Sagar Saxena
Papers
1
Total Citations
1
H-Index
1
About
Sagar Saxena is an emerging researcher at the intersection of artificial intelligence and legal theory, with a focused interest in how AI-based systems can be applied to judicial interpretation of the law. His most-cited work, "A Study of AI-Based Systems in the Judicial Interpretation of the Law" (2024), explores the potential for machine learning models to assist in analyzing legal texts, identifying precedents, and supporting judges in decision-making processes. Though early in his career, Saxena’s contribution addresses a critical gap in the legal-tech field: the challenge of integrating AI into the nuanced, context-dependent realm of jurisprudence. His research raises important questions about algorithmic transparency, bias, and the limits of automation in law. As the field of AI and law grows, Saxena’s work offers a foundational perspective for students and researchers interested in the ethical and practical dimensions of computational legal reasoning. With his first citation already marking initial academic engagement, Saxena is positioned to influence ongoing conversations about the future of judicial technology.
Research Focus
Key Achievements
Top Papers
- 1A Study of AI-Based Systems in the Judicial Interpretation of the Law1 citations · 2024