A good consent notice is usually the end product of a much larger fact-finding exercise.
One thing I've realised while working on privacy compliance is that the real work lies in understanding the business, identifying what personal data is being collected, mapping processing activities, determining the appropriate consent language, and translating all of that into a notice that complies with the Digital Personal Data Protection Act, 2023 and the Digital Personal Data Protection Rules, 2025.
That process often involves a surprising amount of fact-gathering, back-and-forth, and connecting business realities with legal requirements.
With that in mind, I've published an Agent Skill on Lawve AI, with the help of Antoine Louis and Malik Taiar, which is now accessible through the Lawve AI Connector as part of Claude for Legal.
The skill helps draft or review DPDPA-compliant consent notices by gathering information about the business and its data-processing activities, while also prompting users to consider compliance issues and processing activities that are commonly relevant for businesses operating in a similar manner. It then applies the legal requirements to those facts and generates a notice tailored to the business, together with practical drafting notes.
The aim is to reduce the time spent on fact-gathering and synthesis, while preserving the legal reasoning and business context that make privacy compliance effective.
I'd be grateful for any feedback from lawyers, privacy professionals, founders, or anyone working through DPDPA compliance.