Connect work activity, AI usage, time and billing to understand matter delivery and inform pricing. Sources, assumptions and gaps remain 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.
Without matter-level evidence on AI activity and delivery, partners assemble pricing context from disconnected systems and incomplete records.
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.
Confidence is shown on every signal: observed, estimated, or attribution-confirmed. Gaps are visible.
A defensible pricing reference, with the evidence still needing review before you quote or defend a fee.
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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, gaps, and the evidence behind a pricing or post-matter decision.
ExploreA traceable pricing reference, grounded in comparable matter evidence and attributed AI signals.
ExploreA defensible fee reference from comparable matters, with attributed AI work qualified before it is quoted.
ExploreExplore how available AI activity, deliverables, and matter context relate, with attribution limits visible.
ExploreUse connected adoption and utilisation data as one input to renewal decisions, with source coverage in view.
ExplorePrepare a firm-level evidence summary from connected sources, including gaps and limitations.
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.