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11 September 2026
MatterIndex

MatterIndex

Find the Source, not the filename: A local-first privacy focused legal workspace

Kavya PradeepWebsiteVideo

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About the Project

Lawyers, advocates, legal proffesionals, law students and others in the legal field waste hours digging through messy folders, trying to recall whether a critical piece of evidence was hidden in a memo, an exhibit or an old draft. Traditional desktop search stops at the filename or drops you onto page 1 of a massive PDF, forcing you to manually re-read documents to find what you need.

This project is a local-first document workspace designed specifically for legal work. It organizes files by matter, automatically categorizes them and enables deep full-tex passage search across entire case files.

Instead of returning a vague list of files, the app identifies the exact matching excerpt, highlights key terms and jumps directly to the source passage in the document. Operating entirely on your local machine with SQLite-powered index, it requires zero cloud APIs, no external LLMs and no internet access thereby gauranteeing complete client confidentiality and zero data leakage. When advanced AI search is required, it offers flexible Bring Your Own API extensibility - allowing teams to securely connect to their firm's approved cloud API or private LLM provider without compromising underlying worflow control and ensure privacy.

Practice Areas

Key Features

  • Matter Based Workpace: Create distinct legal matters that isolate evidence, research and drafts so unrelated case files never cross paths.
  • Passage Level Full Text Search: Query real facts and arguments using high-speed FTS5 indexing, jumping straight to the highlighted paragraph and exact PDF page rather than just a filename.
  • Firm-Controlled AI: Flexible architecture allows you to plug in your firm’s private LLM or approved enterprise AI endpoint without risking third-party data sharing.
  • Automatic Document Ingestion and Classification: Upload PDFs, DOCX and TXT files to automatically extract text, split into passages and categorise them into legal buckets.
  • Transparent, Customizable Rules: Inspect the reasoning behind every automated classification, override categories on demand or create custom keywoed rules tailored to your workflow.
  • Unifies Source Viewer: Inspect extracted text chunks side by side with original files featuring an integrated inline PDF viewer.
  • Context Preservation ("Where you Left off"): Automatically track your recent searches, uploads and edits per matter so you can resume work without re-orienting.
  • 100% Offline and Private: Built with a strict local-first architecture, no cloud databases, external APIs or data transmission required.

About the Creator

KP
Kavya Pradeep