Clauseforge AI — Legal Document Automation

The Problem

Filing legal documents is slow, error-prone, and jurisdictionally hostile. Every court has its own PDF forms, its own pleading formats, and its own validation rules — and a formatting error can get a filing rejected outright. Doing this by hand, across all 50 states, does not scale.

Approach

• Built an AI document automation platform on Flask and Python that fills court PDF forms, generates pleadings, and validates jurisdiction-specific formatting across all 50 states.
• Powered the multi-step document workflow with Google Gemini — assembling, filling, and checking legal artifacts rather than generating them in a single pass.
• Enforced strict jurisdictional validation so output conforms to the target court's required formatting, not just plausible-looking text.
• Developed with Claude Code and released under an MIT license, making the workflow reproducible and extensible.

Outcomes

A working legal document automation platform covering all 50 states, powered by Gemini and built on a Flask/Python stack. It demonstrates applied multi-step AI document workflows where the constraint is not generation quality alone, but strict adherence to jurisdiction-specific formatting rules — the difference between a filing a court accepts and one it rejects.