Automated Legal Document Similarity and Comparison System by NLP

Keywords: Legal Document Similarity, NLP, Natural Language Processing, Artificial Intelligence, TF-IDF, Cosine Similarity, Text Comparison, Legal Document Analysis, Document Classification, Text Mining, Streaml

Project Synopsis & Overview

This project develops an automated system for comparing two legal documents and identifying their degree of similarity using Natural Language Processing techniques. Users can upload two legal documents through a Streamlit-based interface. The system performs text preprocessing such as lowercasing, tokenization, stop-word removal, and stemming or lemmatization. The processed documents are converted into numerical representations using TF-IDF vectorization, and Cosine Similarity is then applied to calculate the similarity between the documents. Finally, the similarity score is displayed as a percentage through the user interface. The system can support legal professionals in contract comparison, document review, and identification of similar or redundant content.

Complete Technical Specifications

Project ID	1CP0632 (DB ID: 632)
Project Title	Automated Legal Document Similarity and Comparison System by NLP
Domain Division	Python
Sub-Domain / Tech	Deep Learning and NLP
IEEE Year	2026
Package Price	₹6500
Created Date	Sep 17, 2026