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Research Paper
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Paper Title

Legal DocGen using AI: Your smart Doc Generator

Article Identifiers

Registration ID: IJNRD_221199

Published ID: IJNRD2405360

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Keywords

Artificial Intelligence, tools, documentation, natural language generation, legal document

Abstract

As generative Artificial Intelligence (AI) technologies become more potent tools for automating the labor-intensive process of legal document generation, the legal business is undergoing a profound transformation. This study investigates the use of generative AI models in the production of legal documents, including deep learning and natural language processing. It investigates the possible advantages, difficulties, and moral issues related to this novel strategy. The first section of this paper presents the state of artificial intelligence (AI) in the legal industry, emphasizing the notable developments in natural language generation models. The methodology part explores the technical aspects of teaching AI models to generate legal documents while considering the subtleties of different document kinds and the intricacies of legal language. Several case studies demonstrate how AI-powered legal document generators have been successfully implemented in actual situations, highlighting their ability to boost productivity and lower human error rates. The investigation also examines the critical component of guaranteeing the caliber and precision of AI-generated legal documents, illuminating the processes involved in assessment and confirmation. Concerns about data privacy, liability, and professional accountability are some of the ethical and legal issues regarding the use of AI in the legal field that are explored. The paper's conclusion highlights the changing nature of the legal profession by discussing potential future trends and ramifications of AI-driven legal document development. Considering this research, generative AI has the potential to change the legal sector by speeding document creation, saving time and money, and eventually improving access to legal services. This paper offers essential insights and recommendations for legal practitioners, legislators, and researchers as they navigate the changing legal landscape in the age of AI-powered document development. (Abstract)

How To Cite (APA)

Atharv Patil, Ayush Shah, & Kartik Bapna (May-2024). Legal DocGen using AI: Your smart Doc Generator. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(5), d536-d540. https://ijnrd.org/papers/IJNRD2405360.pdf

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Other Publication Details

Paper Reg. ID: IJNRD_221199

Published Paper Id: IJNRD2405360

Downloads: 000122259

Research Area: Engineering

Author Type: Indian Author

Country: Pune, Maharashtra, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2405360.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2405360

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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

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Call For Paper - Volume 10 | Issue 12 | December 2025

IJNRD is a Scholarly Open Access, Peer-Reviewed, Refereed, and UGC CARE Journal Publication with a High Impact Factor of 8.76 (calculated by Google Scholar & Semantic Scholar | AI-Powered Research Tool). It is a Multidisciplinary, Monthly, Low-Cost, and Transparent Peer Review Journal Publication that adheres to the UGC CARE 2025 Peer-Reviewed Journal Policy and aligns with Scopus Journal Publication standards to ensure the highest level of research quality and credibility.

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Paper Submission Open For: December 2025

Current Issue: Volume 10 | Issue 12 | December 2025

Impact Factor: 8.76

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