Loading article...
Loading article...
Stream/Area:
-
Subject:
-
Paper ID:
IJSREM60595
Volume:
10 |
4 |
April 2026
Pages:
Publication Frequency:
Monthly (12 issues per year)
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.
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
Publication Date
4/17/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
Documents
Article Views
1
Total views since publication
PDF Downloads
2
Total downloads since publication
Geographic Reach
5
Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.
Plagiarism Screening
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.
Funding Information
No funding information available for this research.
Related research in the same subject area
Loading similar articles...