Author: Vivek Gupta, Founder & CEO, Softsensor.ai
Indian judiciary suffers significant backlog with 35 million cases across many courts. Assuming that each case requires about 100 pages of drafting, we are looking at about 3.5 billion pages to be drafted. Each page takes about 30 mins, we are looking at 100 billion minutes to complete these cases. The work required to overcome this workload is humongous and can never be overcome. My own personal experience with NIC in district courts of Sirohi in Rajasthan had shown me the complexity and scale of this problem. I believe that there is a very strong case for a rapid adoption of GPT4 by Indian courts to reduce this pendency and improve the quality of justice, laws and reduction of errors. Here is a quick summary of areas where it can be useful.
In terms of the timeline for the implementation of LLMs in the Indian judicial system, it is essential to adopt a phased approach. In the initial phase, LLMs can be introduced to handle simpler tasks such as document review, automating routine tasks, and developing chatbots. This phase could potentially yield significant improvements within 1-2 years.
As technology matures and its efficacy is proven, LLMs can be expanded to cover more complex tasks such as legal research, e-discovery, and predictive analytics. This phase may take an additional 2-3 years to fully implement and optimize.
This is a fundamental innovation and can help countries like India which adopted a Western liberal democracy but need continuous means for improving rule of law can benefit tremendously.
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