Learn how law firms can inject conditional logic into AI legal agents to automate tasks, reduce errors, and boost efficiency—without sacrificing oversight.

Streamline legal research with Intelligent Query Decomposition—break complex questions into actionable sub-queries for faster, more precise legal answers.

Latent tool use and function routing let legal agents autonomously call tools like citation checkers and drafting aids—streamlining workflows and boosting accuracy.

Graph-structured retrieval maps legal precedents as networks, helping lawyers surface authoritative, cited, and context-rich cases faster and more accurately.

Make legal research time-aware. Temporal indexing helps lawyers retrieve the most current, authoritative case law for motions, briefs, and court arguments.

Hierarchical embeddings simplify multi-jurisdictional legal queries, delivering fast, precise answers across borders by capturing layered legal meaning.