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This post is the sixth in a series about how to implement legal AI that knows your law firm. Discover why an “always on” enterprise search engine is essential for scalable AI adoption, enabling real-time access, security, and governance across firm data.
This post is the fifth in a series about how to implement legal AI that knows your law firm. Discover how AI can securely use your law firm’s data by respecting permissions, ethical walls, and client confidentiality without vendor lock-in.
This post is the fourth in a series about how to implement legal AI that knows your law firm. Discover why effective legal search goes beyond keywords and federated tools. Learn how enterprise search informed by full institutional knowledge helps law firms unify data, improve retrieval, and empower AI with context.
This post is the third in a series about how to implement legal AI that knows your law firm. Learn why legal AI requires more than keyword or semantic search alone. Discover how combining both methods enables accurate, scalable information retrieval across fragmented law firm data.
This post is the second in a series about how to implement legal AI that knows your law firm. Learn how Retrieval Augmented Generation (RAG) boosts precision, reduces hallucinations, and creates smarter, more contextual AI systems.
In our latest team spotlight, JJ shares what drew her to DeepJudge, how she thinks about AI in law, and why the best legal tech starts with listening to the lawyers who serve real people.
This post is the first in a series about how to implement legal AI that knows your law firm. Discover why using standalone LLMs as search engines in legal practice is risky. Learn how retrieval-augmented generation (RAG) systems offer safer, firm-specific AI solutions.
