1583890199
Contains: - 1m-brag - tem - VaultMesh_Catalog_v1 - VAULTMESH-ETERNAL-PATTERN 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
73 lines
2.9 KiB
Markdown
73 lines
2.9 KiB
Markdown
Page Title: Lawchain Compliance Ledger
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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.
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Key Findings:
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- Oracle answers are validated against a schema before being recorded.
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- Each answer is hashed and bound into a receipt, linking legal semantics to proofs.
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- Federation metrics allow multi-node Lawchain sync across the mesh.
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- Policy evaluation is driven by JSON inputs and produces JSON results for downstream tools.
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Components:
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- Lawchain Core Ledger (append-only compliance scroll).
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- Oracle Answer Validator (schema enforcement).
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- Compliance Scroll store (receipt logs).
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- Federation Metrics emitter.
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- Policy Evaluator (rule engine).
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Oracle Answer Schema (vm_oracle_answer_v1):
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```json
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{
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"question": "string",
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"answer_text": "string",
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"citations": [{
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"document_id": "string",
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"framework": "string",
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"excerpt": "string"
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}],
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"compliance_flags": {
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"gdpr_relevant": true,
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"ai_act_relevant": false,
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"nis2_relevant": true
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},
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"gaps": ["string"],
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"insufficient_context": false,
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"confidence": "high"
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}
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```
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Workflows / Pipelines:
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- Compliance Q&A:
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1. Operator (or system) asks Lawchain a question.
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2. RAG/Retrieve context from policy docs and regulations.
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3. LLM generates an answer draft.
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4. Answer is validated against vm_oracle_answer_v1 schema.
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5. Hash (Blake3 over canonical JSON) computed and receipt generated.
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6. Receipt anchored via proof system and stored in Lawchain.
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Metrics Files (examples under /tmp/):
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| File | Purpose |
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|-------------------------|----------------------------|
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| lawchain_federate.out | Federation sync output |
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| lawchain_federate.err | Federation errors |
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| lawchain_metrics.out | Metrics/logging output |
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| policy_eval_out.json | Policy evaluation results |
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| policy_input.json | Policy evaluation input |
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Security Notes:
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- Answer hash computed as blake3(json.dumps(answer, sort_keys=True)).
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- Receipts bind answer content, timestamps, and possibly node identity.
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- gaps and insufficient_context prevent fake certainty in legal answers.
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- Citations must reference real sources, enabling audit of answer provenance.
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Compliance Frameworks Tracked:
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- GDPR – data protection and subject rights.
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- EU AI Act – risk classification, obligations, and logs.
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- NIS2 – network and information security.
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- Custom extensions can map additional frameworks (e.g., SOC2, ISO 27001).
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Dependencies:
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- Lawchain service.
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- Oracle corpus indexed (policies, regulations, internal docs).
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- Blake3 and JSON schema validator.
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- Integration with VaultMesh proof spine for receipts and anchoring.
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