Regulatory Document

Regulatory document analysis focuses on efficiently processing and interpreting complex legal and technical texts to extract key information and facilitate compliance. Current research emphasizes leveraging advanced natural language processing techniques, particularly large language models (LLMs) and multi-step architectures combining extractive and abstractive summarization, to improve the accuracy and speed of this process across diverse domains like finance, chemistry, and medicine. These advancements are crucial for streamlining regulatory compliance, improving knowledge base construction, and enabling automated rule checking, ultimately reducing human effort and improving decision-making in various sectors.