Tier T2 · Usage & adoption · roadmap
Workload — how evenly is the book carried?
Open matters (phase != Closed) per matter-owner fee earner. Fee-earners are anonymised — this is about the shape of the load, not who carries it.
How to read this page
What this measures
How open matters are distributed across fee-earners — concentration measured with a Gini coefficient and the busiest-decile share.
How to read it
The chart shows each fee-earner decile's share of open matters, busiest first. A steep left edge means the load is concentrated.
Why it matters
Concentration is a capacity and key-person risk — and it shapes who feels the pain of any process change.
Watch for
The fee-earner count spans history, so it includes departed staff; and entity-resolution duplicates can inflate the long tail.
0.819Gini coefficient
77%Held by busiest 10%
120Fee earners with open matters
4,002Busiest owner's matters
The evidence
Share of open matters held by each fee-earner decile, busiest first — D1 is the top 10% of fee-earners by matter count.
The busiest tenth of fee-earners hold this share of all open matters.
Read honestly: the concentration (Gini and top-10% share) is the durable signal. The raw fee-earner count is not current headcount — it spans the full history and includes departed staff — and duplicate parties can inflate the tail.
From the live engagement
The live engagement showed the same shape you see here: the top decile of fee-earners held a disproportionate share of the open book, measured with the identical Gini and top-decile-share method — anonymised to the shape of the load, never to who carries it.
roadmap On our roadmap: this lens is proven on a live client engagement and is being generalised into the productised pipeline (alongside Configuration and Lifecycle, which are shipped today). The numbers on this page are real — computed directly from the synthetic corpus — but the lens is not yet a formal, re-runnable step in
insights.audit.Continue the reportNext: Delta →