Do they own your data? MeetGeek Privacy Policy Reviewed.

MeetGeek receives a 6/10 Enterprise Readiness Score, marking it as partially ready for enterprise deployment. While the AI meeting assistant offers solid core functionality, gaps in advanced security controls and enterprise-grade compliance may limit adoption in highly regulated industries.

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Final Enterprise Readiness Rating: 6/10

⚠️ Partially ready (Reviewed 2026).

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Area

Verdict

Notes

Data Residency & Storage

✅  Good

Data hosted in Ireland with AWS infrastructure, but no mention of data sovereignty controls or regional restrictions

AI Model Use

⚠️  Partial

No information about AI model providers, training, or data use for AI improvement

Data Minimization

⚠️  Partial

Claims business model doesn't rely on widespread data collection, but still collects substantial usage analytics and device information

Privacy Controls

⚠️  Partial

Users can delete recordings and withdraw consent, but no mention of workspace-level admin controls or enterprise privacy settings

Compliance & Auditability

⚠️  Partial

Mentions AWS certifications (ISO 27001, SOC 1/2) but no indication MeetGeek itself has enterprise compliance certifications

Consent Handling

❌  High Risk

Alerts participants about recording but places full responsibility for consent collection on the user

Model Explainability

❌  High Risk

No information about AI processing transparency, logging, or explainability features

Data Retention & Deletion

⚠️  Partial

Mentions retention is based on subscription plan but doesn't specify periods or provide configurable retention controls

Third-Party Sharing

✅  Good

Explicitly states they won't sell data and limits sharing to necessary service providers with data protection standards


⚠️ Recommendation for Enterprises:

Adopt MeetGeek with caution. Be especially careful if you handle:

  • Healthcare data requiring HIPAA compliance
  • Financial services data
  • Legal client communications
  • Highly regulated industry data

Instead, consider AI tools that:

  • Obtain SOC 2 Type II certification
  • Provide detailed AI processing transparency
  • Offer enterprise admin controls and consent automation
  • Clarify data retention policies and provide configuration options

Better Alternative:

✅ BuildBetter.ai — GDPR, SOC 2 Type 2, and HIPAA compliant

✅ Zero training on customer data

✅ You own your data. Fully opt-in privacy model.

🔍  MeetGeek Privacy Policy – Enterprise Risk Assessment

Audience: Security-conscious enterprise organizations evaluating AI meeting assistant for automatic recording and transcription for internal use in highly sensitive or regulated environments (e.g. legal, healthcare, finance, tech/IP-heavy orgs).


⚠️ Where MeetGeek Falls Short – Critical Gaps


🔒  1. Data Residency & Storage

Quote: "The hosting facilities for account information and for video storing are situated in Ireland."

Risk: Irish hosting provides GDPR compliance advantages, but enterprises need guarantees that data won't cross borders or be accessible from other jurisdictions

Enterprise Issue:

  • No data residency controls for specific jurisdictions
  • No mention of government access restrictions
  • Limited visibility into AWS sub-regions

Verdict: ✅ EU hosting helps compliance


🧠  2. AI Model Use

Risk: Complete silence on AI processing is a major red flag for enterprises handling sensitive data - they need to know if conversations are being used for model training or sent to third-party AI providers

Enterprise Issue:

  • No disclosure of AI model providers
  • No opt-out from AI training
  • No bring-your-own-model options

Verdict: ⚠️ Zero details on AI processing


📊  3. Data Minimization

Quote: "Our business model is to provide a paid service to users who need to record, index and store meeting recordings, and does not rely on widespread collection of general user data."

Risk: While they claim minimal collection, the actual list includes IP addresses, device fingerprinting, location data, and extensive analytics - this creates unnecessary privacy surface area

Enterprise Issue:

  • Collects device identifiers and crash data
  • Tracks geographical location
  • Extensive usage pattern analysis

Verdict: ⚠️ Collects extensive metadata


⚙️  4. Privacy Controls

Quote: "You can delete single recordings at any time via our web interface. If you delete your account, your information and content will be unrecoverable after that time."

Risk: Individual controls are insufficient for enterprise deployment - companies need admin-level controls to enforce privacy policies across all users and ensure compliance

Enterprise Issue:

  • No workspace-level privacy controls
  • No admin override capabilities
  • Individual consent model doesn't scale

Verdict: ⚠️ Basic individual controls, no enterprise admin


📦  5. Compliance & Auditability

Quote: "AWS data centers are certified as ISO 27001, PCI DSS Service Provider Level 1, and/or SOC 1 and 2 compliant."

Risk: Infrastructure certifications don't extend to the application layer - enterprises need MeetGeek's own SOC 2 Type II, and for regulated industries, HIPAA compliance is essential

Enterprise Issue:

  • No company-level SOC 2 Type II certification
  • No HIPAA compliance mentioned
  • No audit trail capabilities described

Verdict: ⚠️ Basic security certifications only


Quote: "As you are using Meetgeek to record meetings, you are responsible for collecting consents from all participants in the meeting prior to starting the recording."

Risk: This approach creates significant legal liability for enterprises - they become solely responsible for consent management without built-in compliance tools

Enterprise Issue:

  • No automated consent workflows
  • Complete liability shift to customer
  • No consent documentation or audit trails

Verdict: ❌ Shifts legal burden to users


🔍  7. Model Explainability

Risk: For sensitive business discussions, enterprises need to understand what AI is extracting, how it's being processed, and have audit trails of AI-generated insights

Enterprise Issue:

  • No AI processing logs
  • No explainability features
  • No audit trail of AI operations

Verdict: ❌ Complete AI transparency gap


🧼  8. Data Retention & Deletion

Quote: "The period or retention for customer data is defined as per the relevant subscription plan and is automatically handled by the respective policy."

Risk: Enterprises need specific retention periods and controls to meet compliance requirements - vague subscription-based policies don't provide sufficient certainty

Enterprise Issue:

  • No specific retention periods disclosed
  • No configurable retention policies
  • Unclear post-termination data handling

Verdict: ⚠️ Vague retention policies


🤝  9. Third-Party Sharing

Quote: "We will not sell collected data to other companies. Information might only be delivered to necessary providers to fulfil our service agreement with you."

Risk: While the no-selling commitment is good, enterprises need detailed subprocessor lists and data processing agreements with all third parties

Enterprise Issue:

  • No detailed subprocessor list
  • Vague 'data protection standards' requirement
  • No data processing agreement transparency

Verdict: ✅ Clear no-selling policy with reasonable sharing limits


✅ What MeetGeek Does Right (Credit Where It's Due)

  • EU data hosting for GDPR compliance
  • Clear no-data-selling policy
  • Claims not to access recordings without permission
  • Provides individual deletion controls
  • Uses encrypted connections and AWS security infrastructure

Disclaimer: This evaluation is based solely on publicly available information and documentation. For formal enterprise vetting, always request a vendor's latest DPA, security whitepaper, and third-party audit reports.