LEGALAI: INTEGRATED PLATFORM FOR AUTOMATED LEGAL ASSISTANCE AND LAWYER CONNECTION

Authors

  • N Suresh Author
  • Ravi Keerthi Reddy Author
  • Dogiparthi Saranya Author
  • Dr P.N Siva Jyothi Author
  • Dr Y Rohita Author

DOI:

https://doi.org/10.64751/ijdim.2026.v5.n1.pp257-264

Keywords:

Legal AI, Automated Legal Assistance, Lawyer Marketplace, Natural Language Processing, Access to Justice, Legal Technology, Intelligent Systems

Abstract

Access to legal information and professional assistance remains a significant challenge for a large segment of society. Legal consultations are often costly, legal language is complex, and awareness of procedures and rights is limited among ordinary citizens. As a result, many individuals delay or avoid seeking legal help, leading to unresolved disputes and preventable escalation of conflicts. Although digital transformation has revolutionized sectors such as healthcare, banking, and education, the legal industry continues to struggle with providing accessible, user-friendly, and technology-driven solutions. Most existing legal platforms function either as static informational websites or as lawyer directories, offering limited interaction and lacking intelligent, personalized assistance. This paper introduces LegalAI, an integrated platform designed to enhance access to justice through artificial intelligence and structured digital services. LegalAI combines AI-driven legal analysis, a verified lawyer marketplace, and case management tools within a single ecosystem. The platform leverages Natural Language Processing (NLP) and Large Language Models (LLMs) to analyze usersubmitted legal problems written in natural language. It identifies relevant legal domains, references applicable laws, and generates simplified explanations tailored for non-experts. Additionally, the system recommends practical next steps, including documentation requirements, procedural guidance, and options for professional consultation. The platform is developed using React.js and Tailwind CSS to create a responsive and intuitive frontend interface. Backend operations are implemented using Python-based frameworks such as FastAPI or Flask, ensuring scalable and efficient API services. MongoDB is utilized for flexible and scalable data storage, supporting diverse user records and case information. Security is maintained through JWT-based authentication, enabling secure, role-based access control for users, lawyers, and administrators. Experimental evaluation indicates that LegalAI improves users preliminary legal understanding, reduces confusion during early dispute stages, and streamlines the process of identifying suitable legal professionals. By integrating intelligent assistance with verified lawyer connections, the platform demonstrates strong potential to modernize legal service delivery and bridge the gap between citizens and the legal system.

Downloads

Published

2026-03-10

How to Cite

N Suresh, Ravi Keerthi Reddy, Dogiparthi Saranya, Dr P.N Siva Jyothi, & Dr Y Rohita. (2026). LEGALAI: INTEGRATED PLATFORM FOR AUTOMATED LEGAL ASSISTANCE AND LAWYER CONNECTION. International Journal of Data Science and IoT Management System, 5(1), 257-264. https://doi.org/10.64751/ijdim.2026.v5.n1.pp257-264

Similar Articles

41-50 of 639

You may also start an advanced similarity search for this article.