How to build your law firm's management reports with AI

TLDR: A law firm gets governed with one page a month: production (recorded hours and their destination, matters opened and closed, deadline incidents: zero is the only acceptable number), economics (billed, collected, receivables with age, profitability per matter type) and pipeline (contacts, consultations, funnel conversion). The data comes out on its own from the systems already built (time recording, Holded, intake), YesChat adds the narrative and Gamma the presentation. The thirty-minute monthly meeting with three owned decisions is the product: the rest is management bookkeeping.

The section’s notice: these reports measure the firm’s management as a business. Legal work and its quality get evaluated with other frameworks, and nothing in this guide is legal advice.

1. Choose the numbers that govern a firm

A firm’s monthly page has three blocks. Production: recorded hours and their split (billable, non-billable and where they went), matters opened and closed in the month, and the watchman number: deadline incidents, where the only acceptable value is zero and any other triggers immediate review of the deadline system. Economics: billed and collected (not the same thing), receivables with their age, and the profitability per matter type that time recording makes possible. Pipeline: the month’s contacts, held consultations and the intake funnel’s conversion.

Each number’s test is the usual: which decision changes if it moves? The page passing that test gets read. The forty-metric dashboard gets filed.

Every figure with its comparison (previous month, previous year): the lone datum does not govern, the trend does.

2. Let the data come from the systems already built

The artisanal report dies in two months: the survival condition is that every number comes from a system already producing it. Daily time recording gives the production block, Holded (from about $8 a month) the economic one from the billing circuit’s tagged data, and the intake funnel its contact and conversion figures.

The initial build leaves the recipe written (each number with its source and filter) and the document templated: monthly collection drops to minutes of pouring.

The number with no system behind it flags the pending guide: profitability per matter without time recording does not exist, and the funnel without an intake circuit neither. The report matures at the operation’s pace, and that is information in itself.

3. Turn the numbers into readings and proposals

The numbers page gets completed with the minimum narrative: YesChat (from a free plan) receives the data with its comparisons and returns the draft of the three readings (what changed relevantly, what explanation the data suggests, what deserves a decision this month), which the partner reviews with what the numbers cannot see: the big matter distorting the month, the sector’s seasonality, each client’s context.

The analysis rules: aggregated data without identifiable clients in tools without guarantees, verified calculations and the AI’s reading as a draft judgment signs.

Gamma (free credits) builds the presentation when the report has an audience (partners, the firm meeting): the page, the readings and the proposals in meeting format.

4. Hold the monthly meeting with decisions and owners

Law has a management culture famous for its absence: the thirty-minute monthly meeting is the habit that corrects it. The format: fifteen minutes of report (read beforehand), fifteen of decisions, three at most and each with an owner and a date.

The decisions this circuit produces in a firm: the matter type that systematically loses money gets repriced or dropped, the growing non-billable hours get investigated (administration to automate with this section’s guides?), the aging receivables trigger the collection sequence, and the falling consultation conversion demands a look at the funnel.

The next meeting opens by reviewing the previous three decisions: that five-minute pass is the difference between managing and meeting. The rest of the operation lives in AI for legal and law firms.

Common mistakes

Governing by cash feel. “We are fine because there is movement” hides the money-losing matter type and the aging receivable: the monthly page is the cheap corrective.

Measuring only the economic. Non-billable hours with unknown destination and the funnel’s conversion are where next year gets decided: the three blocks exist for a reason.

The report without the meeting. Numbers nobody turns into decisions are an archive: the monthly half hour with three owned decisions is the system’s entire product.

Treating the deadline incident as a statistic. Zero is the only acceptable value: any other does not get noted in the report, it triggers the deadline system’s immediate review.

Frequently asked questions

Does a solo practice need this?

The half-page version, yes: production, economics and pipeline govern a solo lawyer the same, and the monthly meeting is with yourself under the same decision format.

How do I measure profitability per matter type?

Recorded hours per matter against billed per matter, grouped by type: daily time recording is the requirement, and the first calculation usually changes the pricing policy.

What about months distorted by one big matter?

Note it in the reading: the narrative exists for that. The year-on-year comparison and the quarterly view correct what the lone month exaggerates.

Do these numbers serve partner decisions?

They are their raw material: the distribution, investment or growth conversation with the page in front is a different conversation. Gamma turns it into a presentation in minutes.