Astra for Law is a purpose-built configuration of the GPT-6 Astra model designed to handle the complexities of legal research and analysis. By integrating a specialized legal search index—covering over 230 million URLs and 99.9% of published U.S. precedential case law via the Free Law Project—the model significantly outperforms standard web-search configurations. In testing against the Vals AI Legal Research Bench, Astra for Law achieved a 54% correctness rate compared to 38.7% for standard GPT-6 Astra, representing a 40% relative improvement in research accuracy.

End-to-End Workflow Integration

Beyond research, the model is configured with custom instructions for legal writing and analysis. It is designed to distinguish between court holdings and secondary observations, address counter-arguments, and identify risk-shifting in contract exceptions. The platform allows law firms to build custom applications around their proprietary precedents and playbooks. Examples include:

  • Agreement Analyzers: Tools that ingest firm-specific playbooks to identify risks in new deals and draft proposed redlines.
  • Diligence Systems: Automated systems for tracing findings back to source documents in data rooms.
  • Drafting Assistants: Integration with Microsoft Word to provide real-time proofreading and formatting assistance.

Governance and Ecosystem

Recognizing the high-stakes nature of legal work, OpenAI has implemented a Trusted Access Program for eligible firms, which includes Zero Data Retention (ZDR) on the API and the exclusion of ChatGPT Enterprise data from human review. The platform is designed to be interoperable, launching with 26 partner-built plugins that connect to existing legal software like Relativity, Clio, iManage, and Thomson Reuters' HighQ/CoCounsel. This composable approach allows firms to maintain their existing tech stack while layering on frontier AI capabilities.