TruthNexus
Legal Research · Platform

Legal research with verified citations

LLMs hallucinate case citations 20–30% of the time. A hallucinated citation in a brief is a sanctions risk. Legal Mesh verifies every citation for existence, accurate quotation, and on-point application before any output is delivered — eliminating fabricated authority from the research workflow.

20–30%
LLM citation hallucination rate
ECE <0.10
Calibration target per verdict
US + EU
Jurisdiction coverage
Audit trail
Hash-chain record per verification
Capabilities

What Legal Mesh does

Citation verification

Every case citation is verified for existence, accurate quotation, and on-point application before appearing in any output. Retracted or overruled cases are flagged automatically with current status.

Precedent analysis

Identifies controlling, persuasive, and distinguishable precedent across federal circuits and state jurisdictions. Returns calibrated confidence scores reflecting circuit splits, recency, and doctrinal alignment.

Argument verification

Evaluates legal arguments against cited authority — verifying that the proposition stated is actually supported by the cited case, that quotations are accurate, and that the holding applies to the claimed fact pattern.

Multi-source legal search

Searches across US Code, CFR, case law, EUR-Lex, ECHR decisions, and international treaty bodies — with source provenance preserved at every layer.

Audience-aware explanation

Returns legal analysis calibrated to the intended reader — legal brief language for attorneys, plain-language summaries for in-house teams, and regulatory mapping for compliance professionals.

Structured audit record

Every verification produces a cryptographically signed, timestamped record: sources consulted, citations verified, confidence scores, and full rationale chain — suitable for legal file documentation.

The hallucination problem in legal AI
“Mata v. Avianca established that ChatGPT-generated briefs citing non-existent cases carry real sanctions risk. Courts have since issued standing orders requiring AI disclosure and citation verification.”

Legal Mesh verifies before delivery — not as a post-hoc warning.

Who It's For

Law firms, legal tech, and in-house teams

Law Firms
Verify citations and case holdings before filing — eliminate the risk of hallucinated authority appearing in briefs or memos.
Corporate Legal Departments
In-house counsel research with verified citations and confidence-scored analysis across regulatory and case law sources.
Legal Tech Companies
Embed verified legal citation infrastructure into document drafting, contract review, and research products without building the verification layer.
Government Legal Departments
Regulatory and statutory research grounded in US Code and CFR with full source lineage and audit documentation.
In-House Compliance Teams
Map regulatory requirements to current law with confidence scores and flagging when cited regulations have been amended or superseded.
Regulatory

ABA ethics alignment, court AI disclosure

ABA Model Rules 1.1 (competence) and 3.3 (candor toward tribunal) apply directly to AI-generated legal research. ABA Formal Opinion 512 establishes that attorneys remain responsible for verifying AI-generated citations — Legal Mesh automates that verification step.

Hash-chain audit records per verification — cryptographically signed, timestamped, and suitable for court AI disclosure certifications now required in multiple federal districts and state courts.

ECE-calibrated confidence scores distinguish controlling precedent from persuasive authority, circuit split issues, and areas of doctrinal uncertainty — surfaced explicitly rather than buried in hedged language.

ABA 1.1 / 3.3 AlignedHash-Chain Audit RecordCourt Disclosure ReadyECE-Calibrated Confidence

See Legal Mesh in your research workflow

We work with law firms, corporate legal departments, and legal tech companies. Let's talk about your citation verification problem.