Speaking to Bar & Bench, Namit Oberoy, Founder of Indian Legal Tech, compared the use-case of the DoNotPay application to the AI-powered research tools used by lawyers.
“If you see any of the AI powered tools lawyers are using today, they are helping to predict what kind of cases are most likely to apply to your situation and the more context you give it, the more accurate it is. It is the exact same process a human is also doing… So that part, AI-enabled research and AI-enabled argumentation is already happening, not in the future, but today.”
He added,
“Today, technology exists to write basic petitions 100 times faster than a human can while being as accurate… When it comes to legal reasoning, if the same AI is also trained on legal text, say Motor Vehicles Act and some 10,000 cases related to it, then it can build those legal reasons. If you see ChatGPT, it is already doing that. It is not trained specifically on a legal model, but once you do that, it can make a legal argument also and it can do very well. After that, what the human ends up doing, what we call human-in-the-loop technology, is just supervising. That’s it.
We’re doing that in research already. In India we will start using it on reasoning. In larger law firms, there will still be a lot of restrictions and some scepticism, but in smaller practices, you’ll start seeing it. The only difference when it comes to applying it in India is that Indian courts are very risk-averse. Lawyers are also risk-averse. They’re not going to openly admit majority of their case was generated by an AI.”
Source: Barandbench
