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
Fill this template
With Claude Code
Just ask Claude — no installation required:
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 |