eFiling Automation

Automating the process of e-filing legal documents.

Project Structure

├── AGENTS.md          # AI agent instructions & project context
├── README.md          # This file
├── videos/            # Research videos: manual workflows + competitor demos
├── docs/              # Documentation
│   └── research/      # Research notes & analysis (driven by video-based skills)
└── app/               # Python codebase (managed with uv)

Overview

This project aims to automate the e-filing workflow. We take a methodical approach:

1. Research — Watch and analyze videos showing both the manual filing process and competitor solutions. Skills are built to extract and organize insights from these videos. Research findings are documented in docs/research/.
2. Build — Implement the automation as a Python application in app/, using uv for dependency and virtual environment management.

Tech Stack

• Language: Python
• Dependency Manager: uv (pyproject.toml + uv.lock)
• Video Analysis: Custom skills for research pipeline

Quick Start (after research phase)

cd app
uv sync          # Install dependencies
uv run python -m app   # Run the application