audit-check

This Skill audits legal footnotes in DOCX documents by combining Python-based mechanical formatting checks with Gemini and Claude AI analysis to verify source types, typeface correctness, and cross-footnote consistency according to Bluebook standards.

Yes, this Skill uses Gemini to classify source types and verify typefaces via the Batch API, then applies Claude to analyze inter-footnote patterns such as supra chains and hereinafter usage, ensuring cross-footnote citation consistency.

Mechanical checks for Bluebook footnote formatting perform deterministic Python tests to identify common errors like incorrect small caps, signal italics, and terminal periods before submitting extracted formatted footnotes to the AI analysis stage.

Yes, the legal citation audit process requires Python dependencies including pandas, python-docx, and google-generativeai to extract formatted footnotes from DOCX documents and submit them to the Gemini Batch API for AI analysis.

The best way to automate checking small caps and signal italics in legal briefs is using this Skill's deterministic Python mechanical checks on DOCX documents, which identify formatting errors before validating source type classifications and cross-footnote patterns with AI.

The cross-footnote review uses Claude because it conducts a final review to analyze inter-footnote relationships and filter errors, ensuring consistency in supra chains and hereinafter usage that mechanical checks and initial AI analysis might miss.