Sangeet Sharma

Papers

Total Citations

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About

Sangeet Sharma is a legal scholar and technologist whose work sits at the intersection of artificial intelligence and judicial reasoning. In their most-cited paper, "A Study of AI-Based Systems in the Judicial Interpretation of the Law" (2024), Sharma examines how machine learning models can assist—or complicate—the interpretation of legal texts, focusing on the balance between algorithmic efficiency and the nuanced discretion required in judicial decision-making. While the paper has garnered 1 citation to date, it represents a foundational contribution to an emerging field, offering a critical framework for evaluating AI’s role in legal hermeneutics. Sharma’s research addresses pressing questions about transparency, bias, and the limits of computational logic in law, positioning them as a thoughtful voice in the ongoing debate over technology’s place in the courtroom. Their work is particularly relevant for students and researchers exploring the intersection of law, ethics, and AI, as it bridges technical analysis with deep legal theory. Sharma’s scholarship signals a commitment to shaping how future legal systems might responsibly integrate intelligent systems without sacrificing human judgment.