CourtNav: Voice-Guided, Anchor-Accurate Navigation of Long Legal Documents in Courtrooms
Sai Khadloya, Kush Juvekar, Arghya Bhattacharya, Utkarsh Saxena

TL;DR
CourtNav is a voice-guided legal document navigator that enables judges to quickly locate specific passages in long PDFs, significantly reducing navigation time and improving efficiency in courtroom settings.
Contribution
This paper introduces CourtNav, a novel voice-activated system combining grammar-based intent classification and hybrid indexing for precise, anchor-based navigation in lengthy legal documents.
Findings
Median navigation time reduced from 3-5 minutes to 10-15 seconds.
Navigation accuracy and speed improved with anchor-based highlighting.
System maintains evidence verifiability and transparency.
Abstract
Judicial work depends on close reading of long records, charge sheets, pleadings, annexures, orders, often spanning hundreds of pages. With limited staff support, exhaustive reading during hearings is impractical. We present CourtNav, a voice-guided, anchor-first navigator for legal PDFs that maps a judge's spoken command (e.g., "go to paragraph 23", "highlight the contradiction in the cross-examination") directly to a highlighted paragraph in seconds. CourtNav transcribes the command, classifies intent with a grammar-first(Exact regex matching), LLM-backed router classifying the queries using few shot examples, retrieves over a layout-aware hybrid index, and auto-scrolls the viewer to the cited span while highlighting it and close alternates. By design, the interface shows only grounded passages, never free text, keeping evidence verifiable and auditable. This need is acute in India,…
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Taxonomy
TopicsArtificial Intelligence in Law · Topic Modeling · Multi-Agent Systems and Negotiation
