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Powering Legal Research with Knowledge Graphs and Large Language Models

Session Track: AI Engineering

Session Time:

Session description

The EU competition case database serves as a key reference for competition law experts at the Central Bank of Egypt. However, in its current linear format, it offers limited metadata-based search, making it challenging to uncover complex patterns such as recurring legal grounds, overlapping corporate entities, or coordinated criminal networks. Basant will open the session by briefly explaining the workflow of competition law research and setting the context for this problem. To overcome these challenges, the data science team ingested open-source EU Commission cases spanning five domains: mergers, state aid, antitrust and cartels, the Digital Markets Act, and foreign subsidies regulation. Ahmad will present the technical implementation, highlighting how the team: (1) modeled an ontology capturing both intracase and intercase links from the case texts, (2) constructed a legal knowledge graph using Neo4j with the aid of an LLM, and (3) used Neo4j Bloom as an interface to interact with the knowledge graph. The resulting tool empowers competition law experts to search using near natural language to visualize subgraphs representing specific legal perspectives. Such insight informs their research, ultimately leading to proactive financial market regulation. Dr Asmaa will conclude the session with a live demonstration of the product.

Speakers

photo of Basant Mounir

Basant Mounir

Senior Data Scientist, The Central Bank of Egypt

Basant Mounir is a senior data scientist at the Central Bank of Egypt, an industry expert and mentor for MIT ADSP, an AI advisor, an angel investor, and a speaker. She thrives on collaborating with stakeholders to bring their vision to life, learning whatever it takes to deliver the end-to-end product that revolutionizes their workflows. Mounir is an active community builder. She founded an award-winning data science school at her IEEE branch and, most recently, co-hosted Egypt's first GenAI agent hackathon. A global thinker, Mounir travels across Africa, Europe, the U.S., and Japan to work with and learn from their data communities.

photo of Ahmad Abdelaal

Ahmad Abdelaal

Data Scientist Intern, The Central Bank of Egypt

Ahmad Abdelaal is a driven computer scientist with a deep passion for artificial intelligence and data science. Born and educated in Egypt, Ahmad holds a Bachelor of Science in Computer Science with a major in AI, blending academic excellence with hands-on experience across research and industry.