Tom Smoker

This talk explores the application of knowledge graphs and multi-agent systems within the legal industry, specifically for identifying and supporting class-action lawsuits. It details how unstructured data from web scraping and legal discovery can be transformed into structured graphs to aid legal professionals in case research and analysis. The core thesis is that by leveraging these technologies, complex legal data can be made more accessible, accurate, and actionable for lawyers.