legal-claim-economics

What problem does it solve?

Legal teams and funders often need to quantify whether a claim or portfolio is economically viable across damages, costs, fee structures, funding returns, and recovery waterfalls—without producing unsupported conclusions or hidden assumptions.

Core Features & Use Cases

• Claim/portfolio economics modelling: Build base, downside, and upside scenarios from user inputs covering damages, win probability, time to resolution, costs, ATE/adverse costs, and recovery waterfall.
• Fee and funding structure handling: Model solicitor fee arrangements (including DBA/CFA-style structures) and funding return families such as MOIC, proceeds splits, structured debt interest, IRR hurdles, and hybrids.
• Transparent assumptions and safety guardrails: Maintain an assumptions register with explicit sourcing labels (user-supplied, document-sourced, calculated, or assumptions-to-verify), and avoid fabricating Monte Carlo percentiles or legal/tax enforceability conclusions.

Quick Start

Use legal-claim-economics to model 1,000 claims with provided damages, win probability, costs, ATE assumptions, and a funder MOIC, then output the firm and funder economics plus the client residual using a specified recovery waterfall.