Knowledge Graphs in Litigation Agents — Tom Smoker, WhyHow
Jul 22, 2025 · 19:13
Tom Smoker, founder of WhyHow.ai, explains how his company uses Graph RAG and multi-agent systems to find class action and mass tort cases early, often months before law firms. They scrape the web, structure data into graphs with consistent schemas, and use LLMs to pipe together ML-filtered pipelines, achieving early signal detection within 15 minutes. Smoker highlights that while single agents can reach 95% accuracy, chaining five agents reduces expected accuracy to 77%, necessitating guardrails and human-in-the-loop. Graphs provide extensible, prunable state control for personalized lawyer workflows, enabling generation of specific reports from subgraphs. Examples include tracking car fire complaints density and velocity to identify lawsuits early, and using graphs to organize discovery documents for faster review.
