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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 Common Paper

[View on Common Paper](https://commonpaper.com/standards/ai-addendum/1.0) [Download Word file](/template-downloads/common-paper-ai-addendum-in-app.docx) [Try it in Claude Code](#fill)

Contents

*   [AI workflow](#fill)
*   [Fields (24)](#fields)
*   [Service](#section-service)
*   [Legal](#section-legal)
*   [AI Training](#section-ai-training)
*   [AI Output](#section-ai-output)
*   [AI Liability](#section-ai-liability)

## Try this template in an AI workflow

### Claude Code or another coding agent

Start with the setup guide for Claude Code, Gemini CLI, and local package execution. The install page will keep the handoff tied to this template.

[Learn how to fill this template](/install/?template=common-paper-ai-addendum-in-app&title=Common%20Paper%20AI%20Addendum%20In-App)

### CLI

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

## Fields (24)

### Service

| Field | Type | Description |
| --- | --- | --- |
| 
AI Policy Reference

`ai_policy_reference` | string | Reference to AI usage policy |

### Legal

| Field | Type | Description |
| --- | --- | --- |
| 
Additional Terms

`additional_terms` | string | Additional AI-specific terms |

### AI Training

| Field | Type | Description |
| --- | --- | --- |
| 
Training Data None

`training_data_none` | boolean | No Training Data types selected |
| 

Training Data Usage

`training_data_usage` | boolean | Usage Data is Training Data |
| 

Training Data Feedback

`training_data_feedback` | boolean | Feedback is Training Data |
| 

Training Data Input

`training_data_input` | boolean | Input is Training Data |
| 

Training Data Output

`training_data_output` | boolean | Output is Training Data |
| 

Training Data Prompts

`training_data_prompts` | boolean | User prompts (excluding other Input) are Training Data |
| 

Training Data Customer Content

`training_data_customer_content` | boolean | Customer Content is Training Data |
| 

Training Data Additional

`training_data_additional` | boolean | Additional Training Data types apply |
| 

Model Training None

`model_training_none` | boolean | No model training permitted |
| 

Model Training Customer Only

`model_training_customer_only` | boolean | Model training solely for Customer benefit |
| 

Training Data Aggregated

`training_data_aggregated` | boolean | Training Data must be aggregated |
| 

Training Data Deidentified

`training_data_deidentified` | boolean | Training Data must be de-identified |
| 

Training Data Best Effort Deidentify

`training_data_best_effort_deidentify` | boolean | Provider will use commercially reasonable efforts to de-identify Training Data |
| 

Training Requirements Additional

`training_requirements_additional` | boolean | Additional Training Data requirements apply |

### AI Output

| Field | Type | Description |
| --- | --- | --- |
| 
No Customer Identification

`no_customer_identification` | boolean | Neither Input nor Output may identify Customer |
| 

Improvements For Customer Only

`improvements_for_customer_only` | boolean | Improvements from Customer data solely for Customer benefit |
| 

Output Restrictions Additional

`output_restrictions_additional` | boolean | Additional output restrictions apply |

### AI Liability

| Field | Type | Description |
| --- | --- | --- |
| 
AI Provider Covered Claims

`ai_provider_covered_claims` | boolean | Provider AI-specific Covered Claims apply |
| 

Provider Covered Claims Detail

`provider_covered_claims_detail` | string | Detail of Provider Covered Claims describing Output IP infringement provisions |
| 

Provider Covered Claims Exclusions

`provider_covered_claims_exclusions` | string | Provider Covered Claims indemnity exclusions (e.g. combined use, Input, breach, modifications) |
| 

Customer Covered Claims Detail

`customer_covered_claims_detail` | string | Detail of Customer Covered Claims describing IP infringement and usage violation provisions |
| 

AI Customer Covered Claims

`ai_customer_covered_claims` | boolean | Customer AI-specific Covered Claims apply |

Source

Maintained by Common Paper

[View on Common Paper](https://commonpaper.com/standards/ai-addendum/1.0)

Download Template

Editable Word file with fillable fields

[Download Word file](/template-downloads/common-paper-ai-addendum-in-app.docx)

CC-BY-4.0

Use this template with Claude Code or another coding agent

Start with setup instructions, then run this template in your own workflow.

[Learn how to fill this template](/install/?template=common-paper-ai-addendum-in-app&title=Common%20Paper%20AI%20Addendum%20In-App) [Need a managed workflow instead?](/services/ai-implementation.md)

Workflow support only. Not legal advice.

Fields 24

Source [Common Paper](https://commonpaper.com/standards/ai-addendum/1.0)

This template is a drafter's starting point. It does not constitute legal advice. Have qualified counsel review before execution.