Legal Natural Language Processing

Legal Natural Language Processing (Legal NLP) aims to leverage computational methods to analyze and understand legal text, improving access to justice and legal efficiency. Current research focuses on tasks like question answering, legal outcome prediction, and contract analysis, often employing transformer-based models like BERT and LLMs such as GPT and Llama, with a growing emphasis on explainability and addressing data scarcity through techniques like data augmentation. These advancements hold significant potential for improving legal research, automating compliance tasks, and enhancing the accessibility of legal information for both professionals and the public.