Independent AI verification for law firms. Citations checked against court databases, AI summaries checked against your private documents.
Attorneys who file AI-generated citations without independent verification face monetary sanctions, bar referrals, and permanent reputational damage. 1,847 documented decisions worldwide, 719 of them involving a practising lawyer. The rate is accelerating.
Patent pending · EU AI Pact Pillar II Signatory · Built on open-source court data
Every citation passes through an adversarial verification pipeline — independent of the AI that generated it.
Parses the AI-assisted filing and extracts every case citation, statutory reference, and legal holding for independent verification.
Challenges each citation against CourtListener's federal case database. Verifies existence, validates holdings, flags mischaracterizations. A deterministic scorer overrides LLM opinion on hard failures.
Weighs both arguments and renders a verified determination. Generates a tamper-proof SHA-256 hashed compliance certificate documenting the full deliberation trail.
Output: Court-defensible PDF certificate — citation verification table, SUSTAINED/OVERRULED challenges, SHA-256 hash, methodology disclosure, attorney responsibility statement. Compliant with NDTX, EDMI, and Fifth Circuit AI disclosure requirements.
Run against the Stanford RegLab preregistered dataset. Results locked at frozen Cloud Run revision. Not marketing claims, benchmark methodology.
| Metric | Result | Sample | Notes |
|---|---|---|---|
| Fabrication Detection | 100% | 45 / 45 cases | Every AI-fabricated citation flagged. No fabricated output passed as verified. |
| Overruled Citation Recall | 96.8% | 214 / 221 cases | Overruled citations presented as good law. Validated against the complete set of 225 overruled Supreme Court citations in the Stanford RegLab preregistered dataset, using only open-source CourtListener data. |
| False Leniency Rate | 0% | Full test set | The sole pass/fail gate for any model upgrade. No verified output contained a material error. |
| Document Fabrication (v2) | Detected | Synthetic SPA test | £4.5M purchase price fabrication, wrong Long Stop Date, wrong escrow period, and additional material errors caught in one pass. |
the complete set of 225 overruled Supreme Court citations in the Stanford RegLab preregistered dataset. Frozen Cloud Run revision 00113. Built entirely on open-source CourtListener data. No commercial citator dependency. 0% false leniency is the sole pass/fail gate for model upgrades. 0% false positives on 48 verified citations. Three-stage waterfall enrichment: standard scan, deep cite scan (150 opinions), and corpus search recover treatment signals beyond the citation graph.
Upload any private document. Paste the AI's output. VariLegal verifies every claim the AI made against the actual document text — and certifies what it got right, wrong, and omitted.
PDF or text. Contract, due diligence memo, policy, clinical document. Your document becomes the ground truth. It never leaves your control.
The summary, extraction, or analysis Harvey, Legora, or CoCounsel produced from your document. VariLegal does not need access to those platforms — only their output.
Claim-by-claim analysis. Every finding traced to a specific passage in your document. SHA-256 hashed. Tamper-evident. Ready for the file.
No citator required. Document Mode operates entirely outside any citation database. Your document is the source of truth. No Westlaw. No CourtListener. No third-party data agreement.
A Harvey-style AI summary of a Master Services Agreement was verified against the source document. Six material errors found in one pass:
Confidence score 0.25. The AI achieved 31% accuracy across 13 claims. Three financial terms were fabricated. Two numerical values understated by 40–50%. One legal standard mischaracterized. Certificate hash: 028d31f6f746a4a9...
Every VariLegal certificate is SHA-256 hashed at generation. Tied to the exact content verified, the agent verdicts, and the timestamp. Any subsequent alteration invalidates the hash.
When opposing counsel, a bar disciplinary panel, or a client asks whether the firm exercised documented oversight of AI-generated work product, the VariLegal certificate is the answer. Not a policy. Not a procedure manual. A record, with a hash.
VariLegal does not replace Harvey, Legora, or CoCounsel. It runs after them. Generate with the tool of your choice. Verify with VariLegal. Attach the certificate to the matter file.
Legal AI use is classified as high-risk under EU AI Act Article 22. VariLegal certificates provide the documented human oversight record required for compliance, structured, auditable, produced at the point of use.
VariLegal ran as a production service verifying citations against CourtListener's federal case database and returning a compliance certificate in under 90 seconds. The environment is currently held offline and can be restored for evaluation.
Citation Mode verifies AI-generated citations against CourtListener's federal case database. Document Mode verifies AI summaries and extractions against your own uploaded documents, with no external citator dependency and no third-party data agreement.
Built on a commercial agreement with the Free Law Project. Benchmark methodology and results are published open access.
VariLegal operates as an independent middleware dependency between AI output and regulatory submission — not affiliated with, not replaceable by, the AI that generated the original output.
Enterprise law firms are demanding independent AI citation verification before filings. Platforms that can demonstrate independently verified, audit-logged citations win enterprise deals and reduce institutional risk.
The defensibility layer that legal AI platforms will need as judicial scrutiny intensifies.AI does not appear on the signature line. The attorney does. Independent adversarial verification is the documented record that stands between a partner and a sanctions motion.
Verification is not a feature your AI vendor will build for you. It is structurally impossible for them to build it. An AI platform cannot independently verify its own output. Independence is the product. That is what VariLegal delivers.
KeyCite and Shepard's are the authoritative data sources for citation treatment. VariLegal is the independent verification layer that acts on that data. Together they close the gap between AI-generated output and a defensible court filing. Neither does it alone.
The benchmark is complete. 70% overruled recall gap against KeyCite's own treatment data. 100% fabrication detection. Zero false leniency. Validated against the Stanford RegLab dataset. Document Mode extends verification to private documents — no citator stack required. The work is done — the integration conversation is what remains.
Discuss IntegrationVerify AI-generated briefs, memos, and research before filing. Catch fabricated citations before opposing counsel does. Attach the certificate to the matter file as documented due diligence.
Upload the definitive agreement. Run AI-generated contract analysis through Document Mode. VariLegal flags discrepancies in purchase price, dates, thresholds, and operative provisions against the source text.
Documented human oversight of high-stakes AI outputs, structured, auditable, and produced at the point of use. The record your regulators and clients can read.
Courts sanctioning AI citations. The EEOC scrutinizing algorithmic hiring decisions. Insurance regulators auditing AI underwriting. Energy regulators examining AI-influenced grid operations. These are not separate problems. They are the same regulatory arc: consequential AI decisions, made without independent verification, in domains where the exposure is existential. Legal is the domain where the architecture was built out and measured. The architecture extends to wherever that arc applies.
The same adversarial verification architecture, Advocate, Adversary, Arbitrator, with a deterministic auditor as System of Record. Regulatory frameworks differ. The methodology does not.
VariLegal was built, benchmarked, and run as a production verification service. The system is currently held offline. Serious evaluation, partnership, and licensing inquiries are welcome, and the environment can be restored for qualified engagements.
Benchmark methodology and results are published open access on Zenodo.