Data Subject Access Requests (DSARs) are a cornerstone of modern privacy regulation. But for many organizations, fulfilling these requests efficiently and completely remains a major challenge, particularly when it comes to unstructured data.
Emails, PDFs, chat logs, video files, and voice recordings often make up the bulk of an organization's personal data. Yet these formats are harder to search, retrieve, and redact than structured data stored in neatly labeled databases. And as DSAR volumes grow, so do the risks: operationally, financially, and in terms of compliance.
This white paper, in collaboration with data privacy expert Professor Geoff Smith, explores how organizations can modernize their approach to DSARs and reduce the friction that unstructured data introduces.
Discovery is the chokepoint
Over 80% of privacy and legal professionals say unstructured data slows them down when fulfilling subject access requests. Without proper tooling, what should be routine turns into a fire drill.
Costs are climbing
Some DSARs can cost over $1,400 each, with extreme cases reaching six figures. That’s just for one request. Add in hundreds per year? It’s a serious operational drag.
Manual processes still rule
Despite the hype around privacy automation, most of the work, especially around discovery and redaction, is still painfully manual. AI helps, but it’s not a magic wand.
The takeaway?
If your privacy program isn’t built for unstructured data, you’re not ready for modern DSARs. The good news: there are steps you can take now to fix that.
If your team is working to improve DSAR response times, lower costs, or simply get a better handle on unstructured data, this white paper is a valuable resource. In it, we unpack:
✅ Why most DSARs stall when it comes to unstructured data
✅ A step-by-step process for navigating DSAR fulfillment
✅ The critical limitations in manual processes and how you can overcome them
✅ Expanding privacy laws and enforcement have made DSAR fulfillment a key compliance and reputational imperative.
Ready to take control of your dark data?