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data-compliance

Common Paper AI Addendum In App

An in-app AI addendum based on Common Paper's standard form. A streamlined version of the AI addendum designed to be accepted electronically within an application.

24 fields CC-BY-4.0 Source: Common Paper

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With Claude Code

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Fill the common-paper-ai-addendum-in-app template for my company

With the CLI

npx -y open-agreements@latest fill common-paper-ai-addendum-in-app -d values.json -o output.docx

With the hosted MCP

Add to your MCP config for zero-install access to all templates:

{
  "mcpServers": {
    "open-agreements": {
      "url": "https://openagreements.ai/api/mcp"
    }
  }
}

Fields (24)

Field Type Description
ai_policy_reference string Reference to AI usage policy
additional_terms string Additional AI-specific terms
training_data_none boolean No Training Data types selected
training_data_usage boolean Usage Data is Training Data
training_data_feedback boolean Feedback is Training Data
training_data_input boolean Input is Training Data
training_data_output boolean Output is Training Data
training_data_prompts boolean User prompts (excluding other Input) are Training Data
training_data_customer_content boolean Customer Content is Training Data
training_data_additional boolean Additional Training Data types apply
model_training_none boolean No model training permitted
model_training_customer_only boolean Model training solely for Customer benefit
training_data_aggregated boolean Training Data must be aggregated
training_data_deidentified boolean Training Data must be de-identified
training_data_best_effort_deidentify boolean Provider will use commercially reasonable efforts to de-identify Training Data
training_requirements_additional boolean Additional Training Data requirements apply
no_customer_identification boolean Neither Input nor Output may identify Customer
improvements_for_customer_only boolean Improvements from Customer data solely for Customer benefit
output_restrictions_additional boolean Additional output restrictions apply
ai_provider_covered_claims boolean Provider AI-specific Covered Claims apply
provider_covered_claims_detail string Detail of Provider Covered Claims describing Output IP infringement provisions
provider_covered_claims_exclusions string Provider Covered Claims indemnity exclusions (e.g. combined use, Input, breach, modifications)
customer_covered_claims_detail string Detail of Customer Covered Claims describing IP infringement and usage violation provisions
ai_customer_covered_claims boolean Customer AI-specific Covered Claims apply

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