Generative vs Intent-based Chatbot for Judicial Advice

The advent of artificial intelligence has led to transformative changes in various industries, and the legal sector is no exception. One of the remarkable applications within this domain is the development of AI-powered chatbots tailored for providing judicial advice. The paper presents a generative chatbot and an Intent-based chatbot aimed at providing judicial advice to Indians and explore and compare the two approaches on the basis of various factors such as nature of responses, response quality, handling changing scenarios, training and data requirements and user experience in the context of offering judicial advice specific to Indian laws. The underlying technologies of the chatbots along with their advantages, limitations, and potential use cases have been discussed. For the Intent-based chatbot, 36 intents based on various Indian criminal and civil laws were created with appropriate chatbot responses. Conversely, in the case of the generative chatbot, a custom dataset of 100 conversations was curated. By analyzing their strengths and weaknesses, this paper seeks to shed light on the suitability of each approach for addressing the complexities of legal queries and assisting users in navigating the intricate landscape of legal matters.