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CFO-Level Finance for Legaltech Companies
Fractional CFO leadership for legaltech founders: decision-grade runway, board reporting, and unit economics, direct with a senior partner.

Bookings look strong, but the cash answer keeps arriving late
Legaltech companies sell into long enterprise procurement cycles, so revenue is booked well before cash is collected. Most founders see ARR on one dashboard, pipeline in the CRM, and cash in a spreadsheet, with no single model that connects the three. That is why runway confidence stays low even when growth is real.
The trigger moments are predictable: a raise you need to prep, a board asking what to do next, a shift to usage-based AI pricing, or a cash-to-accrual transition ahead of diligence. Each one exposes the same gap - no decision-ready framework to translate legaltech activity into cash, runway, and trade-offs, so the decisions default to gut feel.
Where does our cash actually sit?
Long enterprise sales and procurement cycles mean contracts are signed long before cash arrives, and without a model linking bookings to collections you cannot answer the runway question your board and your hiring plans both depend on.
What is our revenue really worth?
Usage-based AI pricing, deferred revenue, and inference costs sitting in COGS make legaltech revenue harder to interpret, and a single blended number hides whether your contracts, consumption, and margins actually support the growth story you are telling investors.
What should we tell the board next?
Your board pack reports last quarter's history, but it does not frame the two or three choices that matter now, so board meetings turn into status reviews instead of decisions, and investor confidence erodes with every cycle.
Can we afford the next hire, and at what price?
Hiring and pricing decisions get made without a model behind them, which means you add headcount on momentum and set prices on instinct when both should trace back to cash impact, gross margin, and the trade-offs you are consciously choosing.
Why legaltech founders choose Fiscallion
Financial Planning and Analysis
Fundraising & Investor Support
Actionable KPI Dashboards
Growth Focus CFO Advisory
The finance infrastructure we build for legaltech companies
Driver-based ARR model
A revenue model built on operational drivers - pipeline, conversion, pricing tiers, churn, and usage-based AI consumption - rather than flat growth percentages. It supports reforecasting at a monthly cadence for near-term revenue and quarterly for the full operating plan, so growth decisions rest on levers your team can actually move.
Cash flow and runway forecast
A cash forecast that connects signed contracts, collections timing across long enterprise sales cycles, and spending commitments into one runway view. It reforecasts monthly for cash and near-term revenue, giving you a defensible answer to how long the money lasts and when the next raise or cost decision has to happen.
Board and investor reporting pack
A board pack built to frame decisions, not just report history: ARR bridge across new, expansion, contraction, and churn; NRR and GRR; CAC payback; burn multiple and runway; plan variance explained; and the two or three decisions you need from the board each cycle.
Unit economics and pricing model
CAC and LTV treated as ranges and cohort views, not single numbers, with usage-based AI inference costs placed correctly in COGS so gross margin is honest. It supports pricing decisions, segment prioritization, and the question of which legaltech customers actually compound value.
Headcount and hiring plan
A hiring plan tied to the operating model, connecting each role to revenue drivers, capacity, and cash impact. It turns the question of whether you can afford the next sales or engineering hire into a scenario you can test, instead of a decision made on momentum.
Fundraising and diligence scenarios
Scenario models prepared for investor conversations, including cash-to-accrual transitions and revenue recognition presented the way diligence expects. The model is built to be handed over with documentation, so your team owns it day to day and your data room holds up under scrutiny.
We know tech inside & out.
Your Questions, Answered
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