The audit layer for AI-generated content
Upload an AI-generated research note, legal brief, or governance report. Get claim-level verdicts, cited evidence, and a reviewer-ready reasoning trail before your team signs off.
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AI-hallucination legal cases
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GenAI pilots show no return
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GenAI projects abandoned
Sources: Charlotin / HEC Paris · MIT NANDA · Gartner
Varghese v. China Southern Airlines Co., 925 F.3d 1339 (11th Cir. 2019)
No such case exists — a now-documented AI-generated citation fabrication.
Shute v. Carnival Cruise Lines, 499 U.S. 585 (1991) held forum-selection clauses unenforceable against consumers
Reverses the real holding — the Supreme Court found the clause enforceable, not unenforceable.
Zicherman v. Korean Air Lines, 516 U.S. 217 (1996) permits recovery for purely emotional injury
Misstates the holding — Zicherman bars damages for purely emotional harm under the Warsaw Convention.
Rivera v. Metro Transit Authority, 412 F.3d 880 (2d Cir. 2009)
No matching Second Circuit case exists — the citation points to a different court and case.
Audit pipeline
- 1Parsedet.
- 2PlannerDeepSeek
- 3AtomizerDeepSeek
- 4Check-worthinessDeepSeek
- 5Review gatedet.
- 6Verify★ MiroMind
- 7Skeptic challenge★ MiroMind
- 8ConsistencyDeepSeek
- 9Confidencedet.
- 10ReporterDeepSeek
It is already happening
Top firms have shipped AI fabrications — in public.
Deloitte refunded a government report. EY pulled a study. Law firms were sanctioned. All for AI-invented citations.
See the incidents →What it catches
Four types of AI content failure.
One autonomous verifier investigates every claim — choosing its own sources and strategy — while a consistency checker scans for claims that contradict each other. Risky claims move into a review queue instead of disappearing inside a summary.
Fabricated references
Searches academic and public registries — such as Crossref, arXiv, and SSRN — to confirm a cited work actually exists. Missing papers, cases, or filings get flagged.
Misrepresented sources
Fetches the original source and compares paragraph-by-paragraph. What was claimed vs. what was actually said.
Outdated data
Checks figures and dates against authoritative primary sources on the live web — such as SEC filings, FRED, the World Bank, and IMF.
Internal contradictions
Pairwise consistency check across claims within the same document. Page 3 says X, page 12 says not-X.
Powered by MiroMind
Deep research, only where it counts.
The verifier runs on MiroMind's mirothinker-1-7-deepresearch — an autonomous agent that picks its own tools and searches the live web.
How Argus uses MiroMind →How it works
Two phases. One audit.
A LangGraph state machine fans verification out in parallel, then merges the findings without race conditions.
Parse & atomize
PDF or text is parsed, then broken into atomic, independently verifiable claims. A checkworthiness gate filters trivial statements.
Autonomous verification
A self-directed verifier investigates each claim in parallel — choosing its own tools and sources, constrained only by the output schema. A consistency checker runs alongside it to catch claims that contradict each other.
Confidence & cross-verification
Each verdict is corroborated against multiple independent, authoritative sources. Confidence is then decomposed into three auditable factors — source authority, evidence freshness, and source agreement.
Audit Pack
Findings are ranked by severity and confidence, then packaged with reviewer decisions, notes, reasoning, and source links — ready to file, attach, or cite.
Core differentiator
Reasoning you can read.
Every web search, every fetched source, and every reasoning step is recorded and streamed live. This isn't a black-box confidence score — it's a readable, auditable chain of evidence.
- Watch verifier activity stream in real time via WebSocket
- Every source URL is clickable and verifiable
- Every verdict ships why it's wrong and the correct answer
- Reviewer decisions stay attached to each finding
- Confidence decomposed into 3 auditable factors
Who uses Argus
Built for teams that receive AI output.
Legal & compliance
Opposing counsel filed a brief drafted with AI. Flag fabricated cases before you cite them back. Evidence trail built to file.
AI governance
Your analysts paste ChatGPT into board memos. Argus is the checkpoint between 'the model said it' and 'we signed off on it'.
Investment & research
A 40-page AI research note arrived from a vendor. You can't read it all; you can't trust it all. Argus surfaces only what's wrong.
Ready to audit?
See Argus turn an AI-drafted legal brief into a claim-level audit walkthrough with evidence, trace, and reviewer decisions — no API key needed.