Automated Contract review and compliance cheker

  • Unique Paper ID: 202481
  • Volume: 12
  • Issue: 12
  • PageNo: 7293-7297
  • Abstract:
  • The project focuses on developing a web-based intelligent system that uses Natural Language Processing (NLP) to automatically review and evaluate legal contracts and agreements. In today’s digital world, organizations deal with a large number of contracts and Data Processing Agreements (DPAs) that must comply with General Data Protection Regulation (GDPR) standards. Manually reviewing these contracts is time-consuming, error-prone, and requires legal expertise. This project aims to simplify and automate the review process by analyzing contracts for GDPR compliance and detecting fraudulent or non-compliant content efficiently. The system uses advanced NLP techniques such as text preprocessing, keyword extraction, and semantic analysis to identify important clauses and compare them with GDPR rules and standard templates. It provides a detailed compliance report highlighting compliant and non-compliant sections, along with a fraud percentage score that indicates how much of the document deviates from legal norms. Additionally, the system offers document summarization features that help users understand the contract content more clearly. Overall, this project enhances the efficiency of legal compliance checks, reduces manual workload, and helps organizations ensure regulatory adherence. It represents a significant step toward AI-powered legal automation, promoting transparency, accuracy, and faster decision-making in contract analysis.

Copyright & License

Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{202481,
        author = {Prof.Khalate V.S and Vaishnavi Nageshwar Sakunde and Pallavi Mahadev Nigade and Komal Somnath Patil and Dr. Shah Saloni Niranjan},
        title = {Automated Contract review and compliance cheker},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {12},
        pages = {7293-7297},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=202481},
        abstract = {The project focuses on developing a web-based intelligent system that uses Natural Language Processing (NLP) to automatically review and evaluate legal contracts and agreements. In today’s digital world, organizations deal with a large number of contracts and Data Processing Agreements (DPAs) that must comply with General Data Protection Regulation (GDPR) standards. Manually reviewing these contracts is time-consuming, error-prone, and requires legal expertise. This project aims to simplify and automate the review process by analyzing contracts for GDPR compliance and detecting fraudulent or non-compliant content efficiently. The system uses advanced NLP techniques such as text preprocessing, keyword extraction, and semantic analysis to identify important clauses and compare them with GDPR rules and standard templates. It provides a detailed compliance report highlighting compliant and non-compliant sections, along with a fraud percentage score that indicates how much of the document deviates from legal norms. Additionally, the system offers document summarization features that help users understand the contract content more clearly. Overall, this project enhances the efficiency of legal compliance checks, reduces manual workload, and helps organizations ensure regulatory adherence. It represents a significant step toward AI-powered legal automation, promoting transparency, accuracy, and faster decision-making in contract analysis.},
        keywords = {Contract Review, Compliance Checker, GDPR, NLP, Machine Learning, Document Fraud Detection, Data Privacy, etc.},
        month = {May},
        }

Cite This Article

V.S, P., & Sakunde, V. N., & Nigade, P. M., & Patil, K. S., & Niranjan, D. S. S. (2026). Automated Contract review and compliance cheker. International Journal of Innovative Research in Technology (IJIRT), 12(12), 7293–7297.

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