This project is a fully self-directed and implemented legal AI chatbot system designed to enhance the efficiency and accuracy of legal research across multiple jurisdictions. I developed four distinct chatbots: one for South Korean law, one for UK law, one for US law, and a specialized tool for generating legal citations in OSCOLA (Oxford University Standard for the Citation of Legal Authorities) format. Each chatbot was built through prompt engineering and iterative refinement to ensure legal accuracy, clarity, and contextual relevance.

The chatbots assist users in understanding complex legal materials by identifying relevant statutory frameworks, leading cases, and doctrinal principles across different jurisdictions—including Korean, UK, and US law. The OSCOLA Reference Bot, on the other hand, streamlines the citation process by formatting academic legal references based on user input, reducing the burden of manual citation work for students and researchers.

What sets this project apart is its focus on domain-specific prompt engineering tailored to each legal system. Rather than offering generic answers, the chatbots are optimized to respond in structured, citation-friendly formats, making them suitable for legal memos, essays, academic footnotes, and comparative legal analysis.