🇺🇸 United States · DPA Generator
A complete Data Processing Agreement Word document tailored to a named AI vendor + service: 12 main DPA clauses + Schedule 1 Particulars of Processing (Art. 28(3) mandatory schedule) + Schedule 2 Technical and Organisational Measures (12 control domains × measure × implementation × evidence) + Schedule 3 Sub-Processors (pre-populated with typical sub-processors for the named vendor, with explicit verify-against-vendor callout) + Schedule 4 International Transfer Mechanism + Annex A AI-Specific Contract Terms (6 AI clauses covering training-data restrictions, IP ownership, automated decision-making transparency, bias and fairness, AI error liability, model-update notification + exit rights) + Annex B Negotiation Checklist (10 items with vendor positions, your counter-positions, red flags, and fallback positions) + Annex C Qualified Legal Review Notes (consolidated list of inline review-required callouts grouped by counsel competence) + signature blocks.
The output is anchored on the regulations that apply to AI deployments in US. The top frameworks cited:
Deployers of high-risk AI systems must conduct impact assessments, implement AI risk management programmes, provide consumers with clear disclosure of AI use and adverse action explanations, and notify developers of discovered risks.
AI developers and deployers must avoid prohibited uses, provide clear disclosures when consumers interact with AI in consequential contexts, conduct algorithmic-discrimination assessments for in-scope systems, and report adverse incidents to the Texas Attorney General. Compliance with NIST AI RMF and recognised standards is treated as a rebuttable presumption of reasonable care.
Businesses must disclose automated decision-making logic upon consumer request, allow opt-out of profiling for targeted advertising or significant decisions, and conduct and document risk assessments for high-risk data processing activities.
Operators of bots that interact with California consumers in commercial or electoral contexts must clearly and conspicuously disclose that the consumer is communicating with a bot, with the disclosure designed to inform a reasonable person communicating with the bot. Disclosure must not be hidden behind interaction or buried in a privacy notice.
You describe your organisation, the AI vendor (Processor), the AI service being procured, and the categories of personal data the service will process. The tool maps your jurisdiction + industry + risk appetite into a structured, schedule-based DPA ready to redline with your legal team.
The DPA follows the format working contract lawyers recognise — main clauses for the contractual body, schedules for the GDPR Art. 28(3) particulars (subject matter / duration / nature / purpose / data categories / data subject categories), schedules for the operational details (TOMs, sub-processors, transfer mechanism), and annexes for the AI-specific protections + negotiation positions + consolidated review-required notes. Risk-appetite-driven defaults (security standard, audit notice, breach window, liability cap, model-update notice) are internally consistent across clauses, schedules, and the negotiation checklist. This is an AI-assisted drafting aid intended to accelerate review by qualified data-protection counsel.
$39 · one-time — answer a 6-question intake (including jurisdiction = US), and download your tailored document immediately.
Generate DPA →Also available framed for your sector → see industry-specific pages