M&A due diligence involves hundreds of contracts. The AI that reads them has a measurable cost per document. P402 makes that cost visible, governed, and settled onchain: per contract, per clause, per model tier.
P402 does not provide legal advice or final judgment. Routing observations (Flash vs Pro complexity) are descriptive measurements of the demo run, not recommendations.
This is the demo where you see the router actually picking different models for different documents and saving money. Each document card shows: type, complexity score, model assigned, cost, and why.
A senior partner sets a $50 cap for a tier-3 contract review. The cap is enforced. If projected cost exceeds the cap, the analysis is blocked before the model is invoked. The decision is logged.
Law firms billing clients per matter need defensible per-matter unit economics. This demo produces exactly that: a cost receipt for AI-assisted diligence that can be passed through to the client.
ABA Formal Opinion 512 (2024) prescribes that lawyers using AI understand and supervise its work. The P402 ledger provides supporting documentation: what model, what input, what output, at what cost, with human review recorded. The ledger does not satisfy supervision; the lawyer does.
All documents are synthetic, de-identified, and clearly marked SAMPLE. No real entity names.
Eight contracts in a synthetic M&A data room. Tier routing visible per document: Flash for NDAs and amendments, Pro for the MSA, employment agreement, and merger agreement. Cross-document conflict detection. Real USDC.e settlement on Tempo. Every cent attributable per matter for client passthrough.