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Litigation Funding PortfolioFree Financial Model Download

An 8-case litigation-finance fund model over a 6-year horizon: commercial-litigation, IP, antitrust, mass-tort, arbitration, securities, trade-secret, and lien claims, with per-case expected value (wins and partial loss recoveries), portfolio cashflows, European-style 2-and-20 fee structure, gross and net IRR / MOIC, and a 5x5 sensitivity grid on win rate by MOIC bands.

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About this model

A litigation-funding portfolio model captures the expected return of a closed-end fund that finances commercial-litigation, intellectual-property, antitrust, mass-tort, arbitration, and trade-secret cases in exchange for a contracted multiple of capital deployed on a win. The workbook runs across seven sheets — Cover, Assumptions, Case_Portfolio, Cashflows, Returns, Sensitivity, Checks — plus the shared Disclaimer. Every input is a named-range cell, every formula is one or two operations long, and the workbook passes static-value, self-reference, dead-assumption, and unused-named-range scans.

The case panel sits on the Assumptions sheet: eight cases with capital commitment, funding year (0-2), duration in years (2-4), base win probability (35-65%), MOIC on win (2.5-6.0x), and loss recovery rate (5-20% of capital). A Scenario_Sel parameter drives a CHOOSE() over three win-rate scalars (Base 1.00x, Bull 1.20x, Bear 0.75x), capped at 100% per case on the upside. The total committed capital is 37 million USD spread across eight diversified case types and three vintages — the sector convention for a sub-$50M emerging-manager fund.

The Case_Portfolio sheet computes per-case expected value: EV recovery = Capital × (Adjusted Win × MOIC + (1 − Adjusted Win) × Loss Recovery), then EV profit, EV / cost ratio, and resolution year (funding year + duration). The Cashflows sheet rolls annual portfolio cashflows — per-case capital out triggered by funding year, per-case expected recoveries triggered by resolution year, plus a 2% management fee drag every year on committed capital — into net pre-carry and cumulative pre-carry rows.

Carry is computed European-style: only in the terminal year, only on profits above the hurdle × weighted-average duration, at 20% of the excess. This matches institutional fund convention for closed-end vehicles. The Returns sheet headlines gross IRR (23%), gross MOIC (2.0x), net IRR (21%), net MOIC (1.7x), TVPI, DPI, and portfolio NPV at a 12% discount rate, plus the capital-weighted win rate, weighted-average duration, total capital deployed, expected recovery, expected profit, and cumulative fees and carry paid.

The Sensitivity sheet runs a 5x5 grid of net IRR across win-rate scalars (0.6x to 1.4x) and MOIC multipliers (0.8x to 1.2x) using a closed-form approximation that lands within tolerance of the headline IRR at the centre cell. The Checks sheet runs seven cross-sheet validations — capital deployed equals commitment, all adjusted win probabilities ≤ 100%, every case EV recovery non-negative, carry confined to the final period, carry respects the hurdle gate, net MOIC ≤ gross MOIC, and the sensitivity centre cell within tolerance of the headline net IRR.

Target users are litigation-finance LPs (pension funds, family offices, alternative-asset allocators), fund GPs raising or reporting on a litigation-finance vehicle, and bankers underwriting LP commitments. The model is calibrated against published gross returns from Burford Capital, Omni Bridgeway, Therium, and Parabellum — typical commercial-litigation funds report 20-35% gross IRR and 15-25% net IRR on 2.5-3.5 year duration. Use the scenario selector for win-rate stress testing, edit the case panel for portfolio diversification analysis, and flex the fee-and-carry inputs to compare the LP cost of 2-and-20 against alternative structures.

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Income statement, brown brand palette
income_statement.xlsx
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Recolor to your brand.
Formatted to IB standards.

Named theme colors repaint the whole workbook in one click, on top of an investment-banking structure with blue inputs, black formulas, and green cross-sheet links.

  • Brand-ready
  • Institutional grade
  • Fully auditable

What's included

  • 8-case commercial-litigation panel with capital, funding year, duration, win prob, MOIC on win, loss recovery
  • Scenario selector (Base 1.00x, Bull 1.20x, Bear 0.75x) driving win-rate scalars across the panel via CHOOSE()
  • Case_Portfolio sheet with adjusted win probability, EV recovery, EV profit, EV/cost ratio, resolution year
  • Cashflows sheet with per-case capital out by funding year and recovery by resolution year, plus mgmt fee, carry, net pre and post
  • European-style waterfall: 2% mgmt fee on commitment, 20% carry on profits above 8% hurdle by weighted-avg duration
  • Returns sheet with Gross IRR / MOIC, Net IRR / MOIC, TVPI, DPI, NPV at 12%, and portfolio composition
  • 5x5 Sensitivity grid: win-rate scalar (0.6x-1.4x) by MOIC multiplier (0.8x-1.2x) producing closed-form Net IRR
  • Seven validation checks: deployed equals commitment, win prob bounded, EV non-negative, carry mechanics, sensitivity centre matches headline

Built for litigation-finance LP diligence

When the question is "does the case panel and the 2-and-20 fee structure clear the LP net-IRR hurdle?", a clean EV recovery panel plus a European-waterfall cashflow is the only honest answer. This template hands an LP a one-page bridge from gross case economics to net investor IRR.

Designed for one-edit responsiveness

Every input — case capital, win prob, MOIC, loss recovery, fee, carry, hurdle, scenario — is a named-range cell. Edit one and the Case_Portfolio, Cashflows, Returns, Sensitivity, and Checks sheets all recompute. No formula rewrites needed to test a different fund structure.

Honest about losing cases

EV recovery handles partial settlements on losing cases via a per-case Loss Recovery rate (typical 5-20% of capital). Most litigation-finance models treat losses as zero; this one is realistic about defendants settling to avoid retrial risk and legal-cost reimbursement claims.

Frequently asked

What is a litigation-funding model?+

A litigation-funding model captures the expected return of a closed-end fund that finances commercial-litigation, IP, antitrust, mass-tort, and arbitration cases in exchange for a contracted multiple of capital on a win. It is how institutional LPs underwrite whether a diversified case panel and the 2-and-20 fee structure clears the required net IRR hurdle.

How does the expected-value formula handle losing cases?+

Each case has a Win Prob and a Loss Recovery rate. EV recovery = Capital times (Adjusted Win times MOIC plus (1 minus Adjusted Win) times Loss Recovery). Loss recovery captures partial settlements on losing cases — typical 5 to 20% of capital — because defendants often settle to avoid retrial risk and legal-cost reimbursement claims.

What does the scenario selector do?+

Scenario_Sel (1=Base, 2=Bull, 3=Bear) runs a CHOOSE() over three win-rate scalars (1.00x, 1.20x, 0.75x). The selected scalar multiplies every case base win probability, capped at 100%. Flipping the cell on Assumptions recomputes the entire portfolio in one keystroke — Case_Portfolio, Cashflows, Returns, Sensitivity, and Checks all follow.

Why is carry only paid in the terminal year?+

The model uses a European-style waterfall — carry is calculated portfolio-level after all capital is returned plus the preferred return (8% times weighted-avg duration). This is the institutional LP convention for closed-end fund vehicles. Deal-by-deal carry would fire on each case settlement, which favours the GP at the LP expense.

Can I model insurance-wrapped litigation finance?+

Not directly. This template models a fully-funded fund with no ATE (After-The-Event) insurance or capital-protected note structure. To layer insurance, add a premium row (cost) and a recovery floor (proceeds) per case on Assumptions, then adjust the loss-recovery formula to take MAX(LossRec, Insurance_Floor). The fee and carry mechanics stay unchanged.

Alex Tapio, founder of Finamodel and ex-Deloitte financial modelling expert

Alex Tapio

Founder of Finamodel • Professional Financial Modeller • Ex-Deloitte