Revolutionizing Contract Lifecycle Management: The Impact of AI-Driven Automation

Authors

  • Rincy Soman Mahatma Gandhi University, India Author

DOI:

https://doi.org/10.32628/CSEIT251112179

Keywords:

Artificial Intelligence, Contract Lifecycle Management, Machine Learning, Workflow Automation, Risk Assessment

Abstract

Contract Lifecycle Management (CLM) is experiencing a revolutionary transformation through the integration of artificial intelligence technologies. This comprehensive article explores how AI-driven automation is reshaping the entire contract management landscape, from document creation to risk assessment and compliance monitoring. It examines the technical foundations of AI-powered document creation, including advanced language models, natural language processing, and semantic analysis capabilities. The article investigates the evolution of version control systems, workflow automation frameworks, and sophisticated risk assessment methodologies. It delves into machine learning pipelines for continuous improvement and explores future directions in CLM, including blockchain integration, enhanced natural language understanding, and cross-language contract management capabilities. Through detailed analysis of real-world implementations and industry research, this article demonstrates how AI-driven CLM solutions are enabling organizations to achieve significant improvements in operational efficiency, compliance accuracy, and risk management while reducing costs and manual intervention in contract processing.

Downloads

Download data is not yet available.

References

Akash Takyar, "AI for contract management: Use cases, solution and implementation," LeewayHertz Technical Publications. Available: https://www.leewayhertz.com/ai-for-contract-management/

Oxford Management Institute, "How Artificial Intelligence (AI) is Revolutionizing Contract Management," Oxford Management Research Series, 2024. Available: https://oxford-management.com/articles/how-artificial-intelligence-ai-is-revolutionizing-contract-management

John Snow Labs, "Legal NLP," John Snow Labs Technical Documentation. Available: https://www.johnsnowlabs.com/legal-nlp/

Samir Undavia, Adam Meyers, and John E. Ortega, "A Comparative Study of Classifying Legal Documents with Neural Networks," Proceedings of the 17th Conference on Computer Science and Intelligence Systems, Annals of Computer Science and Information Systems, vol. 15, pp. 227-236, 2018. Available: https://annals-csis.org/Volume_15/drp/pdf/227.pdf

GeeksForGeeks, "Version Control Systems," GeeksForGeeks Technical Documentation, 2022. Available: https://www.geeksforgeeks.org/version-control-systems/

Alex Tran, "Machine Learning for Contract Management," PowerPatent Blog, 2023. Available: https://powerpatent.com/blog/machine-learning-for-contract-management

Kamal Ola Al-Amin et al., "AI-Driven end-to-end workflow optimization and automation system for SMEs," ResearchGate Technical Publications, 2024. Available: https://www.researchgate.net/publication/385648813_AI-Driven_end-to-end_workflow_optimization_and_automation_system_for_SMEs

Contract Experience, "Advantages Of Contract Management Workflow Automation," Contract Experience Resources. Available: https://www.contractexperience.com/resources/advantages-of-contract-management-workflow-automation#

GEP, "How AI Transforms the Contract Management Process," GEP Strategy Blog, 2024. Available: https://www.gep.com/blog/strategy/how-ai-transforms-contract-management-process

Allison Caggia, "The Essential Guide to Contract Compliance & Risk Management," Malbek Blog, 2024. Available: https://www.malbek.io/blog/the-essential-guide-to-contract-compliance-and-risk-management

WorldCC, "Contract Lifecycle Management: From technology to performance," World Commerce & Contracting, 2022. Available: https://www.worldcc.com/Portals/IACCM/Files/11462_0_Contract%20Lifecycle%20Management.pdf

Yongkui Yang, Chao Chen, and Zheng Wang, "Architectures for Machine Learning," Springer Reference on Digital Transformation and AI Implementation, 2022. Available: https://link.springer.com/referenceworkentry/10.1007/978-981-15-6401-7_12-1

Sriram Kolathu, "AI-Driven Contract Management: Transforming the Future of Contract Drafting, Comparison, and Management," LinkedIn Professional Insights, 2024. Available: https://www.linkedin.com/pulse/ai-driven-contract-management-transforming-future-kolathu-cpsm-summc

Annie Alexander, Laura Savarese, and Bernadette Bulacan, "Getting Ready for Next-Generation Contract Lifecycle Management," Icertis Research Webinar Series. Available: https://www.icertis.com/research/webinars/getting-ready-for-next-generation-contract-lifecycle-management/register/

Downloads

Published

07-02-2025

Issue

Section

Research Articles