Legal Education

Legal education and practice are undergoing transformation driven by the application of large language models (LLMs) to legal tasks. Current research focuses on leveraging LLMs for tasks such as legal document generation, case analysis, and information retrieval, often comparing LLM performance against human lawyers and exploring biases inherent in these models. Key areas of investigation include mitigating biases, improving the accuracy and reliability of LLM-generated legal content, and developing responsible guidelines for their implementation to ensure ethical and effective use. This research holds significant implications for improving access to justice, streamlining legal processes, and enhancing legal education, but also necessitates careful consideration of potential risks and limitations.