Antonio will demonstrate combining Azure Open AI and Neo4j for the automated classification and knowledge extraction of legal documents (service agreements, professional agreements, licenses, etc.) into a Neo4j knowledge graph. The knowledge graph will provide full contract traceability and lineage through the agreement and the corresponding variations, renewals, and terminations. Combining these technologies provides law firms with a fully contextualized and enriched view of their unstructured data. In the demo, a ChatBot QA interface will interact with documents by accessing the indexed content and the Neo4j knowledge graph, providing highly accurate responses to the users.

With Antonio Zaballos

Get certified with GraphAcademy: https://dev.neo4j.com/learngraph
Neo4j AuraDB https://dev.neo4j.com/auradb
Knowledge Graph Builder https://dev.neo4j.com/KGBuilder
Neo4j GenAI https://dev.neo4j.com/graphrag