
International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
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Impact Factor: 9.24
A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Transforming Contract Management: A Comprehensive Analysis of AI Integration in Legacy and Ongoing Contracts
Author(s) | Niraj Ittan |
---|---|
Country | United States |
Abstract | Artificial intelligence (AI) and contract intelligence offer a revolutionary solution for contemporary contract administration, addressing the unique difficulties presented by both legacy and continuous contracts. This technical article investigates how automated data extraction, risk assessment, and process optimization driven by artificial intelligence transform contract management. Usually kept in conventional repositories, legacy contracts allow the system to retrieve and analyze important data in mass while including human confirmation for accuracy. By means of real-time AI processing for instantaneous analysis of third-party documentation, negotiation facilitation, and pre-signature risk evaluation, continuous contract management reduces the requirement for human review in the processing pipeline. While addressing implementation concerns, system integration issues, and future advancements in the field. This article investigates the technological underpinnings of Contract Intelligence—including Natural Language Processing and Machine Learning algorithms, including By means of thorough comparative research of heritage and contemporary contract management strategies, this article offers insightful information for companies trying to modernize their contract management systems while preserving compliance and operational effectiveness. |
Keywords | Keywords: Contract Intelligence, Artificial Intelligence, Legacy Contract Management, Document Processing Automation, Risk Assessment Analytics. |
Field | Computer |
Published In | Volume 6, Issue 6, November-December 2024 |
Published On | 2024-12-31 |
DOI | https://doi.org/10.36948/ijfmr.2024.v06i06.34068 |
Short DOI | https://doi.org/g82ggx |
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E-ISSN 2582-2160

CrossRef DOI is assigned to each research paper published in our journal.
IJFMR DOI prefix is
10.36948/ijfmr
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