Verifiable AI Provenance (VAP) Framework and Legal AI Profile (LAP)
draft-ailex-vap-legal-ai-provenance-03
| Document | Type |
Expired Internet-Draft
(individual)
Expired & archived
|
|
|---|---|---|---|
| Author | AILEX | ||
| Last updated | 2026-09-02 (Latest revision 2026-03-01) | ||
| RFC stream | (None) | ||
| Intended RFC status | (None) | ||
| Formats | |||
| Stream | Stream state | (No stream defined) | |
| Consensus boilerplate | Unknown | ||
| RFC Editor Note | (None) | ||
| IESG | IESG state | Expired | |
| Telechat date | (None) | ||
| Responsible AD | (None) | ||
| Send notices to | (None) |
This Internet-Draft is no longer active. A copy of the expired Internet-Draft is available in these formats:
Abstract
This document specifies the Verifiable AI Provenance (VAP) Framework, a cross-domain upper framework for cryptographically verifiable decision audit trails in high-risk AI systems, along with the Legal AI Profile (LAP), a domain-specific instantiation for legal AI and LegalTech systems. VAP defines common infrastructure including hash chain integrity, digital signatures, unified conformance levels (Bronze/Silver/Gold), external anchoring via RFC 3161 Time-Stamp Protocol and compatible transparency services (including IETF SCITT), a Completeness Invariant pattern guaranteeing no selective logging, standardized Evidence Pack format for regulatory submission, and privacy- preserving verification protocols. LAP extends VAP for the judicial AI domain, addressing unique requirements including attorney oversight verification (Human Override Coverage), three-pipeline completeness invariants for legal consultation, document generation, and fact-checking, tiered content retention with legal hold protocols for judicial discovery compliance, graduated override enforcement mechanisms, and privacy- preserving fields designed to maintain attorney-client privilege while enabling third-party auditability.
Authors
(Note: The e-mail addresses provided for the authors of this Internet-Draft may no longer be valid.)