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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM60595

Legal Ease AI

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM60595

Volume:

10 |

4 |

April 2026

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM60595

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

DNP

Deepthi Nair P1

SS

Shobhana S2

SS

Sushthiha S3

YG

Yazhini G4

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Abstract

Legal documents can be complicated, take a lot of time, and be costly to review, making it difficult for individuals and small organizations to obtain legal help. Traditional legal systems depend significantly on manual procedures and expert advice, resulting in inefficiencies and delays. This paper presents LegalGPT, an AI-driven legal assistant that utilizes Artificial Intelligence (AI), Natural Language Processing (NLP), and Retrieval-Augmented Generation (RAG) to streamline legal processes. The system allows users to upload legal documents, comprehend their content, and access relevant information immediately via a conversational interface. By integrating Large Language Models with a vector database, the system delivers precise, context-aware responses based on data supplied by users. Moreover, the platform offers features such as automated document creation, clause retrieval, and legal correspondence. This method decreases the need for human involvement, lowers expenses, and improves access to legal services. The suggested system shows how AI can change conventional legal procedures into a more efficient, dependable, and user-friendly approach. Traditional methods often make analyzing legal documents a complex, time-consuming, and costly process. This project presents LegalGPT, an AI-driven legal assistant designed to make document comprehension and creation more straightforward.

KEYWORDS

Artificial Intelligence Natural Language Processing Legal Assistant RAG Chatbot Document Analysis

Cite This Article

Deepthi Nair P1, Shobhana S2, Sushthiha S3, Yazhini G4, "Legal Ease AI," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 4, April 2026. https://doi.org/10.55041/IJSREM60595

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Publication Date

4/17/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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Review Report (Confidential)
Copyright Form (Office)

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Article Views

1

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2

Total downloads since publication

Geographic Reach

5

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This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.

Conflict of Interest

The authors declare no conflict of interest related to this research work.

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No funding information available for this research.

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