test/VaultMesh_Catalog_v1/pages/page6-lawchain.md

Page Title: Lawchain Compliance Ledger Summary: Lawchain is the compliance-focused ledger that tracks regulatory obligations, oracle answers, and audit trails via receipts. It integrates with the proof system to ensure every compliance answer has a cryptographic backbone, and it is designed to speak the language of EU AI Act, GDPR, NIS2, and future frameworks.

Key Findings:

• Oracle answers are validated against a schema before being recorded.
• Each answer is hashed and bound into a receipt, linking legal semantics to proofs.
• Federation metrics allow multi-node Lawchain sync across the mesh.
• Policy evaluation is driven by JSON inputs and produces JSON results for downstream tools.

Components:

• Lawchain Core Ledger (append-only compliance scroll).
• Oracle Answer Validator (schema enforcement).
• Compliance Scroll store (receipt logs).
• Federation Metrics emitter.
• Policy Evaluator (rule engine).

Oracle Answer Schema (vm_oracle_answer_v1):

{
  "question": "string",
  "answer_text": "string",
  "citations": [{
    "document_id": "string",
    "framework": "string",
    "excerpt": "string"
  }],
  "compliance_flags": {
    "gdpr_relevant": true,
    "ai_act_relevant": false,
    "nis2_relevant": true
  },
  "gaps": ["string"],
  "insufficient_context": false,
  "confidence": "high"
}

Workflows / Pipelines:

• Compliance Q&A:
  1. Operator (or system) asks Lawchain a question.
  2. RAG/Retrieve context from policy docs and regulations.
  3. LLM generates an answer draft.
  4. Answer is validated against vm_oracle_answer_v1 schema.
  5. Hash (Blake3 over canonical JSON) computed and receipt generated.
  6. Receipt anchored via proof system and stored in Lawchain.

Metrics Files (examples under /tmp/):

File	Purpose
lawchain_federate.out	Federation sync output
lawchain_federate.err	Federation errors
lawchain_metrics.out	Metrics/logging output
policy_eval_out.json	Policy evaluation results
policy_input.json	Policy evaluation input

Security Notes:

• Answer hash computed as blake3(json.dumps(answer, sort_keys=True)).
• Receipts bind answer content, timestamps, and possibly node identity.
• gaps and insufficient_context prevent fake certainty in legal answers.
• Citations must reference real sources, enabling audit of answer provenance.

Compliance Frameworks Tracked:

• GDPR – data protection and subject rights.
• EU AI Act – risk classification, obligations, and logs.
• NIS2 – network and information security.
• Custom extensions can map additional frameworks (e.g., SOC2, ISO 27001).

Dependencies:

• Lawchain service.
• Oracle corpus indexed (policies, regulations, internal docs).
• Blake3 and JSON schema validator.
• Integration with VaultMesh proof spine for receipts and anchoring.