When reviewing contracts or other lengthy documentation in the planning phase, which of the following tools would BEST extract relevant information?

Robotic process automation automates repetitive, rule-based tasks and interacts with structured interfaces, but it cannot comprehend or interpret the meaning of natural language in contracts.

Autoregressive sequencing models are primarily used for generating sequential text output, not for extracting relevant structured information from existing documents.

Predictive analytics uses historical data to forecast future outcomes and is not designed to read or interpret the content of textual documents.

Natural language processing enables machines to parse, understand, and extract relevant information from unstructured human language such as contracts and documentation. NLP techniques like entity recognition, summarization, and semantic search are specifically built for this purpose. This makes NLP the most effective tool for extracting key clauses, obligations, or risk terms from lengthy documents during planning.