Hidden in plain sight.
Names and numbers sit in footers, attachments, scanned images and free-text notes.
What personal data is in these files?
Every file checked for names, contact details, account numbers and health information, and redacted before it leaves your control.
See it worked throughIt looks anonymous.
It isn’t.
Personal data hides in places a quick read misses: a signature block, a scanned form, a spreadsheet column nobody scrolled to.
Redacted by hand.
Black boxes drawn by people miss items, and some leave the text underneath.
Shared under pressure.
Disclosure requests and data-room deadlines leave no time for a second check.
What the AI reads.
Every page, cell and attachment read for personal and confidential data, including text inside images.
In
- Documents and scans
- Emails and attachments
- Spreadsheets and exports
- Call notes and transcripts
- Your data classification policy
- The disclosure request
At work
- Sense Reads every format, including scans, photos and text inside images.
- Understand Recognises names, addresses, account numbers and health details in context.
- Check Applies your policy to each item: remove, mask, or keep with a reason.
- Operate Produces the redacted copy and logs every change for review.
Out
A redacted copy, a log of every change, and the original kept safe.
Every item found.
Every redaction logged.
The disclosure team sees what was found, what was removed and why, before anything is released.
6 items found · 5 redacted · 1 kept with a reason
| Page | Found | Action | Detail | Rule |
|---|---|---|---|---|
| p. 3 | Customer name and home address | Redacted | Letter header and signature block | Personal |
| p. 7 | Bank account and sort code | Redacted | Inside a scanned direct debit form | Financial |
| p. 12 | Mobile phone number | Redacted | Free-text note from a call handler | Personal |
| p. 19 | Reference to a medical condition | Redacted | Email from the customer’s relative | Health |
| p. 26 | A third party’s name | Redacted | Neighbour named in a complaint letter | Third party |
| p. 31 | Staff member’s name | Kept | Named handler; your policy keeps staff names | Policy 4.2 |
Redacted
Letter header and signature block.
p. 3 · Customer name and home addressRedacted
Inside a scanned direct debit form.
p. 7 · Bank account and sort codeRedacted
Free-text note from a call handler.
p. 12 · Mobile phone numberRedacted
Email from the customer’s relative.
p. 19 · Reference to a medical condition
Illustrative example. Files, people and details are fictional.
Built for data protection.
The AI finds and redacts. Your reviewers still decide what is released.
Removed, not covered.
Redacted text is taken out of the file, so it can’t be copied back.
How Check works ↗Every redaction logged.
Each item shows where it was, why it went and which rule applied.
How Operate works ↗Runs inside your boundary.
Files are read where they are kept and never sent out to be checked.
Deployment options ↗Same records.
Other questions.
The documents and data behind this work answer other questions too.
Where is the evidence for the audit?
Audit evidence
Pull the proof together from every system.
See how →What actually happened with this complaint?
Customer complaints
Reconstruct what happened, and how it was handled.
See how →Is this customer who they say they are?
Onboarding checks
Verify identity documents and flag the gaps.
See how →What does this contract commit us to?
Contract obligations
Every obligation, owner and deadline in one list.
See how →Bring us a file you need to share.
We’ll show you every item of personal data in it, and the redacted copy we would release.
Talk to us →LondonDiscovery AI Limited · United Kingdom
HyderabadReDscvry Technology Private Limited · India
ChennaiReDscvry Technology Private Limited · India