OpenAI released Astra for Law, a specialized AI product built on GPT-6 Astra that combines legal research capabilities with custom instructions for legal analysis and writing. Law firms can use it to build their own AI applications while maintaining client confidentiality and ethical controls.

• Astra for Law includes a legal search index and custom instructions designed to ground legal research in precise citations and authorities, rather than generating unsupported answers
• The product is designed with "legal-grade trust and controls" including information permissions, ethical walls, and client instructions, developed with input from Latham & Watkins
• It's positioned as a foundation for law firms and legal tech companies to build custom workflows around their own expertise, not a replacement for existing legal research tools like Thomson Reuters

Law firms lag behind AI’s rapid technical advances because they treat tools like add-ons instead of rebuilding workflows around them. The real opportunity lies in “absorption”—writing firm-specific practices into models, training lawyers on prompt anatomy, and embedding new procedures at the practice level. Those who tear up the old billable-hour floor and automate production will secure a lasting edge.

• Feeding models full case context (client background, goals, deal terms, risks) turns generic output into polished work product, unlike shallow prompting
• Software engineers already get AI to write 80% of production code, roughly 4x'ing their output—lawyers lag far behind this
• Solo practitioners/boutiques without institutional bureaucracy compress a day of research into 20 minutes and a week of document review into an afternoon
• The real opportunity is rebuilding legal workflows around AI (absorbing it into practice) rather than treating it as a bolt-on summarization tool