معرفی
Beenish Chaudhary serves as Visiting Lecturer at the University of Buckingham's School of Law within the Faculty of Computing, Law and Psychology, teaching across foundation, undergraduate, and postgraduate programmes since 2020. Her academic focus centers on technology's impact on legal systems, particularly AI-driven judicial processes and regulatory frameworks.
Her educational qualifications include:
- BA in Economics
- LLB from Pakistan
- LLB (Hons) with First-Class honors (UK)
- LLM with Distinction (UK)
Dr. Chaudhary's research critically examines the ethical boundaries of AI in law through multiple lenses: adjudicative AI systems, algorithmic accountability mechanisms, and data governance frameworks. She investigates corporate compliance structures, financial crime intelligence methods, and regulatory approaches for SMEs, consistently probing where human judgment remains essential in technologically augmented legal processes. Her work bridges theoretical legal scholarship with practical litigation insights.
Recent publications demonstrate concentrated expertise in judicial AI applications, with the 2024 journal article analyzing systemic risks in AI-judicial integration and the 2025 Supreme Court brief addressing due-process implications of generative AI in adjudication. These works reveal a consistent pattern of examining accountability gaps and institutional safeguards in emerging legal technologies.
No scientific awards were documented in the available information.
With professional litigation experience spanning banking, employment, and commercial law, Dr. Chaudhary brings practical evidentiary reasoning to academic scholarship. While specific student supervision details aren't provided, her teaching portfolio covers multiple academic levels, and her publications indicate active scholarly engagement despite the absence of disclosed grant funding.
As is typical in legal academia, no formal research laboratory is associated with her work; scholarship occurs through doctrinal analysis and case-based research rather than experimental facilities.
