AI-Vakeel: An AI-Powered Platform for Smart Legal Query Resolution in the Indian Judiciary
Vishal Dhavali
Dept of Computer Science
Engineering Presidency
University
Bengaluru, India
Bhavyashree S
Dept of Computer Science
Engineering Presidency
University
Bengaluru, India
Aditya Gupta
Dept of Computer Science
Engineering Presidency
University
Bengaluru, India
Tejas S P
Dept of Computer Science
Engineering Presidency
University
Bengaluru, India
Ramakrishna
Dept of Computer Science
Engineering Presidency
University
Bengaluru, India
Thabassuam Khan.S
Assistant Professor Dept of
Computer Science Engineering Presidency University Bengaluru, India
Thabassumkhan@presidencyuniversity.in
Abstract— AI-Vakeel addresses the gap in accessing legal assistance that is complex, slow, and inaccessible by offering an AI-driven platform designed to simplify and democratize legal support in the Indian judicial context. This system combines advanced artificial intelligence with user-centred design to provide timely, understandable, and contextually accurate legal guidance. Whether serving legal professionals, judicial officers, or the public, AI-Vakeel responds to queries in natural language, referencing relevant statutes and case laws to deliver clear and actionable insights. The platform employs a conversational interface to enhance usability while maintaining role-based access control to ensure data security and relevance. Its architecture integrates semantic search, vector-based retrieval, and a generative transformer model tailored to Indian legal discourse. Beyond convenience, AI-Vakeel is developed with a strong emphasis on ethical deployment, fairness, and the preservation of human oversight in legal decision-making. Drawing on global precedents while adapting to India's unique legal ecosystem, AI-Vakeel exemplifies the responsible use of AI to support a more inclusive and efficient justice system.Keywords— Artificial Intelligence (AI), Natural Language Processing (NLP), Large Language Models (LLMs), Financial Market Analysis, Risk Assessment, Sentiment Analysis, Stock Prediction, Machine Learning in Finance, Data Preprocessing, System Architecture, Predictive Analytics, Financial Technology (FinTech), Behavioral Finance, Neural Networks, Ethical AI in Finance.
