Legal Workflows and Knowledge Graphs

Session Track: AI Engineering

Session Time: 11:00 pm - 11:15 pm November 6

Session description

Legal practitioners struggle with statutes, precedents, and deadlines locked in unconnected silos, slowing research and decision making. In this session, Antonio will show how Neo4j-powered knowledge graphs will transform those fragmented sources into a single, queryable network that mirrors real-world legal relationships. You will trace the path from raw court judgments to a graph model linking parties, facts, citations, and procedural steps as well as build ingestion pipelines that will surface critical connections in milliseconds. By the end of the session, you will be able to design a domain model, automate ETL, and craft queries that will power smarter legal assistants, docket tracking, and compliance dashboards, equipping you to bring graph-level intelligence to every step of the legal workflow.