← All workflows

Api Acceptable Use Policy

Draft API Acceptable Use Policies in Minutes

12 minutes with Para

Explore this workflow

Get started with Para

Para is an AI colleague for legal teams. Send it this work by email, Teams or Slack, and it hands back the finished document.

12 minutes with Para

What you'll need

  • Master API License or Terms of Service

Plans from $20 a month, with usage included.

Workflow

Overview

CaseMark's API Acceptable Use Policy skill drafts a standalone, publication-ready AUP designed for incorporation by reference into master API license or terms-of-service agreements. It produces a complete policy template with prohibited-use matrices, developer security checklists, graduated enforcement frameworks, AI/ML training restrictions, and a versioning playbook—all tailored to your specific API, data categories, and business model.

Drafting an API Acceptable Use Policy from scratch requires balancing complex technical security requirements, regulatory considerations across data categories, and nuanced enforcement mechanics. Legal teams often spend days coordinating with engineering and product stakeholders, and the resulting policy frequently becomes entangled with core commercial terms—making routine updates cumbersome and risky.

CaseMark's AI-powered AUP drafting skill walks you through a structured intake, applies intelligent defaults, and generates a complete, standalone policy in minutes. The output cleanly separates behavioral rules from your master agreement, includes a versioning playbook for painless updates, and provides bracketed placeholders so your team can finalize with confidence.

How to hand this to Para

  1. 1. Send Para the files

    Email them, drop them in a Teams or Slack message, or upload them.

  2. 2. Para runs the Api Acceptable Use Policy skill

    It works from your files and checks its citations against the record.

  3. 3. The finished document comes back

    Para returns it where you asked, usually as a DOCX, and offers the next step.

Example request · email, Teams or Slack
Para, run the Api Acceptable Use Policy skill for the Garcia matter. I've attached the Master API License or Terms of Service. Send the finished draft back here as a DOCX.

What Para does

  1. 1. Upload your master API license or terms-of-service agreement
  2. 2. Answer guided intake questions about your API, data categories, and policy positions
  3. 3. AI drafts a complete AUP with prohibited-use matrix, security checklist, and enforcement framework
  4. 4. Review bracketed placeholders, customize to your needs, and export in DOCX or PDF

What you get

  • Pre-Draft Intake Summary

  • AUP-to-License Allocation Table

  • Prohibited Use Matrix

  • Developer Security Checklist

  • Graduated Enforcement Framework

  • AI/ML Training Restrictions

  • Versioning & Change Management Playbook

  • Publication-Ready AUP Template

What it handles

  • Prohibited-use matrix with categorized violation tiers

  • Developer security checklist tailored to your auth method

  • Graduated enforcement framework with escalation procedures

  • AI/ML training restriction clauses

  • Versioning playbook for independent update cadence

  • AUP-to-license allocation table separating behavioral rules from commercial terms

Required documents

  • Master API License or Terms of Service

    Your existing master API license agreement or terms of service that the AUP will be incorporated into by reference

    .pdf, .docx

Supporting documents

  • Existing AUP or Policy Draft

    Any current acceptable use policy or draft you want to update or use as a starting point

    .pdf, .docx

  • API Documentation

    Technical API documentation including authentication methods, rate limits, and endpoint descriptions

    .pdf, .docx, .html

  • Data Processing Agreement

    Existing DPA or data handling policies that may inform data category restrictions in the AUP

    .pdf, .docx

Why teams use it

Separate fast-changing behavioral rules from stable commercial terms for independent update cadence

Ensure comprehensive coverage with a structured prohibited-use matrix and tiered enforcement

Protect your data with configurable AI/ML training restrictions built in by default

Reduce drafting time from days to minutes with a guided intake and intelligent defaults

Questions

What does the API Acceptable Use Policy cover?

CaseMark generates a comprehensive AUP including a prohibited-use matrix, developer security checklist, graduated enforcement framework, AI/ML training restrictions, and a versioning playbook. It's designed to be incorporated by reference into your master API agreement.

Can I customize the prohibited uses and enforcement tiers?

Absolutely. CaseMark's AI drafts the initial framework based on your intake answers, but every section uses bracketed placeholders you can tailor. You control which activities are prohibited, restricted, or permitted, and how enforcement escalates.

How does this separate from my main API terms of service?

The AUP is structured as a standalone document incorporated by reference, so you can update behavioral and security rules on an independent cadence without requiring re-acceptance of your core commercial terms. CaseMark generates an allocation table showing exactly what lives in the AUP versus the master agreement.

Does it address AI and machine learning training restrictions?

Yes. CaseMark includes dedicated AI/ML training restriction clauses with configurable defaults—prohibiting training by default unless expressly authorized in writing—so you maintain control over how your API data is used.

What if I don't have a master agreement yet?

CaseMark can draft the AUP using sensible defaults for a general SaaS API. You can later align it with your master agreement once finalized. The tool flags assumptions so nothing is overlooked.

How long does it take to generate a complete AUP?

CaseMark typically produces a publication-ready API Acceptable Use Policy in about 12 minutes. Compare that to the days or weeks it can take to draft one manually with outside counsel.

Related