Justpoint Financial Model
Marketplace Startup Financials (Free Excel Download)
AI-powered plaintiff-attorney matching platform for personal injury litigation, earning a contingency-fee cut from settled claims.
professionals from Deloitte
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About this model
Justpoint uses AI to assess personal-injury claims and match plaintiffs with suitable attorneys from a network of more than 1,000 litigators. The platform aims to improve legal access and reduce attorney time spent on marketing and intake.
The company takes 10% of total claim payouts from the attorney's share, leaving the plaintiff without a direct platform charge. Attorney-claim matches grew more than 50% month over month in the period shown, but revenue is naturally delayed because payment arrives only when cases settle.
The model is a claims-cohort forecast rather than conventional SaaS. Claims submitted, qualification, attorney match rate, average settlement value, the 10% fee, and settlement lag determine recognized revenue. Consumer acquisition cost, case-mix quality, attorney capacity, and the duration of claims create the key timing and cash-flow sensitivities.
A turnkey financial model
Live formulas, no hardcoded values
Outputs are driven by live formulas, so the workbook updates from its assumptions instead of relying on hardcoded results.
All assumptions in one tab
Inputs are clearly marked in the Assumptions tab and separated from calculations, making it clear what to change and what to leave intact.
Statements always balancing
For integrated-statement models, the balance sheet, cash flow, and supporting schedules tie through properly.
Distinct schedules for clarity
Debt, working capital, taxes, and cash flow can get messy quickly. We group calculations in clear schedules, not across disconnected tabs.
No hidden macros or external links
There are no unexplained external workbook links or macros to undermine auditability or portability.
Changes flow through the model
Update a key driver and see the impact carry through the forecast, financing, and return outputs. We never use hardcoded numbers in formulas.
About Justpoint
justpoint.ai
How to build a detailed financial model for Justpoint
A complete walkthrough of the business, drivers, and assumptions behind the downloadable Justpoint model - distilled from its pitch deck and publicly available information.
Product & value proposition
- Two-sided platform: plaintiffs submit claim details on justpoint.com; Justpoint's AI assesses claim merit, estimates settlement value, and matches the plaintiff to the most suitable attorney from a network of 1,000+ litigators.
- For attorneys: reduces back-office burden; currently ~75% of law-firm time spent on marketing and intake.
- Key outcome claim: plaintiffs matched via Justpoint receive 3.2× higher settlement payouts vs. expected payout benchmarks.
- Second product described as enabling attorneys to do more efficient discovery (cost reduction angle); primary product is the matching/referral platform.
Market
- Deck presents three nested SAM figures (source: U.S. Chamber Institute for Legal Reform, 2018):
- $127B - revenue of all law firms in the U.S. tort system (broadest SAM)
- $36B - revenue of personal injury law firms (target SAM)
- $12B - referral fees from personal injury claims (direct SAM / addressable fee pool)
- No TAM or SOM figures provided; no market growth rate cited.
- Deck labels all three as "SAM" - the $12B referral-fee pool is the most relevant revenue proxy for Justpoint's 10%-of-payout model.
Revenue model
- Justpoint takes 10% of total claim payout, sourced from the attorney's share:
- Total claim payout splits: plaintiff 65%, attorney 35% gross → after paying Justpoint the attorney nets 25%.
- Justpoint's 10% comes out of the attorney's fee, so plaintiffs pay nothing.
- Enabled by Arizona's Jan 2021 regulatory reform allowing non-attorneys to receive a percentage of lawsuit payouts.
- Revenue per claim = 10% × gross settlement value of the case.
- Channel: direct consumer acquisition via justpoint.com (replacing billboard/opaque marketing).
- Attorney network: 1,000+ litigators available for matching.
- Revenue timing: lags claim filing by months to years (personal injury settlement timelines); cash is received at settlement, not at intake.
Traction & metrics
- >50% month-over-month growth in attorney-claim matches.
- Bar chart (Jan 2021 – Oct 2021) shows attorney-claim matches growing from ~2 in Jan to ~108 in Oct 2021. Approximate monthly values read from chart:
- Jan: ~2, Feb: ~8, Mar: ~22, Apr: ~11, May: ~25, Jun: ~29, Jul: ~36, Aug: ~53, Sep: ~99, Oct: ~108.
- No revenue figures disclosed (expected given settlement lag).
- No customer count, churn, or retention figures in deck.
- 3.2× higher settlement payouts for matched plaintiffs vs. expected.
- Over 80% of meritorious claims currently lack access to justice due to cost.
Unit economics
- No CAC or LTV figures provided.
- Implied LTV driver: 10% of settlement value per claim. Average personal injury settlement size not stated.
- Attorney economics: attorneys receive 25% net vs. 35% gross; net savings on marketing/intake presumably offset the 10% fee paid to Justpoint.
Competition / moat
- Positioning matrix (slide 11) plots competitors on two axes: (1) using technology to decrease litigation costs, (2) aligned incentives to find the best lawyers for claimants.
- Competitors named: eDiscovery companies, law firms, lead generators, patient advocates.
- Justpoint positioned as uniquely combining both axes (tech + aligned incentives).
- Moat claimed: proprietary AI for claim-merit scoring and settlement-value prediction; network of 1,000+ litigators; regulatory first-mover in Arizona fee-sharing rules.
Team & funding ask / use of funds
- Founders:
- Victor Bornstein, PhD - CEO & Co-founder; Assistant Professor of Healthtech at Mount Sinai; Member at The Fund; Fellow at Digitalis Ventures.
- Oleksandr (Sashko) Zakharchuk - CTO & Co-founder; Google Developer Expert in Machine Learning; engineer at Google; technical advisor to Seed–Series C startups (incl. Brainly).
- Employee base: Alumni of Google, Accenture, HUGE, Brainly, Motorola, HomeTeam, Icahn School of Medicine, Duke Nursing, U.S. government. 57% women, 54% 1st-generation immigrant, 39% Black, 36% Latin American, 15+ languages spoken.
- Current round: $4M.
- Previous round: $1M.
- Notable prior investors: Vivek Garipalli (Lead, Angel; co-founder & CEO of Clover Health, founding board member of Flatiron); Amino Capital; Chris Smoak (Angel; co-founder & CTO of Atrium).
Recommended financial model
- Archetype + why: Contingency-fee marketplace / claims-volume model. Revenue is a function of (claims matched × average settlement value × 10% take rate). This is not SaaS (no recurring subscription), not GMV in the traditional sense, but a volume-of-claims × settlement-size model analogous to an insurance or legal-finance book. The appropriate structure is a claims-cohort P&L - track claims by intake month, apply an assumed settlement lag, then recognize revenue at settlement. A simplified 3-statement model can sit on top.
- Forecast horizon & granularity: 5 years (2022–2026); monthly for Year 1–2, quarterly for Year 3–5. Monthly granularity important because growth rate is >50% MoM and settlement timing matters for cash flow.
- Key drivers & assumptions:
| Driver | Value |
|---|---|
| Monthly claim matches, Oct 2021 (base) | ~108 |
| MoM growth rate in matches | 50% |
| MoM growth rate decay - converges to | 5–8% MoM by Year 3 |
| Average personal injury settlement value | $50,000–$80,000 |
| Justpoint take rate | 10% of total settlement |
| Revenue per settled claim | $5,000–$8,000 at base settlement |
| Settlement lag (intake to cash) | 12–24 months |
| % of matched claims that settle (conversion) | 70% |
| Gross margin (platform costs as % of revenue) | 60–70% |
| States operating in (regulatory expansion pace) | Arizona only in 2021 → 3–5 states by Year 3 |
| CAC (plaintiff acquisition) | $150–$300 |
| Headcount growth | scale support/ops linearly with claim volume |
- Scenarios (Base / Bull / Bear - which variables flex):
- Base: 50% MoM growth decays to 8% by end of Year 2; 70% claim settlement rate; $65K avg settlement; 12-month lag; 3 states by Year 3.
- Bull: Growth sustains at 50%+ MoM through Q2 2022 (network effects kick in); rapid multi-state regulatory expansion (5+ states by Year 2); avg settlement $90K.
- Bear: Regulatory setback (Arizona law challenged or other states don't adopt); MoM growth decays to 15% by mid-2022; settlement lag stretches to 24 months (cash crunch); avg settlement $40K.
- Required sheets / outputs:
- Assumptions - all drivers in one tab, clearly tagged vs..
- Claims Volume Model - monthly intake vs. settlement cohorts; settlement lag waterfall.
- Revenue Build - settled claims × avg settlement × 10% take rate → monthly revenue recognition.
- P&L - Revenue → Gross Profit (platform/AI costs) → OpEx (salaries, S&M, G&A) → EBITDA → Net Income.
- Cash Flow - critical: revenue recognized at settlement, not intake; need to model the cash lag explicitly; burn rate and runway vs. $4M raise.
- Balance Sheet - simplified (cash, deferred revenue / contingent receivables, equity).
- KPI Dashboard - monthly claims intake, settlement volume, revenue/claim, cumulative matches, attorney network size, implied runway.
- Scenario toggle - Base / Bull / Bear switch feeding all output sheets.
Frequently asked
Is the Justpoint financial model free?+
Yes. The Justpoint model is a free Excel (.xlsx) download with live formulas. Sign up with your email and the workbook is yours to keep, review, and edit.
What's included in the model?+
A 5-year monthly forecast with P&L, cash flow and runway, valuation (exit multiple plus a DCF cross-check), MOIC/IRR returns, and unit economics, with live formulas throughout.
How was this model built?+
It was built from Justpoint's pitch deck and publicly available information, then structured to investment-banking standards as a fully editable Excel model.
Can I change the assumptions?+
Yes. You can change assumptions and the live formulas will recalculate in the downloadable Excel model.
Have more financial modelling questions? Contact us
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