Citation Verification

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.