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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM45876

Legal-Lens: AI-Driven Legal Document Review and Risk Analysis

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Paper ID:

10.55041/IJSREM45876

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10.55041/IJSREM45876

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

GAK

Gautam Arvind Kalamkar

APS

Abhishek Pravin Shirsath

DRD

Devarshi Raghunath Davane

DPYI

Dr. Prashant Y. Itankar

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Abstract

Legal-Lens is an advanced AI-powered mobile application developed to address the challenges faced by legal professionals during contract review and document analysis. This platform simplifies the complex and tedious manual process by integrating technologies such as Natural Language Processing (NLP), Optical Character Recognition (OCR), and secure cloud infrastructure. Legal-Lens allows legal professionals to upload various types of documents, including scanned images, PDFs and Word files, which are then automatically processed to extract and analyze critical information such as clauses, obligations, risks, and summaries. The application provides additional support features like real-time analytics, secure authentication, interactive dashboards and collaboration tools to assist users in managing legal data efficiently and securely. This paper explores the underlying architecture, theoretical foundations, system design, implementation strategy, and comparative performance metrics of Legal-Lens while highlighting its significance in the evolving legal tech landscape.

KEYWORDS

Legal Document Analysis NLP OCR Clause Detection LegalTech Risk Analysis Contract summarization

Cite This Article

Gautam Arvind Kalamkar, Abhishek Pravin Shirsath, Devarshi Raghunath Davane, Dr. Prashant Y. Itankar, "Legal-Lens: AI-Driven Legal Document Review and Risk Analysis," International Journal of Scientific Research in Engineering and Management, Apr 2025. https://doi.org/10.55041/IJSREM45876

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Publication Date

4/24/2025

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Review Rounds: 2

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