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Explore how knowledge graphs enhance litigation agents in this 19-minute conference talk that demonstrates the critical importance of structured representations in legal applications. Learn how relationships between clauses, documents, entities, and multiple parties require structured context injection to reduce hallucinations and improve agent reliability. Examine real-world production systems through detailed case studies, including recursive contractual clause retrieval and human-in-the-loop legal reasoning news agents. Discover practical techniques for implementing structured representations that significantly boost the effectiveness and accuracy of AI agents in legal contexts, with insights from WhyHow's experience building legal AI systems.
