VARI-LEGAL

Key Features and Functions:

Adversarial Verification Architecture At the core of VARI-LEGAL is a three-agent adversarial process: an Advocate, an Adversary, and an Arbitrator operating on separate model families from different vendors. The Advocate constructs the strongest case for each citation or claim. The Adversary challenges it. The Arbitrator resolves the dispute against verifiable source material. Cross-vendor independence is structural, meaning no single AI family can confirm its own output.

Independent Verification Layer Operates separately from content-generating systems, providing an external validation step for AI-generated legal outputs. The system functions regardless of the source platform used to produce the original content. It works with any AI system. It is not affiliated with any.

Citation Verification Against Federal Case Law Evaluates AI-generated legal citations against a federal case database, checking for existence, alignment with cited holdings, and subsequent case history. Produces a structured record of verification results for each citation.

Dual Verification Modes Citation Mode assesses legal citations against a case law database. Document Mode evaluates AI-generated summaries, extractions, or analyses against uploaded source documents without requiring access to external citation systems.

Deterministic Scoring Controls Rule-based scoring mechanisms override model-generated judgments in cases of definitive verification failure. Outcomes reflect verifiable conditions, not probabilistic model outputs.

Structured Compliance Certificate Produces a SHA-256 hashed verification record documenting citation analysis, challenge outcomes, and methodology. The output includes a verification table, adjudication log, and supporting disclosures suitable for internal records or regulatory use.

Support for AI Disclosure Compliance Requirements Produces structured verification records designed to satisfy court-level AI disclosure requirements, including standing orders in federal jurisdictions requiring documented due diligence on AI-generated legal content prior to filing.

Benchmark Performance Evaluated against a defined citation dataset. Reported results include fabrication detection accuracy and error rates. Associated intellectual property includes filed provisional patents covering system architecture and orchestration methodology.