Structured Extraction Approach - Introduction #

To provide more efficient and accurate regulatory guidance, my objective is to understand AI/NLP techniques, tools, and technologies that can streamline compliance assessments and automate repetitive verification tasks within the compliance and regulation domain.

To achieve this, I’m taking a hands-on approach, diving into a range of AI methods—from the structured data extraction provided by Python libraries, to the generalized reasoning power of Large Language Models (LLMs). My plan is to deconstruct each of these approaches, build practical examples that show how to transform unstructured regulatory text into actionable data, and document my findings. The ultimate goal is to provide a clear, repeatable methodology and a toolkit that can help professionals simplify compliance assessments and automate verification tasks.