Productivity AI✓ Generally Minimal Risk2/10

Otter.ai

AI meeting transcription, note-taking, and summary generation tool. Internal productivity tool. Disclosure recommended when transcribing meetings that include external parties.

✓ EU AI Act Risk Classification

Indicative classification: Generally Minimal Risk

Legal reference: Minimal risk (internal); disclosure best practice for external calls

Important: This is an indicative assessment based on typical deployment patterns. Your actual risk classification depends on your specific use case, configuration, and context. Register in Aeqora to get a precise classification using the EU AI Act decision tree.

Your obligations as a Deployer

→Inform external meeting participants when Otter is transcribing
→Review data processing terms for EU meeting recordings
→No mandatory EU AI Act obligations for internal transcription

How this score was derived

Methodology →

Scores 2/10: Meeting transcription AI with no consequential individual decisions. No EU provider documentation published. Primary governance consideration is participant consent for recording — a GDPR obligation predating the AI Act. Article 50 chatbot/deepfake obligations do not apply. Minimal regulatory burden under current EU AI Act framework.

Provider EU AI Act documentation

Otter.ai has not yet published dedicated EU AI Act compliance documentation. Contact them directly to request instructions of use and ask about their compliance roadmap.

What to do next

01

Register in Aeqora

Add Otter.ai to your AI system inventory and run the classification wizard for your specific deployment.

02

Request vendor docs

Ask Otter.ai for their EU AI Act instructions of use and technical documentation.

03

Generate compliance pack

Generate your Article 26 Deployer Compliance Evidence Pack once classification is complete.

Cite this assessment

Vendor? Request a correction →

Aeqora. "Otter.ai — EU AI Act Risk Assessment." Aeqora Vendor AI Risk Index. Verified 2026-06-12. https://aeqora.eu/vendors/otter-ai

Scores are methodology-derived and citable under CC BY. View methodology →

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