Natural Language Processing for Automated Legal Document Analysis and Contract Review

Authors

  • Manoj Chowdary Vattikuti

Abstract

The legal domain generates vast amounts of text, making manual document analysis and contract review time-intensive and error-prone. This paper introduces a Natural Language Processing (NLP) framework for automating legal document analysis and contract review. By employing transformer-based models like BERT and GPT, the system identifies critical clauses, detects anomalies, and provides risk assessments. The approach is validated on a dataset of legal contracts, demonstrating high accuracy in clause extraction and anomaly detection. The study emphasizes the potential of NLP to enhance efficiency and accuracy in legal workflows, reducing the burden on legal professionals and enabling faster decision-making.

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Published

2024-12-12

How to Cite

Vattikuti, M. C. (2024). Natural Language Processing for Automated Legal Document Analysis and Contract Review. International Journal of Sustainable Devlopment in Field of IT, 16(16). Retrieved from https://journals.threws.com/index.php/IT/article/view/315

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Section

Articles