Most businesses collect far more data than they need and keep it far longer than they should. Customer records from years ago, email lists that have never been cleaned, analytics data with no expiry, employee files from long-departed staff — the data accumulates silently until a regulator asks a simple question: “Why do you still have this?”

Under GDPR, this question has teeth. The “storage limitation” principle (Article 5(1)(e)) requires that personal data be kept “for no longer than is necessary for the purposes for which the personal data are processed.” Similar requirements exist in California's CPRA, the UK GDPR, Canada's PIPEDA, and virtually every new US state privacy law enacted in 2025 and 2026.

A data retention policy is the document that answers this question for your business. It sets out what data you hold, how long you keep it, and when and how it is deleted. Here is how to create one.

What Is a Data Retention Policy?

A data retention policy is an internal document that defines your organisation's rules for how long different categories of data are stored before being deleted or anonymised. It typically includes:

A data inventory — what categories of personal data you collect
A retention schedule — how long each category is retained
The legal or business justification for each retention period
The deletion or anonymisation procedure when the retention period expires
Roles and responsibilities for enforcing the policy
Exceptions and holds (e.g., litigation holds, regulatory investigations)

A data retention policy is distinct from your privacy policy, though the two are related. Your privacy policy is a public-facing document that tells users how long you keep their data. Your data retention policy is an internal operational document that tells your team exactly how to implement those commitments. Both are necessary.

Why You Need a Data Retention Policy

Legal Compliance

Multiple laws require you to define and enforce data retention periods:

GDPR (Article 5(1)(e)) — Storage limitation principle. Data must not be kept longer than necessary. Regulators actively check whether businesses can justify their retention periods.
CCPA/CPRA — Requires businesses to disclose retention periods in their privacy policy (as of the 2023 regulations). The California Privacy Protection Agency has confirmed this is an enforcement priority.
UK GDPR — Same storage limitation principle as EU GDPR. The ICO has issued multiple fines for excessive data retention.
US state privacy laws (2025–2026) — Colorado, Virginia, Connecticut, Oregon, Texas, Montana, Iowa, Indiana, Tennessee, and others all include data minimisation or retention disclosure requirements.
Industry regulations — HIPAA (healthcare), PCI DSS (payments), SOX (financial), and others impose specific retention periods for certain data types.

Reduced Risk

Every piece of data you store is a liability. Data you no longer need but still hold can be:

Breached — You cannot have a data breach on data you have already deleted. Retaining data beyond its useful life increases your attack surface and the potential impact of a breach.
Subject to access requests — Under GDPR and CCPA, users can request all data you hold about them. The more data you retain, the more complex and costly these requests become.
Subpoenaed — Data you hold can be demanded as evidence in litigation. Data you have properly deleted according to your retention policy (before any litigation hold) generally cannot.

Cost Savings

Data storage costs money. Database hosting, backups, compliance overhead, and the engineering time to manage growing data sets all add up. A retention policy that enforces regular deletion directly reduces storage costs and operational complexity.

How to Create a Data Retention Policy

Step 1: Conduct a Data Inventory

Before you can set retention periods, you need to know what data you have. Create an inventory of all personal data your business collects and stores, organised by category. For a typical online business, this might include:

Customer account data — Names, email addresses, passwords, profile information
Transaction data — Purchase history, payment records, invoices
Communication data — Support tickets, emails, chat transcripts
Marketing data — Email subscription preferences, campaign interactions, lead scoring
Analytics data — Website visits, page views, session recordings, A/B test results
Employee data — HR records, payroll, performance reviews, contracts
Applicant data — CVs, interview notes, background check results
Technical data — Server logs, error logs, IP addresses, device information

For each category, document where the data is stored (which system, database, or service), who is responsible for it, and whether it contains sensitive personal data (health, financial, biometric, or children's data) that may require shorter retention periods.

Step 2: Determine Retention Periods

For each data category, set a retention period based on three factors:

Legal requirements — Some data must be kept for a minimum period (e.g., tax records for 6–7 years, employment records for varying periods depending on jurisdiction)
Business necessity — How long do you actually need the data to provide your service, fulfil contracts, or protect your interests?
Privacy principles — The data minimisation principle says you should not keep data longer than necessary. When in doubt, shorter is better.

Recommended Retention Periods

While every business is different, here are commonly accepted retention periods that balance legal requirements with data minimisation:

Customer account data — Duration of the account plus 12–24 months after account closure or last activity (to handle post-cancellation queries and chargebacks)
Transaction and payment records — 7 years (required for tax and accounting purposes in the UK and most US states)
Marketing email lists — Until consent is withdrawn, plus 30 days for processing. Inactive subscribers should be removed after 12–24 months of non-engagement.
Customer support tickets — 24–36 months after resolution (for quality assurance and dispute resolution)
Website analytics — 14–26 months (Google Analytics defaults to 14 months for user-level data)
Server and error logs — 90 days to 12 months (for debugging and security monitoring)
Employee records — Duration of employment plus 6–7 years (varies by jurisdiction; UK HMRC requires payroll records for 6 years)
Job applicant data — 6–12 months after the recruitment decision (to defend against potential discrimination claims)
CCTV and security footage — 30–90 days (unless needed for an investigation)
Cookie and consent records — Duration of consent validity plus 12 months (to demonstrate compliance)

Step 3: Define Deletion Procedures

For each data category, document exactly how data is deleted when the retention period expires. This should include:

Who is responsible — Assign a data owner for each category (e.g., the engineering team handles server logs, HR handles employee records)
How deletion is performed — Is it automated or manual? Which systems are involved? Is it a hard delete or soft delete?
Backup considerations — Data in backups must also be addressed. If backups are retained for 30 days, data may persist in backups for up to 30 days after deletion from production systems. Document this.
Anonymisation as an alternative — Under GDPR, data that has been truly anonymised (not just pseudonymised) is no longer personal data and can be retained indefinitely for analytics or research purposes. However, anonymisation must be irreversible.

Step 4: Document Exceptions

There are legitimate reasons to retain data beyond the standard retention period:

Litigation holds — If litigation is anticipated or in progress, you must preserve all potentially relevant data, overriding normal deletion schedules. Deleting data subject to a litigation hold can result in sanctions, adverse inferences, or contempt of court.
Regulatory investigations — Similar to litigation holds, data relevant to a regulatory investigation must be preserved.
Legal minimum retention periods — Some data must be kept for a legally mandated minimum period, regardless of your preference for shorter retention.
User requests — Under GDPR, users can request early deletion. This overrides your retention schedule in most cases (unless you have a legal obligation to retain the data).

Step 5: Implement and Automate

A data retention policy is only useful if it is actually enforced. The most effective approach is automation:

Configure automated deletion jobs in your databases and systems
Set up expiry dates on records at the time of creation
Use your CRM, email platform, and analytics tools' built-in retention settings
Schedule regular audits (quarterly or biannually) to verify that deletion is occurring as planned
Log all deletions for compliance records

Data Retention Policy Template Structure

A well-structured data retention policy document should include the following sections:

1. Purpose and Scope

State why the policy exists, what data it covers, and which parts of the organisation it applies to. Example: “This policy establishes retention periods for all personal data processed by [Company Name] and its subsidiaries. It applies to data in all formats — digital and physical — across all business functions.”

2. Definitions

Define key terms: personal data, sensitive personal data, retention period, deletion, anonymisation, data controller, data processor, litigation hold.

3. Retention Schedule

The core of the document. Present a table or structured list showing each data category, its retention period, the justification, and the responsible party. This is the section that regulators will scrutinise most closely.

4. Deletion and Anonymisation Procedures

Describe how data is deleted or anonymised when the retention period expires, including backup handling and verification processes.

5. Exceptions and Holds

Document the process for placing and lifting litigation holds and regulatory preservation orders.

6. Roles and Responsibilities

Assign ownership: who maintains the policy, who enforces it, who audits compliance. For smaller businesses, this may be one person. For larger organisations, it involves data protection officers, IT teams, and department heads.

7. Review and Updates

State how often the policy is reviewed (annually is standard) and what triggers an out-of-cycle review (new regulations, new data types, organisational changes).

How Your Data Retention Policy Connects to Your Privacy Policy

Your data retention policy is an internal document. Your privacy policy is the public-facing version. The two must be consistent. Here is how they connect:

Your privacy policy must state retention periods. Under GDPR Article 13 and CPRA regulations, you must tell users how long you keep their data. These periods must match your internal retention policy.
Your privacy policy should explain the criteria. If you cannot state an exact period (e.g., “we keep your data for 24 months”), you must explain the criteria used to determine the period (e.g., “we keep your data for as long as your account is active, plus 12 months”).
Deletion requests must be honoured. When a user exercises their right to deletion under GDPR or CCPA, your retention policy should document how this overrides normal retention schedules and what exceptions apply (e.g., you may retain transaction records for tax compliance even after a deletion request).

Common Data Retention Mistakes

Retaining everything indefinitely. The most common mistake. “We keep everything in case we need it someday” is not a valid retention policy and violates GDPR's storage limitation principle. Every data category must have a defined retention period with a justification.
Setting retention periods but not enforcing them. A policy that exists on paper but is never implemented provides no legal protection. Regulators will check whether data is actually being deleted according to your stated schedule.
Forgetting about backups. Data in production databases may be properly deleted, but copies in backups can persist for weeks or months longer. Your policy must address backup retention and the delay between production deletion and backup expiry.
Ignoring third-party services. Data you share with processors (email platforms, analytics tools, CRMs, payment providers) is subject to your retention policy. You must ensure your processors delete data in accordance with your retention schedule, typically via data processing agreements.
No distinction between data categories. A blanket “we keep all data for 5 years” policy fails the proportionality test. Different types of data have different purposes and require different retention periods. Server logs do not need the same retention period as financial records.
Not documenting the justification. For each retention period, you should be able to explain why that specific duration was chosen. “Because that is what we have always done” is not adequate. The justification should reference legal requirements, business necessity, or both.

Industry-Specific Retention Requirements

E-commerce and SaaS

Transaction records must typically be retained for 6–7 years for tax purposes. Customer account data should be retained for the duration of the account plus a reasonable wind-down period. Marketing data should follow consent-based retention with automatic cleanup of inactive subscribers.

Healthcare

HIPAA requires medical records to be retained for 6 years from the date of creation or last effective date. State laws may require longer periods. Patient data requires special handling and encryption, and destruction must be documented.

Financial Services

Anti-money laundering (AML) regulations typically require customer identification records for 5 years after the business relationship ends. Transaction records are commonly retained for 7 years. Regulatory requirements vary significantly by jurisdiction.

Education

Student records under FERPA must be retained for the duration of enrolment plus a specified period. Transcript data is often retained permanently. COPPA imposes strict limits on data retention for children under 13.

Generate Your Data Retention Policy

Creating a data retention policy from scratch requires understanding your data inventory, the applicable legal requirements for your jurisdiction and industry, and the practical mechanics of implementing deletion schedules. It is a significant undertaking, especially for small and medium businesses without a dedicated legal or compliance team.

LegalForge generates privacy policies that include comprehensive data retention disclosures. Tell us about your business, what data you collect, and where you operate — and we produce a policy with appropriate retention periods, deletion procedures, and compliance language for GDPR, CCPA, and applicable US state laws. One-time payment, no ongoing subscription, and ready to implement in minutes.

Key Takeaways

A data retention policy is no longer optional for businesses that collect personal data. GDPR, CCPA, and the growing wave of US state privacy laws all require you to define, disclose, and enforce retention periods for each category of personal data you process.

The core principle is straightforward: do not keep data longer than you need it. For each data category, determine the minimum retention period based on legal requirements and genuine business necessity, then delete or anonymise the data when that period expires.

The most effective retention policies are automated. Configure your systems to delete data on schedule, audit compliance regularly, and ensure your public privacy policy accurately reflects your internal practices. A well-implemented data retention policy reduces legal risk, cuts storage costs, limits breach exposure, and demonstrates to regulators that you take data protection seriously.

If you are starting from scratch, begin with a data inventory. Know what you have, where it lives, and why you have it. From there, setting appropriate retention periods and building deletion procedures becomes a manageable process — especially with tools like LegalForge to handle the legal language.

Data Retention Policy Template: How to Create One for Your Business