Knowledge Graph for EU Competition Law Cases (Neo4j)

Designed and built a knowledge graph modeling law cases in Neo4j (10,917 cases, from 1974 to 2026), turning unstructured legal case documents into a structured, queryable graph of entities and relationships (Cases, Companies, legal Basis, Decisions, and their hidden patterns).

The work included:

-Graph schema design tailored to legal case structure (entities, relationships, properties)

-A data ingestion pipeline to extract and load case data from raw legal documents into Neo4j Cypher queries to support complex relationship-based search across cases.

This project was presented at Neo4j NODES 2025, Neo4j's official global conference.