STM Journals Peer-reviewed research from Consortium e-Learning Network

Journal of Artificial Intelligence Research & Advances Review Article

Nyaya-AI ChatBot: AI-Powered Legal Assistance for India

  1. Abhi Namdeo Dept. of Computer Science & Engineering Lakshmi Narain College of Technology and Science, Bhopal
  2. Ashish Kumar Khare Dept. of Computer Science & Engineering Lakshmi Narain College of Technology and Science Bhopal

Abstract

In today's fast-paced world, the rise in lifestyle related issues has led to a significant increase in case filings across various sectors, including health, finance, and legal matters. Modern lifestyles, characterized by poor dietary habits, sedentary behavior, and high stress levels, contribute to a myriad of health problems and legal disputes. A chatbot designed to provide legal advice in India could be a valuable resource for individuals unfamiliar with the complexities of the Indian legal system. By understanding and applying relevant Indian laws, the chatbot can offer personalized information, potential solutions, and guidance on legal procedures. Users can describe their situation, and the chatbot can analyze it to identify applicable laws, explain their implications, and suggest possible courses of action. This can help individuals navigate legal challenges more effectively and potentially reduce the need for costly legal consultations.

Here are some of the specific features that the chatbot would have: Natural language processing, Machine learning(Supervised Learning, Reinforcement Learning, Sentiment Analysis),User-friendly interface.

Keywords

References (12)

  1. Bommarito II MJ, Katz DM, Detterman EM. LexNLP: Natural language processing and information extraction for legal and regulatory texts. Research Handbook on Big Data Law. 2021. doi:10.4337/9781788972826.00017
  2. Kalyan KS. A Survey of GPT-3 Family Large Language Models Including ChatGPT and GPT-4. SSRN Electronic Journal. 2023. doi:10.2139/ssrn.4593895
  3. Jiao, Wenxiang, et al. “Is ChatGPT a Good Translator? Yes With GPT-4 as the Engine.” arXiv (Cornell University), Jan. 2023, https://doi.org/10.48550/arxiv.2301.08745.
  4. Mehrotra, Anay, et al. “Tree of Attacks: Jailbreaking Black-Box LLMs Automatically.” arXiv (Cornell University), Dec. 2023, https://doi.org/10.48550/arxiv.2312.02119.
  5. Chen, Weixin, and Bo Li. “GRATH: Gradual Self Truthifying for Large Language Models.” arXiv (Cornell University), Jan. 2024, https://doi.org/10.48550/arxiv.2401.12292.
  6. Zhang, Xuanming, et al. “ProLex: A Benchmark for Language Proficiency-oriented Lexical Substitution.” arXiv (Cornell University), Jan. 2024, https://doi.org/10.48550/arxiv.2401.11356.
  7. Liu, Alisa, et al. “Tuning Language Models by Proxy.” arXiv (Cornell University), Jan. 2024, https://doi.org/10.48550/arxiv.2401.08565.
  8. Amato F, Fonisto M, Giacalone M, Sansone C. An Intelligent Conversational Agent for the Legal Domain. Information. 2023;14(6):307. doi:10.3390/info14060307
  9. “LAW-U: Legal Guidance Through Artificial Intelligence Chatbot for Sexual Violence Victims and Survivors.” IEEE Journals & Magazine | IEEE Xplore, 2021, ieeexplore.ieee.org/document/9539229.
  10. Hasal M, Nowaková J, Ahmed Saghair K, Abdulla H, Snášel V, Ogiela L. Chatbots: Security, privacy, data protection, and social aspects. Concurrency and Computation: Practice and Experience. 2021;33(19). doi:10.1002/cpe.6426
  11. Devaraj, Prathab, et al. “Development of a Legal Document AI-Chatbot.” arXiv (Cornell University), Nov. 2023, https://doi.org/10.48550/arxiv.2311.12719.
  12. “Generative Artificial Intelligence: Trends and Prospects.” IEEE Journals & Magazine | IEEE Xplore, 1 Oct. 2022, ieeexplore.ieee.org/document/9903869.
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