Show HN: Privacyforge.ai – AI Privacy Compliance Documents That Work
privacyforge.ai10 points by divydeep3 3 days ago
10 points by divydeep3 3 days ago
Hi HN,
I'm Divy, former CTO at Branch and previously led engineering teams at Credit Karma and NexHealth. Over the past decade in fintech and healthtech, I've watched too many founders get blindsided by privacy compliance.
The Problem: 80% of startups are unaware of privacy laws affecting their business. The choice between expensive attorneys ($5,000+) and risky generic templates is getting worse as regulations expand. Generic privacy policies fail because they make promises your business can't keep – I've seen this tank funding rounds and trigger regulatory investigations.
My Personal Pain: At Branch, we spent weeks and over $5K just to get basic privacy compliance docs. Our attorneys charged hundreds per hour to essentially fill out forms about our data practices. The kicker? The policy didn't even cover our specific use cases properly, and we had to redo everything when new regulations kicked in.
The Solution: PrivacyForge.ai generates legally compliant privacy documentation using AI trained on current regulations. Instead of generic templates, it creates documents based on your actual business practices – what data you collect, how you process it, where you store it, and which jurisdictions apply to you.
Technical Approach: We built this on Google Cloud with Vertex AI, using Claude Sonnet and Gemini 2.5 for document generation. The system maintains separate knowledge bases for GDPR, CCPA, CPRA, PIPEDA, COPPA, and CalOPPA. Each document gets validated against jurisdiction-specific requirements before delivery. We're continuously expanding the regulations we support.
Different from existing tools: Most privacy generators use static templates with basic fill-in-the-blanks. We analyze your specific data flows and generate custom language. No per-site pricing that kills agencies – just one-time payments with included updates when regulations change. Current status: We're live with paying customers who've saved thousands in legal fees. Generated documents have passed compliance reviews at companies going through Series A due diligence.
Try it at privacyforge.ai – would love feedback from the HN community, especially if you're dealing with privacy compliance headaches at your company.
What privacy compliance nightmares have you faced? Always curious to hear war stories from fellow builders.
> it creates documents based on your actual business practices – what data you collect, how you process it, where you store it, and which jurisdictions apply to you How is this information collected? In my experience, writing the document is not the hard part of this process. So we learn nothing from the danger of having AI write legal documents: https://news.ycombinator.com/item?id=45335774 If your company can't afford to pay the right people to write proper legal documentation than I would have zero trust that your application is properly secured in the first place. I like the idea as someone working in a regulated environment. We just paid ~$10k to a counsel to help craft our documents, but they are highly bespoke to our needs. That being said, I don't know how much I'd trust the results without having a human legal review in the loop. Perhaps that could be an up-charge/add-on: partner with a few firm/counsel that has deep experience different niche regulated areas (e.g. FDA), and then say e.g. for an add'l $500, get a stamp of approval on the document from a counsel who is well-versed in the space. It's perfectly reasonable for a process like this to be initiated by an expert, 80% created according to the input and initiation, with a full review at the end. The expert could further imbue their expertise in what's created. It goes without saying that basic generation attempts of text will only return the average of the corpus and not much more.
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