Project Video Showcase
Automated Legal Document Similarity and Comparison System by NLP
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 |
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