DSR Automation That Scales
Respond to data subject requests accurately and on time, even as complexity grows.
Bring Order to Data Subject Requests
Scale DSR operations without scaling teams
DataGrail Request Manager orchestrates DSRs across fragmented systems and 2,400+ integrations, helping teams manage rising request volume under regulatory pressure, without relying on manual coordination.
Centralize DSR intake across channels
DataGrail Request Manager replaces inboxes and spreadsheets with branded request forms that automatically log, organize, and track every Data Subject Access Request in one dashboard as volume grows.
Fulfill requests accurately and securely
DataGrail removes guesswork from DSR fulfillment using Smart Verification™ and automated workflows that limit human error, prevent unauthorized access, and deliver access, deletion, and opt-out requests on time.
Life360 Maps 400+ Systems to Cut DSR Processing from 18 Staff to 1
“Our data engineers used to use a semi-manual script for data deletion requests, but the script couldn’t reach all 3rd party systems. DataGrail’s no-click automations gave our data engineer more than half of his life back.”
Explore how it works
No-code request intake and tracking
Branded forms on your site funnel requests straight into a centralized workstream. Every submission is logged automatically, so nothing gets lost and your team always knows what’s in progress.
Patented Identity verification
DataGrail’s patented Smart Verification™ authenticates requesters using data you already have without causing friction for legitimate users, while reducing exposure to fraudulent requests.
Automated request fulfillment
DataGrail searches across 2,400+ connected systems to locate personal data, then orchestrates access, deletion, and opt-out requests automatically. What used to pull your legal, IT, and engineering teams offline for days, can now be completed by a single person in minutes.
Centralized management and oversight
From one dashboard, track every request, coordinate with internal teams and vendors, and maintain an auditable trail for deadlines and compliance reviews.
The trusted leader in data privacy
FAQ
What is a data subject request (DSR) and who can submit one?
A data subject request is a formal request from an individual to access, delete, correct, or opt out of the sale of their personal data. Under laws like GDPR, CCPA/CPRA, and the growing list of U.S. state privacy laws, anyone whose data you collect can submit one: customers, employees, job applicants, even website visitors. Authorized agents can also submit requests on someone else’s behalf.
What's the difference between access, deletion, and opt-out requests?
- Access requests ask you to provide a copy of all personal data you hold on the requester, along with details about how it’s used and who it’s shared with.
- Deletion requests ask you to erase the requester’s personal data from your systems (with some exceptions for legal holds or contractual obligations).
- Opt-out requests ask you to stop selling or sharing personal data for targeted advertising or other purposes covered by laws like CCPA/CPRA.
Each type has different workflows and can cause more friction than clarity. Organizations would benefit from a platform that offers centralized tracking and automated orchestration.
Who should own the DSR process internally?
There’s no single right answer, and it depends on your org structure. Legal often owns policy and compliance risk, but IT and engineering get pulled in to query systems, and customer-facing teams handle intake. The problem is when ownership is fragmented: requests stall, deadlines slip, and no one has full visibility. The most effective setups centralize coordination in one platform while letting each team handle their piece without bottlenecks.
What are the legal deadlines for fulfilling DSRs?
It depends on the regulation.
- GDPR: 30 days, with a possible 60-day extension for complex requests
- CCPA/CPRA: 45 days, with a possible 45-day extension
- Most U.S. state laws: 45 days is the standard, though some allow extensions
Missing these deadlines can trigger regulatory scrutiny, fines, and reputational damage. Coordinating systems and teams fast enough to meet it consistently matters.
How many systems does a typical company need to search to fulfill a DSR?
It varies, but mid-size and enterprise companies often have personal data spread across 50 to 200+ systems. Think of just your common systems: CRMs, marketing platforms, analytics tools, HR systems, payment processors, and support software. Fulfilling a single access request means querying all of them, and additionally discovering data across other systems you didn’t know housed the personal data you host. This is why integration depth matters so much.
Why is identity verification important before fulfilling a DSR?
Fulfilling a request without verifying identity can expose personal data to the wrong person, creating a breach while trying to comply with privacy law. But overly burdensome verification creates friction for legitimate requesters and may even violate regulations that prohibit collecting unnecessary data. The best approach uses existing data signals to authenticate identity without adding steps or gathering new information.
How should we handle DSRs involving third-party vendors?
You’re still accountable for data held by your vendors. When a deletion request comes in, you need to ensure processors and subprocessors delete the data too. They must also document that they did. Instead of chasing vendors manually, it’s best to use a system that can orchestrate requests across external partners automatically and maintain an auditable trail.
What makes DSR fulfillment so difficult at scale?
Three things compound quickly: data sprawl, manual processes, and cross-team coordination. Most companies store personal data across dozens or hundreds of systems like internal databases, SaaS apps, third-party vendors. Without automation and broad integration coverage, legal, IT, and engineering teams end up chasing data manually, request by request. That simply doesn’t scale.
What should we look for in a DSR management solution?
Look for broad integration coverage so the tool can actually reach your data wherever it lives. Identity verification should confirm requesters without creating friction or collecting extra data. Automation should handle the repetitive coordination work across routing requests, tracking deadlines, logging actions, so your team focuses on exceptions, not process. And everything should feed into a centralized dashboard with audit-ready records.
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