Legal AI

OpenAI has introduced Astra for Law, a legal AI offering built around custom firm workflows, connected data, and controls for confidential client work.

Harvey has reached a $15.5 billion valuation in a new funding round, signaling continued investor demand for legal AI despite limited disclosed deal details.

Thomson Reuters has launched an in-house legal AI model built on Alibaba’s Qwen, signaling tighter control over performance, data, and deployment.

Thomson Reuters is spending $40 million on its own legal AI model, seeking lower costs and control over proprietary data and high-volume workflows.

Harvey has introduced Tenet, its first post-trained AI model for legal work, signaling a push toward domain-specific systems built for lawyers.

Vikk AI has raised $4.2 million to grow its legal AI platform and build lawyer ads into AI search, highlighting a new battleground for legal lead generation.

Norm has reportedly reached a $1.2 billion valuation in a new funding round, underscoring strong investor demand for AI legal software.

Anthropic added Claude integrations and legal workflow tools as law-firm AI adoption accelerates.

Prestigious law firm Sullivan & Cromwell apologized after a court filing was found to contain AI-generated hallucinations, highlighting legal AI risks.

A federal judge's ruling that AI chats cannot be shielded by attorney-client privilege has prompted urgent warnings from US lawyers to their clients.

A first-of-its-kind random-sample study by Northwestern University finds that 60% of US federal judges use at least one AI tool in their judicial work, with legal-specific platforms preferred over general LLMs.