The JSW Centre for the Future of Law at NLSIU organised an interactive session on ‘AI in Law’ with Mr. Vasu Aggarwal (NLS BA LLB 2023), Co-Founder of Lucio AI, on July 23, 2025. The session covered current practices, opportunities and challenges for AI providers and legal adopters.
Abstract
Large Language Models (LLMs) demonstrate capabilities that could substantially impact legal operations. For this to come to fruition, there is a need to realise the capacity of lawyers to fully utilise these tools in regular legal tasks. The discussion brought together the two composite stakeholders in this scenario, the service creators and providers in the form of AI-based legal solutions, and the law firm context for which they are designed. The speakers explored the challenges, opportunities and contours of change that present themselves in the meeting of AI and legal practice.
Speaking to our students, Mr. Aggarwal said:
“It’s all about context. Knowing how and when to use AI, will give you better results. I strongly suggest that one way to be relevant today is to learn how to use AI. Associates in law firms who know how to use AI are irreplaceable in this market.”
About Lucio
Pranav Kumar, Founders’ Office, Lucio:
“Lucio is a horizontal AI platform that essentially has a suite of functions that are useful for lawyers in their day-to day-workflow. This involves transaction lawyers, dispute lawyers, and even other lawyers who do other kinds of work. This involves day-to-day functioning with an ‘assistant’ that we have, which helps you with everything that you need to do. You can input queries, you can get research responses, etc. We also have something called a ‘briefcase’ which allows you to input an unlimited number of documents and individually chat with each document. Then we have something called ‘chronologies’ that helps you build a chronology out of multitudes of documents that you have. These are functions that lawyers will need to do for every case. So this makes their workflow much simpler.
Now how it works in the back end is we have a bunch of agents – we have 15 right now and we’re scaling to about a 100 – which work in the background for specific legal tasks. For example, when you require a summarisation, it will pick out the agent which has been programmed to do the best summarisation possible by wrapping multiple AI models and multiple agentic workflows. So we have multiple agents to do multiple things which work on the back end and help a lawyer in their daily workflow to make their work simpler.”