Namig Abbasov is the AI & Technology Initiatives Librarian at the Robert Crown Law Library, where he develops AI-driven systems and agentic workflows for legal education and research. His work centers on practical implementation of large language models in legal environments, including the design of NLP pipelines, retrieval systems, and workflow automation tools that support research, analysis, and institutional experimentation with emerging AI technologies. He is particularly interested in epistemic limitations of generative AI systems, including omission, sycophancy, and reliability in AI-assisted legal reasoning.

Before joining Stanford Law School, Namig worked as a Digital Humanities Analyst at Arizona State University, where he applied computational and statistical methods to interdisciplinary research projects. His background spans qualitative and quantitative data science, including Bayesian modeling, survival analysis, causal inference, and experimental design. Alongside his technical work, he maintains a broader intellectual interest in the scientific foundations of computation and intelligence, particularly how advances in physics, information systems, and machine learning shape the development of modern AI.