Businesses contracted by the Federal Government have to follow the Code of Federal Regulations (CFR), a vast and complex document, to stay compliant with the law and be eligible for government contracts. However, many businesses face challenges due to the length and complexity of the CFR document. Can an automated process improve understanding and access to the CFR document?
Researchers at the University of Maryland, Baltimore County (UMBC) announced that they had made progress in automated legal document analytics (ALDA) by creating a way to machine-process the CFR. The researchers used Artificial Intelligence (AI) to categorize information within the document, store it and extract it when required. The researcher's team achieved this by creating a knowledge graph using Semantic Web technologies to demonstrate all the key terms, rules, and CFR regulations.
General users can interact with the knowledge graph through a kind of question-and-answer process. The system would query the CFR knowledge graph to find sections in the document that answer this question.
As the system breaks down CFR’s legal complexity through the automated process, the researchers at the UMBC expect the system will immensely benefit all businesses.
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