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Legal Assistant Powered by AI Chatbot Technology

Author

Listed:
  • Sirisha Yerraboina
  • K. Shiva Kumar
  • P. MahaLakshmi
  • K. Saikumar

Abstract

Artificial Intelligence (AI) is revolutionizing the legal profession with greater access to affordable and effective legal service. This research has the objective of developing an AI Legal Assistant that can help users respond to legal queries, drafting of documents, case law study, and offer procedural guidance. Using high-performance Natural Language Processing (NLP) and Machine Learning (ML), the AI chatbot provides accurate, comprehensible, and timely guidance to individuals and small businesses who are denied access to regular legal assistance. One of the key benefits of the AI Legal Assistant is its availability 24/7, which ensures immediate assistance and does away with the reliance on time-consuming, expensive legal consultations. It also automates mundane tasks, allowing legal experts to focus on complex matters while teaching users with the ability to navigate legal challenges independently.However, application of AI to legal services raises important ethical and technical considerations, including data privacy, confidentiality, and minimization of bias in decision-making. The current paper addresses the architecture, functionality, and limitations of the AI-powered Legal Assistant in addressing these problems. The report highlights the potential of AI legal assistants to democratize legal services, bridge gaps in access, and make the legal system more inclusive for individuals and small businesses.

Suggested Citation

  • Sirisha Yerraboina & K. Shiva Kumar & P. MahaLakshmi & K. Saikumar, 2025. "Legal Assistant Powered by AI Chatbot Technology," International Journal of Scientific Research in Artificial Intelligence and Machine Learning, International Journal of Scientific Research in Artificial Intelligence and Machine Learning, vol. 1(2), pages 24-31, April.
    • Handle: RePEc:jbo:ijsrml:v1:y2025:i2:id:23
    Note: Article URL: https://ijsraiml.com/home/article/view/IJSRAIML25123
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