Transforming Contract Management: A Comprehensive Analysis of AI Integration in Legacy and Ongoing Contracts

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.

Authors

Publication Details

Journal
International Journal For Multidisciplinary Research
Published
2024-12-31
DOI
https://doi.org/10.36948/ijfmr.2024.v06i06.34068
Citations
1
Primary Topic
Law, Economics, and Judicial Systems
Type
article
Field-Weighted Citation Impact
1.13
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Transforming Contract Management: A Comprehensive Analysis of AI Integration in Legacy and Ongoing Contracts

Niraj Ittan -
1 citations
International Journal For Multidisciplinary Research
Law, Economics, and Judicial Systems
1.13
article

Transforming Contract Management: A Comprehensive Analysis of AI Integration in Legacy and Ongoing Contracts

Niraj Ittan -
article en
1 citations

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.

International Journal For Multidisciplinary ResearchVol. 6(6)
Openalex Percentile: Top 10%
Law, Economics, and Judicial Systems
1.13
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.