Stripe
· Stripe Privacy Policy
Data retention for compliance and fraud prevention is standard operational practice in payment processing, as financial services entities are subject to regulatory mandates requiring preservation of transaction records and fraud detection capabilities for specified periods.
Roblox
· Roblox Privacy and Cookie Policy
The clause creates a carve-out from full data deletion by permitting extended retention of identifying information beyond account termination, which maintains the entity's ability to track or recognize returning users or devices during the two-year retention window for fraud and abuse prevention.
The absence of a specified data retention limit means the company retains operational discretion over retention duration based on stated purposes, rather than a defined schedule or automatic deletion protocol. The security disclaimer establishes that data protection relies on good faith efforts rather than contractual commitments to specific safeguards.
This provision establishes the operational framework for T-Mobile's data lifecycle management, defining retention periods across multiple service categories and business functions. The clause grounds retention authority in both regulatory compliance obligations and legitimate business operations rather than indefinite retention.
EA
· EA Privacy and Cookie Policy
Open-ended retention standards create operational flexibility for the entity to maintain data archives beyond typical engagement periods, which has implications for the duration users' personal information remains in EA's systems and available for processing.
The clause creates a retention framework tied to service necessity rather than indefinite storage, establishing operational obligations for data lifecycle management. It specifies procedural requirements—deletion, anonymization, or secure isolation—that govern how personal information transitions from active use to non-operational status.
This provision establishes the operational framework governing the company's data lifecycle management, defining both the retention triggers (service provision and stated purposes) and the mandatory procedures for data disposition (deletion, anonymization, or isolation). The clause creates a procedural obligation to eventually eliminate retained data rather than maintain indefinite archives.
This clause defines the operational scope and duration of Calendly's data stewardship obligations. It establishes that retention decisions are tied to stated business purposes and legal requirements, with a requirement to dispose of or de-identify data once those purposes no longer apply.
The clause operationalizes data lifecycle management by anchoring retention to multiple justified purposes rather than a fixed timeline. This structure permits extended retention where legal or operational justification exists while establishing that retention is not indefinite.
The provision creates a variable retention model rather than fixed deletion timelines, meaning data persistence depends on operational necessity determinations and product-specific contexts. This framework allows Microsoft to maintain data across different service categories based on service delivery requirements and legal obligations rather than standardized timeframes.
This provision establishes Meta's operational framework for data retention and deletion, specifying that retention determinations are individualized rather than standardized, and clarifying the scope of deletion obligations when account termination is requested. The distinction between user-posted content subject to deletion and third-party-shared information that remains in Meta's systems creates separate data management pathways.
This provision establishes the temporal scope and operational basis for data retention. By anchoring retention to legal compliance obligations and dispute resolution, the clause creates an indefinite retention framework where retention duration is determined by regulatory requirements and contractual enforcement needs rather than a fixed time period.
The retention policy creates a tiered framework that ties data persistence to operational relationship status and legal requirements rather than a fixed retention schedule. This structure permits extended retention periods when legal obligations or litigation risk factors are present, giving the entity discretion in applying retention timeframes within the bounds stated.
Bumble
· Bumble Privacy Policy
The clause operationalizes data retention constraints by tying data lifecycle management to dual criteria: functional necessity and legal compliance ceilings. This establishes a procedural framework for when Bumble must delete or depersonalize user data rather than maintaining indefinite archives.
The provision creates a dual retention framework: a service-necessity standard for ongoing operations, and a broader set of institutional purposes (legal compliance, dispute resolution, fraud prevention, agreement enforcement, legitimate interests) that may extend retention beyond active service provision. This structure allows data retention across multiple operational and legal contexts.
Ledger
· Ledger Privacy Policy
This provision establishes the operational framework for data retention duration, permitting extended retention periods when justified by legal compliance requirements or contractual enforcement needs, rather than restricting retention to a fixed timeframe.
Webull
· Webull Privacy Policy
This clause defines the operational boundaries for how long Webull stores user data, establishing that retention periods are governed by necessity of purpose and legal compliance rather than indefinite storage. The provision creates a structured framework requiring ongoing assessment of retention appropriateness based on specified criteria.
Steam
· Steam Privacy Policy
This provision establishes the operational framework governing data lifecycle management within Valve's systems, specifying both the retention trigger (purposes fulfilled) and the disposal mechanism (deletion or anonymization). The clause delineates Valve's obligations regarding when and how personal data transitions from active processing to removal or anonymization.
This provision establishes Home Depot's operational framework for data lifecycle management, defining both the retention period (tied to stated purposes and legal obligations) and the company's obligation to dispose of data upon purpose completion. The clause creates a time-limited retention model rather than indefinite data storage.
The clause creates a need-based retention standard rather than fixed retention periods, authorizing Squarespace to maintain data for operational and compliance purposes while establishing obligations to remove or isolate data when business justification ends. This affects the duration and scope of data processing the company conducts.
The provision operationalizes Checkout.com's compliance obligations under data protection and financial services regulations, which typically mandate multi-year retention of transaction records for audit, dispute resolution, and regulatory reporting. The indefinite retention of anonymized analytical data enables the entity to maintain historical performance metrics and trend analysis without ongoing retention justifications.
The provision operationalizes how long Thomson Reuters maintains personal data across its systems and establishes the criteria governing retention decisions. This framework directly affects data lifecycle management, compliance with regulatory retention mandates, and the timing of data deletion or anonymization processes.
The clause defines the operational parameters for data lifecycle management by tying retention duration to stated business and legal purposes rather than establishing a fixed time period, which affects the scope and duration of DocuSign's data stewardship obligations.
Udemy
· Udemy Privacy Policy
The provision establishes a flexible retention framework that ties data persistence to operational and legal necessity rather than fixed time periods. This structure authorizes retention decisions based on multiple justifications, each with potentially different duration implications.
Medium
· Medium Privacy Policy
This clause defines the operational framework for data retention duration and grounds for post-termination retention. It establishes that retention extends beyond active account status for specified institutional purposes, rather than limiting retention to the active service period alone.
Waze
· Waze Privacy Policy
The provision defines the operational scope of data retention by linking persistence to service delivery and legal obligations, while separately authorizing prolonged retention of location and usage data as a distinct operational practice for service enhancement.
OpenAI
· OpenAI Privacy Policy
The clause authorizes data retention across multiple operational categories (service provision, legal obligations, dispute resolution, contract enforcement) without specifying fixed retention timelines, establishing a principle-based rather than time-bound retention framework.
The retention policy defines the operational lifecycle of user data within Leonardo AI's systems and establishes the conditions under which data disposal or anonymization occurs. This framework addresses both service continuity requirements and data minimization obligations under privacy regulations.
This provision establishes the retention framework governing how long Robinhood maintains personal data in its systems. The operational significance lies in the connection between retention duration and specific institutional purposes—legal compliance, dispute resolution, and contract enforcement—rather than retention by default.
This provision establishes the retention timeline and deletion procedures for personal data held by Shopify. It defines the operational framework under which data lifecycle management occurs, specifying both the retention triggers and the deletion or anonymization obligations that conclude the retention period.