Most law firm dashboards measure what already happened. Revenue last month, cases closed last quarter, fees collected year to date. Those numbers are real, and they are lagging — by the time they move, the decision that caused them was made 6 to 14 months earlier. A useful dashboard mixes leading indicators, which tell you what’s coming, with lagging ones, which tell you whether you were right.
Below are 18 metrics organized into four groups, with formulas, benchmark ranges where they’re meaningful, and review cadence. Ranges are drawn from contingency-fee and hybrid firms in the $1M–$100M band and should be calibrated to your practice area before you treat them as targets.
Group 1 — Demand and intake
Weekly. These metrics move fast and respond quickly to intervention.
1. Qualified leads by source. Count of inbound inquiries meeting case criteria, segmented by channel. The word doing the work is “qualified.” Firms that count raw call volume flatter their marketing and can’t compare channels. A channel producing 200 raw calls and 12 qualified leads is worse than one producing 40 and 20.
2. Cost per qualified lead. Channel spend ÷ qualified leads from that channel. Useful for channel comparison, dangerous as a standalone target. Optimizing for cheap leads reliably degrades lead quality.
3. Intake conversion rate. Signed cases ÷ qualified leads. Benchmark: 35–55% on qualified leads for well-run PI firms; 12–25% measured on all raw inbound. If yours is below 30% on qualified leads, that is almost always the highest-ROI fix available, ahead of any marketing spend increase. The full breakdown is in law firm intake conversion.
4. Cost per signed case. Total marketing spend ÷ signed cases, by channel and case type. This is the metric that survives scrutiny. It must be compared to expected fee per case type, not to some universal target — $2,800 per signed case is excellent for a case type averaging $18,000 in fee and catastrophic for one averaging $4,000. See cost per signed case.
Speed-to-lead deserves a mention here even though it’s an input rather than an outcome: median seconds from inquiry to first live human contact. Under five minutes is the operative threshold; conversion degrades sharply beyond it.
Group 2 — Capacity and operations
Weekly or biweekly, depending on file volume.
5. Open files per FTE, by role. Active files ÷ full-time equivalents in that role. Benchmarks vary enormously by case type: pre-litigation PI case managers commonly carry 80–150 files, litigation paralegals 35–60, litigating attorneys 25–60 depending on complexity. The number matters less than tracking it — most firms discover their distribution is wildly uneven, with one person at 190 files and another at 60. Detail in caseload ratios.
6. Average case cycle time, by stage. Mean days from stage entry to stage exit. Total cycle time is interesting; stage-level cycle time is actionable. It tells you exactly where files sit. Track at minimum: intake-to-open, treatment or discovery duration, demand-to-offer, offer-to-settlement, settlement-to-disbursement.
7. Open-to-close ratio. Files opened ÷ files closed, trailing 90 days. A sustained ratio above 1.2 means inventory is building faster than the firm can resolve it. That looks like growth for two quarters and then becomes a capacity crisis with unhappy clients.
8. Aged file percentage. Files exceeding your target cycle time ÷ total open files. Target under 15%. Aged files consume disproportionate attention, generate most complaints, and are where malpractice exposure concentrates.
9. Client contact compliance. Percentage of open files with documented client contact within the last 30 days. Target above 90%. This is the single best proxy for client experience and correlates strongly with review scores and referral volume. It is also easy to automate reporting on and nearly impossible to fake.
Group 3 — Financial performance
Monthly, after the books close.
10. Revenue per case, by case type. Fees collected ÷ cases resolved. The baseline for every downstream calculation.
11. Profit per case, by case type. Revenue per case − allocated labor − case costs − allocated marketing − allocated overhead. The most important and least commonly calculated number in law firm finance. Full method in profit per case.
12. Contribution margin by practice area. Practice area revenue − directly attributable costs, as a % of revenue. This is where firms discover that a practice area they’re proud of is subsidized by one they don’t talk about.
13. Case costs as a percentage of fee. Advanced case costs ÷ gross fee, by case type. Benchmark: 8–18% for typical PI, materially higher for complex litigation and mass tort. Trending upward without a corresponding rise in case value is an early warning on case selection.
14. Weeks of operating cash. Unrestricted cash ÷ average weekly operating expense. Target 8–13 weeks minimum for contingency firms. Note “unrestricted” — trust funds are not yours and never count. This metric is why contingency firms with strong inventories still fail. Detail in contingency-fee cash flow.
15. Collection rate. Fees collected ÷ fees earned or billed. Critical for hourly and hybrid firms; target above 95%. For pure contingency practices, substitute settlement-to-disbursement cycle time, which measures the same underlying discipline.
Group 4 — People and enterprise value
Quarterly. These move slowly and mislead if read month to month.
16. Revenue per FTE. Trailing twelve-month revenue ÷ total full-time equivalents including attorneys, staff, and owners. Range for healthy firms in this segment: $180,000–$400,000, with wide variance by practice area and leverage model. Its value is in the trend. Revenue growing 30% while revenue per FTE stays flat means you bought growth with headcount, not leverage — precisely the pattern that produces rising revenue and flat profit.
17. Voluntary turnover of high performers. Departures of top-quartile performers ÷ top-quartile headcount, trailing 12 months. Target under 10%. General turnover is a noisy metric; top-performer turnover is a direct signal about management quality, and it always precedes an operational decline by two to three quarters.
18. Owner escalation rate. Percentage of decisions or file actions requiring owner input. Sample it honestly for two weeks rather than estimating. This number is the closest thing to a direct measure of enterprise value, because buyers discount heavily for founder dependency. A firm where the owner touches 60% of decisions is worth materially less than an identical firm at 10%. More in founder dependency and law firm valuation.
How to actually run this
Do not put all 18 on a weekly agenda. Dashboards fail from volume. Pick four to six for weekly leadership review — typically qualified leads, intake conversion, cost per signed case, open files per FTE, aged file percentage, and weeks of cash. Everything else moves to a monthly or quarterly cycle.
Assign one named owner per metric. Not a department, a person. A metric owned by “marketing” is owned by nobody. The owner reports it, explains the movement, and proposes the response.
Set thresholds, not just targets. Every metric needs a number that triggers a mandatory conversation. Intake conversion below 32% for two consecutive weeks means the intake lead brings a diagnosis to Monday’s meeting. Without thresholds, the review becomes a recitation.
Instrument before you restructure. Six to eight weeks of clean baseline data before making changes. Otherwise you’ll never know whether the change worked, and you’ll be relitigating the decision a year later on the strength of competing anecdotes.
Reconcile the sources once, early. In most firms, the marketing platform, the phone system, the CRM, and the case management system each report a different case count. Reconciling them is unglamorous, takes about two weeks, and is a prerequisite for everything above. Until the numbers agree, every meeting is an argument about the data instead of a decision about the firm.
The firms that outgrow their peers are rarely the ones with better marketing or better lawyers. They’re the ones that noticed a problem in week three instead of month nine.
Frequently asked questions
What KPIs should a law firm track?
A law firm should track KPIs across four categories: demand generation (leads by source, cost per lead, intake conversion rate, cost per signed case), capacity and operations (open files per FTE, case cycle time, open-to-close ratio, aged file percentage, client contact compliance), financial performance (revenue per case, profit per case, contribution margin by practice area, case costs as a percentage of fee, weeks of operating cash, collection rate), and people and enterprise value (revenue per FTE, top-performer retention, owner escalation rate, revenue concentration).
What is a good intake conversion rate for a law firm?
For qualified leads that meet case criteria, well-run personal injury firms convert 35 to 55 percent to signed cases. Measured against all raw inbound inquiries including unqualified contacts, the range is typically 12 to 25 percent. The variance between firms is driven mostly by speed to first contact and follow-up persistence rather than lead quality.
How often should a law firm review its KPIs?
Demand and intake metrics should be reviewed weekly because they change fast and respond quickly to intervention. Capacity and operations metrics are reviewed weekly or biweekly. Financial metrics are reviewed monthly after the books close. People and enterprise value metrics are reviewed quarterly. Reviewing everything monthly is the most common mistake because it makes intake problems invisible for up to four weeks.
How many KPIs should a law firm actually track?
A law firm leadership team should review four to six KPIs weekly and no more than twelve monthly. Eighteen metrics is the full instrumentation set, but only a subset should be in active review at any given time. Dashboards with thirty metrics get ignored because nothing on them appears urgent.
Which law firm KPI is the most predictive of growth?
Cost per signed case, tracked by marketing channel and case type against expected fee, is the single most predictive metric because it links marketing spend directly to revenue-producing outcomes. Its closest competitor is open files per full-time equivalent, which predicts whether the firm can absorb the cases it signs without quality loss.
Verdict Growth Partners builds and installs KPI dashboards as part of every fractional COO and fractional CFO engagement.