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communication

Slack

slack.com

3 flagged clauses across 3 risk dimensions

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πŸ€–

AI training

1 flag
  • Severity 4
    "By using our Services, you grant us a worldwide, non-exclusive, royalty-free license to use your content to improve our products, including for the training of machine learning models."

    Slack can use anything you put in their product to train their AI models, with no end date and no payment to you.

    If you handle confidential customer data, this clause exposes that data to model training pipelines you do not control.

πŸ”„

Auto-renewal

1 flag
  • Severity 3
    "Subscriptions automatically renew at the end of each billing period at the then-current rate unless cancelled."

    Slack renews you at whatever the price is at the time, with no requirement to warn you about increases.

    You can be locked into significantly higher pricing at renewal without explicit consent.

    Matches FTC v. Vonage β€” settled for $100M (2022)
πŸ’Έ

Price hikes

clear

No flags in this category.

🌍

Data residency

clear

No flags in this category.

πŸšͺ

Termination friction

clear

No flags in this category.

βš–οΈ

Liability caps

clear

No flags in this category.

πŸ›‘

Indemnification

clear

No flags in this category.

πŸ‘»

Silent term changes

1 flag
  • Severity 4
    "We reserve the right to modify these Terms at any time. Continued use of the Services constitutes acceptance."

    Slack can change the rules whenever they want, and just continuing to use the product is treated as agreement.

    You have no real veto over future changes. Any clause they add later applies to you retroactively.

Recent changes detected

May 16, 2024

Slack flipped its AI training default from opt-in to opt-out, with the only opt-out path being an email from the Workspace Owner to support. The previous version explicitly excluded customer messages from any non-customer-specific model training.

Every team using Slack for confidential business discussions whose admin hasn't yet emailed Slack support to opt out. Anything posted before opt-out may already be in training pipelines.