Powering Legal Research with Knowledge Graphs and Large Language Models

Session Track: AI Engineering

Session Time: 03:30 pm - 04:00 pm November 6

Session description

The EU competition case database is a critical reference tool for competition law experts at the Central Bank of Egypt. However, its current linear format with limited metadata-based search makes it difficult to identify complex patterns such as recurring legal grounds, overlapping corporate entities, or coordinated criminal networks. To address these limitations, the data science team transformed open-source EU Commission cases – spanning mergers, antitrust, and cartels – into a legal knowledge graph that enables more sophisticated analysis and pattern recognition. The team developed a NeoDash dashboard that allows experts to interact with the knowledge graph through natural language queries, visualizing results as bar plots, tables, and subgraphs tailored to specific legal questions. In this session, Basant will open by explaining the competition law research workflow and contextualizing the problem, Ahmad will discuss the technical modeling process from raw data to knowledge graph, and Dr. Asmaa will conclude with a live demonstration of the dashboard. These insights support more informed research and contribute to proactive financial market regulation.

Speakers

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.

Ahmad Abdelaal

Former Data Science 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.

dr Asmaa

central bank of Egypt, head of market monitor, competition unit

Dr. Asmaa Sami Amin is an economist specializing in market analysis, forecasting, and policy advice. She builds accurate demand and supply price forecasts by analyzing market trends and firm performance, and she compiles, analyzes, and reports data to clarify economic phenomena. Her work includes designing and conducting surveys, applying sampling techniques, and turning empirical findings into clear recommendations, policies, and plans to address economic problems and interpret markets. She advises businesses and both public and private agencies on economic relationships and market dynamics. Currently a Senior Economic Researcher in the Competition Unit at the Central Bank of Egypt (April 2024 – present), she leads market monitoring and impact assessment efforts, ensures team compliance with competition laws and regulations, and provides technical direction and consultation to colleagues. She represents the unit in interviews, trainings, seminars, and workshops locally and abroad, and contributes to departmental planning and communication. before the central bank, 2014-2024 she worked as a lead economic researcher at the competition authority cabinet of ministries