Annual Acquisition Research Symposium Proceedings & Presentations

The Department of Defense’s Defense Pricing, Contracting, and Acquisition Policy Contract Policy Directorate in the Office of the Assistant Secretary of Defense is responsible for periodic 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 rule changes, U.S. Department of Labor 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 report our initial research results to greatly improve the efficiency of analyzing the NDAA language for required updates of the FAR and DFARS, and issuance of memoranda and guidance using artificial intelligence, including large language models and advanced natural language processing techniques to provide an improvement in staff efficiency for these laborious tasks.

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Publication Details

Journal
VTechWorks (Virginia Tech)
Published
2025-04-02
Primary Topic
Technology Assessment and Management
Type
article
Field-Weighted Citation Impact
0.00

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article

Annual Acquisition Research Symposium Proceedings & Presentations

Patrick Butler, Bradley J. Freedman, José Emmanuel Ramírez-Márquez, Douglas J. Buettner et al.
VTechWorks (Virginia Tech)
Technology Assessment and Management
article

Annual Acquisition Research Symposium Proceedings & Presentations

Patrick Butler, Bradley J. Freedman, José Emmanuel Ramírez-Márquez, Douglas J. Buettner, Joshua Gorman, Amer Akram, Naren Ramakrishnan, Brian B. Mayer
article en

Abstract

The Department of Defense’s Defense Pricing, Contracting, and Acquisition Policy Contract Policy Directorate in the Office of the Assistant Secretary of Defense is responsible for periodic 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 rule changes, U.S. Department of Labor 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 report our initial research results to greatly improve the efficiency of analyzing the NDAA language for required updates of the FAR and DFARS, and issuance of memoranda and guidance using artificial intelligence, including large language models and advanced natural language processing techniques to provide an improvement in staff efficiency for these laborious tasks.

VTechWorks (Virginia Tech)
U.S. Department of Defense, Intelligence Advanced Research Projects Activity
Decent work and economic growth
Openalex Percentile: Top 27%
Technology Assessment and Management
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