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Plain-English summary
DeepL may transmit payment data, IP address, and device information to Riskified for fraud prevention purposes, which Riskified also collects and processes directly, including behavior in the checkout process and an identifier via a JavaScript beacon. If Riskified assesses a payment as fraudulent, DeepL may automatically decline a request to subscribe to DeepL Pro, which is justified as necessary for entering into a contract. Riskified processes the data transferred to them and collected in the checkout process for their own purposes, and this data may be transferred to the USA. If a business email address is used to create a DeepL account, the email address may be shared with the holder of the company email domain. This sharing can include usage data associated with the account if the company indicates legitimate reasons, such as purchasing DeepL Pro licenses for the company. If DeepL Pro access is provided by an employer or organization, usage data like the number of translated characters and documents, last session, and last usage date may be shared with that employer or organization.
91% confidence
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Risk Flags
3 findings
Critical issues, red flags, or areas where users should exercise extreme caution. These typically involve significant privacy, security, or autonomy concerns that are often hard to reverse.
high95% confidence
Payment data used for fraud prevention by a third party
DeepL may transmit payment data, IP address, and device information to Riskified for fraud prevention purposes, which Riskified also collects and processes directly, including behavior in the checkout process and an identifier via a JavaScript beacon.
Why it matters: Your personal payment details, IP address, device information, and checkout behavior may be shared with and collected by a third-party fraud prevention service for analysis.
When you purchase DeepL Pro services on our website, DeepL may transmit data like your first name, last name, billing address, email address, the DeepL service you booked, its price, your IP address, a truncated form of your payment data (for credit cards this is the BIN, the last four digits of the credit card and the bank issuing the card, for SEPA payments this is the bank code and the last 4 digits from your IBAN) to Riskified for verification purposes.
6.3 Processors involved in the DeepL Pro checkout process, paragraph 3 · Citation strength: strong
high95% confidence
DeepL may automatically decline DeepL Pro subscription if Riskified assesses payment as fraudulent
If Riskified assesses a payment as fraudulent, DeepL may automatically decline a request to subscribe to DeepL Pro, which is justified as necessary for entering into a contract.
Why it matters: Your subscription request to DeepL Pro may be automatically rejected if a third-party fraud assessment deems your payment fraudulent, potentially preventing you from accessing the service.
If Riskified assesses a payment as fraudulent, we may automatically decline your request to subscribe to DeepL Pro. This is justified, because this fraud analysis is necessary for entering into a contract with us.
6.3 Processors involved in the DeepL Pro checkout process, paragraph 3 · Citation strength: strong
medium90% confidence
Riskified processes data for its own purposes, potentially transferring it to the USA
Riskified processes the data transferred to them and collected in the checkout process for their own purposes, and this data may be transferred to the USA.
Why it matters: A third-party fraud prevention service may use your data for its own purposes, and your data might be transferred to the USA.
Riskified processes the data we transfer to them and the data they collect in our checkout process for their own purposes. The data may be transferred to the USA.
6.3 Processors involved in the DeepL Pro checkout process, paragraph 6 · Citation strength: strong
Data Use
2 findings
Practices related to how your data is collected, used, shared, and managed. This section highlights policies on data monetization, aggregation, and third-party sharing.
medium90% confidence
Business email address and usage data shared with company domain holder
If a business email address is used to create a DeepL account, the email address may be shared with the holder of the company email domain. This sharing can include usage data associated with the account if the company indicates legitimate reasons, such as purchasing DeepL Pro licenses for the company.
Why it matters: If you use a business email for your account, your email address and potentially your usage data might be shared with your employer or organization if they have a legitimate reason, like assessing their need for DeepL Pro licenses.
If you use your business email address for creating an account with DeepL, we may share this email address with the holder of the company email domain associated with your email address. We will only do this, if the company has legitimate reasons to ask for this data e.g., is interested in purchasing DeepL Pro licenses for the whole company and has confirmed to us that email addresses under their company email domain may only be used for business purposes and may not be used for private purposes. In some cases, sharing of data may also include sharing of usage data associated with your account to allow the company to assess their specific need on DeepL Pro licenses.
Usage data shared with employer/organization for DeepL Pro subscriptions
If DeepL Pro access is provided by an employer or organization, usage data like the number of translated characters and documents, last session, and last usage date may be shared with that employer or organization.
Why it matters: Your employer or organization, if they provide your DeepL Pro subscription, may receive data on your usage behavior, including how many characters and documents you translate and your last activity.
If you yourself are not a party to the DeepL Pro subscription, but access to our products is provided to you by your employer or an organization to which you belong, we may share data about your usage of the subscription (e.g. number of translated characters and documents across the DeepL products, last session and last usage date) with your employer or organization.
Terms related to subscription management, including automatic renewals, cancellation processes, and refund policies. This section helps users understand their financial commitments and options.
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Gotchas
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Unexpected or subtle clauses that might surprise users, often found in the fine print. These can include limitations of liability, changes to terms, or specific user responsibilities.
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Protections
0 findings
Features and policies designed to protect user rights, privacy, and security. This section highlights beneficial clauses such as data encryption, clear data deletion policies, and strong user control over personal information.
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