How Long Should an AI System Keep Your Data?

Data should have an expiration date.

Retention is just the plan for how long you keep data and when you delete it. The principle is simple: keep data as long as you need it for the purpose you collected it, then let it go. A support ticket from 2019 is not helping your AI model in 2025. It's just sitting there, waiting to become a problem.

So make the schedule explicit. Thirty days for chat logs. One year for analytics. Whatever fits your reality. Write it down, assign someone to enforce it, and actually delete on schedule.

Stale data is a quiet liability. It costs storage, it confuses models, and it expands what you owe people if something goes wrong.

Keeping everything forever isn't being thorough. It's procrastinating on a decision.

I explain frameworks; I don't give legal counsel.