OpenAI has launched Astra for Law, a legal-focused configuration of its latest GPT-6 Astra model designed to help law firms and legal technology companies carry out legal research, analyse authorities, review transactions, draft documents and build customised AI workflows around their own precedents and institutional knowledge.
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Announced on September 17, 2026, Astra for Law is not a separate foundational model. Rather, it combines GPT-6 Astra with a dedicated legal search index, specialised instructions for legal analysis and writing, legal-specific settings, privacy controls and integrations with software already used by lawyers. OpenAI says the objective is to provide a foundation on which firms can build tools reflecting their own methods, standards and professional judgment.
For law firms, one of the most significant additions is a Legal Search Index capable of searching U.S. case law, statutes, regulations, court rules and administrative decisions across a corpus of more than 230 million URLs, with new sources being added daily. OpenAI said its collaboration with the Free Law Project brings into the system a case-law collection covering more than 99.9 per cent of published U.S. precedential decisions.
This means a lawyer can begin with the facts of a client’s problem and ask the system to locate relevant authorities, identify passages bearing directly on the issue, distinguish binding from less persuasive authority, examine cases that weaken the client’s argument and then use that research to develop a legal position.
OpenAI said the specialised instructions also help Astra for Law distinguish a court’s holding from other observations, apply authorities to a client’s facts, develop arguments and deal terms, expose weaknesses in a proposed position and explain how provisions in an agreement may alter the allocation of risk between parties.
The company says this could substantially change a familiar law-firm workflow in which lawyers traditionally conduct legal research in one platform and then move the results into another AI system for analysis and drafting.
Sullivan & Cromwell partner John Savva, whose firm previewed the technology, said early versions demonstrated considerable research depth and sensitivity to legal authority across litigation and transactional work. OpenAI says Astra for Law is intended to bring research and analysis closer together while still requiring lawyers to examine the authorities on which an answer is based.
The platform is also designed to make a firm’s own precedents, negotiating positions and accumulated knowledge available within controlled AI workflows.
For example, Sullivan & Cromwell has developed an agreement analyser that combines its negotiating playbooks and selected precedents with a new transaction. The system can identify risks that arise when contractual provisions are read together and convert its findings into proposed redlines and draft client advice for lawyers to review and refine.
At Ropes & Gray, the technology has been used to develop an M&A due-diligence system around the way its lawyers review data rooms. It can trace findings back to source documents and identify issues capable of affecting an acquisition, including whether important customer contracts require notice or consent before a transaction proceeds.
Cooley, meanwhile, has developed GO Public, a system applying the firm’s capital-markets expertise to the process of taking companies public. The tool can assist with drafting an IPO filing, identify risks requiring management attention and carry changes in a transaction across the relevant parts of the filing so lawyers can assess the resulting implications.
These examples indicate that law firms could use the platform not simply as a question-and-answer chatbot but as a foundation for repeatable workflows covering contract review, transaction due diligence, litigation research, legal memoranda, client advice, precedent comparison, disclosure drafting and risk identification.
OpenAI has also launched 26 partner-built legal plugins, allowing Astra for Law to connect with specialist products and information systems already used by firms.
With iManage, for example, a lawyer can prepare a negotiation brief in ChatGPT and save it to the relevant matter file. Intapp can identify activities that may need to be reviewed for time entries, while DeepJudge can retrieve earlier firm deals for comparison. Thomson Reuters is bringing HighQ matter context into ChatGPT and is previewing a forthcoming CoCounsel Legal connector. Other partners named around the launch include Relativity and Clio.
The integrations are significant because they could allow a lawyer to work across legal research, firm documents, precedent banks, deal information and matter-management tools without repeatedly moving information manually from one system to another.
OpenAI is also making ChatGPT for Word generally available, giving lawyers the ability to work with AI inside a drafting environment they already use. Among the stated functions are proofreading, suggested edits and identifying formatting problems in legal documents.
Beyond the commercial integrations, the launch includes nine community plugins developed by lawyers and legal engineers at LegalQuants, LECG and Skills.law, incorporating 47 custom skills that practitioners can adapt or use as examples when building their own legal workflows.
OpenAI says law firms can also build private tools connecting their own proprietary information and methods to ChatGPT, potentially allowing a firm to turn its internal precedents, checklists, drafting conventions and specialist knowledge into reusable AI-assisted systems.
Confidentiality and professional governance are another major part of the offering. OpenAI has created a Trusted Access Program for eligible law firms. For qualifying firms, it says the offering includes Zero Data Retention on the API, while ChatGPT Enterprise use is excluded from human review by default.
The company has also been working with Latham & Watkins on controls dealing with information permissions, ethical walls, client instructions and firm oversight — matters that become particularly important where lawyers intend to use AI with privileged or confidential client material.
OpenAI nevertheless tells lawyers to review answers and the underlying cited sources before relying on the system. Its Help Center describes Astra for Law as a tool that can research questions based on client facts, develop arguments and deal terms and consider objections, but stresses the need to examine the authorities it returns.
The company has also published early performance figures. It tested the complete Astra for Law configuration on 200 U.S. legal research questions drawn from a private validation set of Vals AI’s Legal Research Bench.
At the highest reasoning setting, OpenAI said Astra for Law passed the benchmark’s overall correctness test on 54 per cent of questions, compared with 38.7 per cent for the ordinary GPT-6 Astra using web search alone described by the company as a 40 per cent relative improvement. On case-law questions, it said Astra for Law located 24 per cent more reference cases, while retrieving up to 54 per cent more relevant passages from the correct opinions in another comparison.
Those figures are comparisons with GPT-6 Astra using ordinary web search, however, and not with leading subscription legal-research databases. OpenAI itself says its legal index is intended to complement, rather than replace, licensed specialist products such as those supplied by Thomson Reuters.
Legal technology companies are also expected to build on the platform. OpenAI says API customers including Harvey and Legora will be able to incorporate Astra for Law into their own products and workflows.
Access is initially limited. Astra for Law is being offered to selected law firms through the Trusted Access Program in ChatGPT and Codex, where it appears as “GPT-6 Astra Law,” while dedicated API access is expected subsequently.
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