ExploreBring evidence of activity and matter context to adoption, training and investment reviews. Usage alone does not establish return.
ExploreReview work mix and recorded effort alongside available cost assumptions. Compare patterns without assuming AI caused a difference.
ExploreExplore a fee reference from comparable matters, with AI-linked work and pricing assumptions qualified before use.
ExploreStart by scoping your sources and questions. A sample walkthrough can help assess what a review might show; customer-data access requires a separately agreed scope.