Getting cash in faster without adding admin to lawyers' days
The problem
A firm's partners could see total debtors but not where lockup was building or why. Realisation had been drifting down for a year, and the monthly report arrived too late to change anything.
What the dashboard is for
A monthly view of lockup and realisation by practice area, so partners see which areas hold cash in unbilled work and where time is being written off.
What the numbers say
Unbilled work in progress is the larger share of lockup in both practice areas, so the fix starts with billing, not collections.
- Firm lockup
- 98 days
- Target 90 days
- Practice areas over target
- 2 of 6
- Litigation and Family
- Work in progress
- A$2.8M
- A$1.1M older than 60 days
- Realisation rate
- 84%
- Target 90%
How FDX uses it
- We connect the practice management and billing systems into one model, refreshed daily.
- AI helps with document review, billing emails and matter summaries from approved material. Confidentiality rules and a lawyer's judgement stay part of every step.
- Client names and matter details are masked before any AI model sees them, with onshore hosting available and no data used for training.
Next steps it points to
Billing. Bill the litigation and family matters with more than 60 days of unbilled time this month.
Write offs. Review the matters with the largest write offs and agree scope letters for new instructions.
Clients. AI drafts billing cover emails and matter summaries from approved material. A lawyer reviews each one.
ExampleExample case study with illustrative sample data. Not a real client or real results.
Next exampleAccountingKnowing in week 13, not week 19, whether the deadline is at risk
The dashboard is one part of the work.
It gives the team one trusted view of the numbers. The bigger gain is AI working from that same data to draft the follow ups, with a person approving every step.
When AI drafts from your data, personal details are masked before the model sees them. Onshore hosting is available, and your data is not used for training.