A developer has released a Python 3.12‑based autonomous agent that performs a preliminary legal audit of service agreements. The command‑line tool ingests contract text, compares it against a configurable rule database—such as payment terms not exceeding 45 days—and produces a detailed compliance report with pass/fail statuses and severity scores. By treating rules as data defined in PyYAML and presenting results through the Rich terminal UI, the auditor offers a lightweight yet extensible framework for early detection of missing governing law clauses, liability caps, and other policy violations.

The project demonstrates how vertical AI agents can alleviate the bottleneck in the legal review phase, allowing engineers and product managers to address obvious issues before involving legal counsel. Although the current proof of concept simulates analysis rather than invoking a large language model, the architecture is designed for future integration with real LLM APIs. The open‑source repository on GitHub provides clear setup instructions, making it a practical reference for developers seeking to embed domain‑specific compliance checks into their workflows.