# 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](https://github.com/astral-sh/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)

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