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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM60741

Pocket Specter: AI-Powered Legal Assistance System using Retrieval-Augmented Generation (RAG)

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM60741

Volume:

10 |

4 |

April 2026

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/ijsrem60741

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

DVSAS

Dr. Varsha Shah Aryan Shaikh

RS

Riya Shaikh

MS

Muzammil Shaikh

HS

Hasan Sayyed

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Abstract

India faces an acute problem of legal accessibility, with about 2 lawyers per 1000 people. Complicated legal jargon, expensive consultation fees, and lack of knowledge hinder many people from seeking justice. Pocket Specter is a specialized domain AI SaaS platform that tries to fill the void by using a Retrieval Augmentation Generation mechanism. The Pocket Specter software includes legal chatbot based on AI technology and intelligent document analysis in the fields of consumer, labour, and family laws. Pocket Specter uses BGE-M3 embeddings in combination with PostgreSQL pgvector technology with a large language model to base their responses on legal documents, minimizing hallucinations. In addition, the document analysis tool analyzes and highlights important information about responsibilities and potential risks in uploaded documents in .pdf/.docx formats. According to experiment results, Pocket Specter is more than 75% relevant in legal responses in comparison with simple LLM methods.

KEYWORDS

Retrieval-Augmented Generation Legal AI Natural Language Processing pgvector Document Analysis Large Language Models SaaS India

Cite This Article

Dr. Varsha Shah Aryan Shaikh, Riya Shaikh, Muzammil Shaikh, Hasan Sayyed, "Pocket Specter: AI-Powered Legal Assistance System using Retrieval-Augmented Generation (RAG)," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 4, April 2026. https://doi.org/10.55041/ijsrem60741

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Publication Date

4/20/2026

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Double-Blind Peer Review

Review Rounds: 2

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

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