An Approach Using LLMs and NLP to Support Large Document Changes

The DoD’s Defense Pricing, Contracting, and Acquisition Policy (DPCAP) Contract Policy (CP) Directorate in the Office of the Assistant Secretary of Defense (OSD) is responsible for yearly updates to the Federal Acquisition Regulation (FAR) and Defense FAR Supplement (DFARS) based on changes in the National Defense Authorization Act (NDAA), Small Business Administration (SBA) rule changes, U.S. Department of Labor (USDOL) rule changes or from executive orders. Reading through and assessing these documents for changes that require corresponding changes to acquisition regulations is labor intensive. Further, when rule changes are proposed to the public for comments, reading and summarizing these public comments can range from straightforward to very labor intensive.

In this paper, we will describe our approach that uses Large Language Models (LLMs) and advanced Natural Language Processing (NLP) techniques to provide an improvement in staff efficiency for laborious document changing tasks.