Research
Citation Verification
Definition
Citation verification is the process of independently confirming that the legal citations in a document hold up: that the cited authorities exist, that quoted language matches the source, and that the authorities have not been overruled or negatively treated. In AI-assisted legal work it is the step that catches hallucinated or inaccurate references, and it supports the reviewing attorney's own verification duty rather than replacing it.
Citation accuracy has always been important in legal practice, but the emergence of AI-assisted research and drafting has made verification more critical than ever. Language models can generate citations that look perfect, complete with volume numbers, reporter abbreviations, and pin cites, but reference cases that do not exist or misstate the holdings of real cases. Without systematic verification, these errors can enter briefs, memos, and other work product.
Automated citation verification systems address this risk by checking each citation against verified legal databases. The verification process typically involves multiple steps: confirming the case exists, verifying that the citation format is correct, checking that any quoted language matches the source, evaluating whether the proposition attributed to the case is supported by its text, and confirming that the case has not been overruled or negatively treated.
The output of citation verification is typically a report that assigns each citation a confidence level and flags specific issues. A citation might be verified as accurate, flagged as non-existent (hallucinated), marked as existing but with an inaccurate holding representation, or noted as questionable authority due to subsequent negative treatment. This granular feedback allows lawyers to address each issue appropriately.
How Irys approaches this
Irys provides citation checking against available legal-source data, flagging references it cannot match and surfacing available subsequent-treatment information for review.
Related terms
Legal Tech
AI Cite Check
AI cite check is an automated system that checks legal citations in a document against authoritative sources. It checks whether cited cases can be matched to real authorities, whether quoted language matches the source, and whether holdings appear accurately represented, and it flags authorities with negative treatment such as being overruled or reversed. Its output is a set of flags for attorney review, not a substitute for that review.
Research
Good Law Check
A good law check is the process of verifying whether a cited legal authority remains valid and has not been overruled, reversed, superseded by statute, or otherwise undermined by subsequent legal developments. AI-powered good law checks automate the citator function traditionally performed by Shepard's Citations (Lexis) or KeyCite (Westlaw).
AI Concepts
AI Hallucination in Legal
An AI hallucination occurs when a language model generates text that appears authoritative but is factually incorrect, such as fabricating case citations, inventing statutes, or misrepresenting holdings. In legal practice, hallucinations carry professional responsibility implications because lawyers have a duty to verify the accuracy of every authority they cite.
Research
AI Legal Citations
AI legal citations are case references, statutory citations, and other legal authority references generated by AI systems in the course of legal research or drafting. The accuracy and verifiability of AI-generated citations is a central concern in legal AI because language models can produce citations that appear well-formed but reference non-existent authorities.
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