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Bluebook Legal Citation Auditor

edwinhubyedwinhu
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16
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Content Management

Automates the multi-stage auditing of legal citations in .docx files using mechanical Python checks, Gemini batch analysis, and Claude cross-footnote verification.

The audit-check skill provides a rigorous, three-layer validation process for legal documents to ensure compliance with Bluebook citation standards. It combines deterministic Python scripts for mechanical errors like formatting and terminal periods with advanced AI auditing via Gemini and Claude. By analyzing every footnote individually and then reviewing the entire document for cross-citation consistency (such as supra and hereinafter chains), it catches subtle errors that manual review or single-agent AI analysis might miss. This tool is essential for legal professionals, law review editors, and researchers requiring absolute accuracy in their legal formatting and documentation.

Key Features

0116 GitHub stars
02Mechanical Python checks for deterministic Bluebook rules like signals, terminal periods, and small caps formatting.
03Advanced handling of non-breaking spaces (NBSP) and Word-specific formatting markup to prevent silent audit failures.
04Claude-driven cross-footnote review to validate supra chains and hereinafter consistency across the entire document.
05Full-scale Gemini Batch API integration to audit every footnote for source classification and abbreviation accuracy.
06Priority-based findings merging that weights mechanical accuracy over AI suggestions to eliminate false positives.

Use Cases

01Verifying law review article citations for typeface and Rule 2 compliance before publication.
02Auditing complex legal briefs to ensure Id. and supra chains remain valid after structural edits.
03Automating abbreviation checks against T6 and T13 tables for large-scale legal datasets.