Free Online Terms Acceptance Log Template
Generate a structured consent and terms acceptance log template.
Log schema
Fill in the first sample record and choose how many example rows to generate. The SQL, CSV, and Markdown outputs update together.
This is a template, not legal advice. A consent log should match your actual product, retention policy, and applicable law. Consult a qualified professional before relying on it as evidence.
About the Terms Acceptance Log Template
When someone accepts your terms or privacy policy, you may need to show what they accepted, when, and how. A structured acceptance log records that evidence in a form that survives staff changes, redesigns, and disputes. This generator builds a sample schema for six common fields: user identifier, email, acceptance timestamp, IP address, policy version, and acceptance method. It then renders the same sample rows as CSV, SQL, and a Markdown table, so a product manager, developer, and reviewer can work from one source.
The SQL output includes a portable CREATE TABLE statement and matching INSERT
statements. The CSV output has a header row and quoted values, ready for a spreadsheet or an import script.
The Markdown table is useful in a design document or a ticket. All three update as you change the form, and
the sample count lets you see how multiple records look without writing them by hand. You can copy the
current tab or download it with the correct extension.
What a useful record contains
- Stable user reference: an internal identifier rather than a display name that can change.
- Contact value: the email or account address used at acceptance time, which may differ from the current one.
- Timestamp with time zone: record the instant in UTC or with an explicit offset so the order of events is unambiguous.
- Policy version: a version identifier or hash that points to the exact text shown, not just "privacy policy".
- Method: checkbox, button click, typed name, signed document, or API, so you can explain how consent was captured.
- Context: page, locale, form identifier, or campaign where appropriate, kept separately from the core row if the schema grows.
Design and retention notes
IP addresses and email addresses are personal data in many jurisdictions, so the log itself needs access controls, retention rules, and a lawful basis. Avoid storing more than you need. A hash of an IP address may be enough for fraud review in some cases, but hashing can reduce evidential value if you later need the original. Keep the accepted text or an immutable snapshot, because a live page can change after acceptance. Record time zone information explicitly; a local timestamp without an offset is difficult to interpret.
The sample rows are fictional and the schema is intentionally simple. Real systems often separate the acceptance event from the user record, add a foreign key, and keep an audit trail of policy publication. This tool does not connect to a database, validate consent, or certify compliance. It provides an informational template, not legal advice, and you should adapt the schema to your own engineering and legal requirements.
Frequently asked questions
Is a checkbox click enough to prove consent?
Not by itself. You need to show what text was displayed, which version applied, and that the action was recorded at the time. Keep an immutable snapshot of the policy and a reliable timestamp.
Should I store the IP address?
Only if you have a documented purpose such as security, fraud prevention, or audit. IP addresses are personal data in many laws, so apply access control and a retention period. Some teams store a truncated or hashed value instead.
Can I run the generated SQL directly?
Treat it as a starting point. Check the data types, time zone handling, indexes, and constraints for your database. The template uses generic SQL and does not include every production concern.