Answer a few questions about your business. No Boiler generates Terms of Service, Privacy Policies, DPAs, and Sub-Processor Lists that actually match what you've built — in minutes.
Templates include clauses you don't honor and miss ones your product actually needs. A DPA promising security controls you don't have is a misrepresentation waiting to surface in a data incident.
You publish a terms page and assume you're covered. Sophisticated customers and acquirers see through boilerplate immediately. It signals that you haven't scrutinized your own commitments.
Mismatched legal docs are the first red flag enterprise buyers look for. Procurement teams treat a ready-made DPA as a baseline requirement. No tailored DPA, no further review.
Answer structured questions about your service, commercial model, data handling, customer type, and infrastructure. Takes about 10 minutes.
No Boiler maps your answers to a counsel-reviewed template framework and generates customized documents that reflect how your business actually operates.
Receive production-ready Markdown. Update any time as your product evolves — no new engagement, no new invoice.
Every document starts from a template framework developed by lawyers who specialize in B2B SaaS contracting.
Your documents cross-reference each other correctly. No liability gaps between your Terms and DPA.
Structured intake ensures your documents reflect your pricing model, data practices, and infrastructure — not a template's assumptions.
As your product evolves, update your intake and regenerate. No new engagement, no new invoice.
Five Illinois residents sued Microsoft alleging that Teams' live transcription feature collects voiceprints without the notice, consent, or retention policies BIPA requires. If your SaaS product identifies, attributes, or stores who said what in a meeting or call, this case applies to you.
A nationwide class action against Workday alleges its AI hiring tools had a disparate impact on applicants over 40. Workday argued it merely provides the platform. The court disagreed. If your product scores, ranks, or filters people in ways that touch a protected class, this case applies to you.
The FTC has brought over a dozen enforcement actions against companies that overstate what their AI does. If your marketing says 'AI-powered insights you can trust' and your terms say 'as-is, may be inaccurate,' you have a contradiction that creates exposure on two fronts. Here's how the enforcement pattern works, why it survived a change in administration, and what it means for your contracts.
Stop sending boilerplate. Generate documents that match your product, your pricing, and your data practices.
Generate your legal stack →