Handling Bulk or Coordinated Rights Requests
A sudden spike of similar rights requests can be a legitimate awareness campaign, a genuine data quality issue, or something adversarial. Triage needs to sort out which before assuming the worst.
Why a spike is not automatically a problem
It is tempting, when a batch of near-identical rights requests arrives at once, to treat the volume itself as suspicious. But a surge can have entirely legitimate causes - a news story about a data practice, an advocacy group encouraging its members to exercise their rights, or a genuine systemic issue affecting many people the same way. None of those scenarios makes the individual requests less valid.
Section 15's bar on frivolous complaints applies to the substance of an individual request, not to the fact that many people submitted a similar one around the same time. Coordinated does not mean frivolous, and treating volume alone as grounds for suspicion risks denying legitimate requests at scale.
Building a triage workflow that scales
The operational challenge with bulk requests is capacity, not legitimacy - a process built to handle a handful of requests a month will buckle under a few hundred arriving in a week. Set up a workflow that can batch-process the parts of the response that are genuinely identical across requesters, such as a standard explanation of what data categories are collected, while still individually verifying identity and confirming the specific data for each person.
Prioritize based on the prescribed response timeframe under the Rules rather than the order requests arrived, so nobody's request quietly falls outside the deadline because it landed on a particularly busy day.
When the pattern points to something adversarial
Occasionally a batch of requests will show signs of not being genuine - fabricated identity details, requests tied to accounts that do not exist, or a pattern clearly designed to overwhelm the response process rather than to exercise a real right. That is the narrower situation where the frivolous-complaint provision under Section 15 could actually be relevant, but even then the evaluation should be done request by request, with documentation, rather than as a blanket dismissal of the whole batch.
If the volume genuinely threatens your ability to meet response deadlines for other, unrelated requests, that operational strain is worth escalating internally early, so additional resourcing or a temporary process adjustment can be put in place before deadlines start slipping.
Where to go next
The Request Handling Toolkit includes a batching workflow designed for exactly this scenario, and the Checklist Generator can help build a consistent, defensible evaluation checklist for any requests that look like they need closer scrutiny.