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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM63697

AI-BASED LEGAL CHATBOT FOR PROVIDING LEGAL ASSISTANCE

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM63697

Volume:

10 |

5 |

May 2026

Pages:

1-6

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM63697

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

TSP

Tanmay Singh Panwar

Software Engineering

Vivekananda Global University

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RS

Raghav Sharma

Law

Vivekananda Global University

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PJ

Prashant Jaiswal

Software Engineering

Vivekananda Global University

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MK

Mansha Kumari

Management

Vivekananda Global University

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PK

Prerit Kumbhar

Foreinsic Science

Vivekananda Global University

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Mentors

DGP

Dr. Gyan Prabhakar

Computer Science and Applications

Vivekananda Global University

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Abstract

Honestly, getting legal help is a headache for most people - I've noticed this in my family as well. Some time ago, my uncle got a legal notice but didn’t understand what it meant or what to do next. This situation is very common in India. Many people have minor or simple legal problems but do not know where to turn for help. Hiring an attorney can be expensive, and free legal services are often too far away or too crowded. This project is based on this problem. As part of my Bachelor of Technology (BTech) studies, I built a chatbot that tries to make legal information accessible. Chatbots use plain language to understand what people are asking and then provide clear and understandable answers. I use Python to build the backend and libraries like spaCy and NLTK to process the script. For questions that the system does not recognize, connect to the LLM API to check the answer. During the inspection, the chatbot can answer a variety of common legal questions, such as tenant issues, payroll issues, and consumer complaints. Of course, it is not replacing the lawyer, and this is obvious to the client. Rather, it helps people understand their situation and decide whether they need professional legal help. Even this small step can make a big difference.

KEYWORDS

AI-Based Legal Chatbot

Cite This Article

Tanmay Singh Panwar, Raghav Sharma, Prashant Jaiswal, Mansha Kumari, Prerit Kumbhar, Dr. Gyan Prabhakar, "AI-BASED LEGAL CHATBOT FOR PROVIDING LEGAL ASSISTANCE," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 5, pp. 1-6, May 2026. https://doi.org/10.55041/IJSREM63697

Full Article/Conclusion

The project grew out of a simple observation: legal aid is still inaccessible to many ordinary people—a problem that technology can address to some extent. The chatbot developed as part of this project is not a comprehensive solution; It has real-world limitations and certainly does not act as a substitute for a qualified legal expert. However, it can achieve one significant thing: it can give people a starting point.   Understanding the nature of your own legal issues, knowing the laws that apply, and being informed about your rights in certain situations are of the utmost importance. These factors can determine whether a person decides to fight for their rights or succumbs to an unfair situation.   From a technical perspective, the project demonstrates how Natural Language Processing (NLP) and Large Language Model (LLM) tools can be integrated in practical and easily accessible applications. The hybrid approach used proved to be effective during testing, and the system successfully handled many common queries. With further improvements in areas such as multilingual support, real-time data integration, and document clarification, the system can turn into an invaluable tool for raising legal awareness in India.

References

[1] A. J. Sandefur, "Access to What?" Daedalus, vol. 148, no. 1, pp. 49–55, Jan. 2019.   [2] J. Brownsword, E. Scotford, and K. Yeung, The Oxford Handbook of Law, Regulation and Technology. Oxford, UK: Oxford University Press, 2017.   [3] N. Aletras, D. Tsarapatsanis, D. Preoiuc-Pietro, and V. Lampos, "Predicting judicial decisions of the European Court of Human Rights: A natural language processing perspective," PeerJ Comput. Sci., vol. 2, p. e93, 2016.   [4] Y. Feng, "Legal question answering using structured knowledge and neural networks," in Proc. ACL 2018 Student Research Workshop, Melbourne, Australia, Jul. 2018, pp. 26–32.   [5] T. Brown et al., "Language models are few-shot learners," in Advances in Neural Information Processing Systems (NeurIPS), vol. 33, 2020, pp. 1877–1901.   [6] M. Quaresma and T. Goncalves, "Using NLP techniques in a question/answer system in the legal domain," in Proc. 1st Workshop on Automated Legal Text Processing (ALTP-2006), 2006, pp. 1–8.   [7] R. Dale, "Law and word order: NLP in legal tech," Nat. Lang. Eng., vol. 25, no. 1, pp. 211–217, 2019.  

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Publication Date

5/22/2026

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Double-Blind Peer Review

Review Rounds: 2

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