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Wordvice AI
Wordvice AI
 
Risk Overview
Moderate Risk
4.6
/10
Writing Assistant
·
Text Editing
·
Top Risks

The mandatory binding-arbitration clause with class-action waiver under Korean law (rewritten ToS Article 20) materially restricts dispute resolution options and creates jurisdiction uncertainty for US-based users. Free-tier users' content is used to improve Wordvice AI algorithms by default, with no explicit opt-out mechanism documented in public policy.

Mitigations

Paid/premium users should confirm via support whether training-use restrictions apply (not stated in public policy but may exist in contract terms); disable free-tier usage for any proprietary or confidential content. For US users, document the arbitration terms in vendor-management records and review the rewritten ToS Article 20 with legal counsel before signing.

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Highest Risk Categories

The highest-scoring risk categories identified in this assessment.

Legal Terms

Rewritten ToS Article 20 imposes mandatory binding arbitration. Article 20.2 contains class-action waiver. Article 20.1 includes jury-trial waiver. Arbitration under Korean Commercial Arbitration Board (KCAB) rules, Seoul venue, Republic of Korea law. Previous assessment found governing law unclear; rewritten ToS codifies Korean-law jurisdiction and explicit arbitration/waiver terms.
7
/10

Training Use

ToS states: 'the free version may use submitted content to improve the Wordvice AI algorithms for all users. Therefore, free version users should not process confidential or personal information.' Paid/premium users appear to have protection from training use, but this is not explicitly stated in the publicly accessible policy — only the free-tier risk is named. Opt-out mechanism for paid tiers unclear. Moderate default risk.
5
/10

Data Retention

No explicit retention period stated in accessible policy text. The full ToS page failed to render body text for review. Free-tier content used for algorithm improvement implies retention until processed. No clear deletion timeline or user deletion mechanism described in public policies.
5
/10

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Updated July 2026 • AI-assisted research • Reviewed by Verax • Report an issue

Reference Documentation

Official documentation and policies referenced as part of this assessment.