Court View Generation

Court view generation (CVG) aims to automatically summarize legal cases and generate concise explanations of verdicts, a crucial task in legal artificial intelligence. Recent research focuses on improving CVG accuracy and interpretability using large language models (LLMs) and transformer architectures, often incorporating knowledge injection techniques and exploring the dependencies between sub-tasks like charge prediction and penalty determination. These advancements enhance the efficiency and effectiveness of legal analysis, potentially streamlining judicial processes and improving access to justice.