# Medical Records Redaction Software

> Medical records redaction software detects PHI, PII, other-patient identifiers, and privileged content, suggesting redactions for human approval.

Canonical page: https://medrecords.ai/product/medical-records-redaction/

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[Home](https://medrecords.ai/) ›[Product](https://medrecords.ai/product/) › — PHI Redaction & Production Prep
MEDICAL RECORDS REDACTION SOFTWARE

## Produce the file — not the parts that were never yours to produce.

Medical records redaction software detects PHI, PII, other-patient identifiers, and privileged content automatically, then suggests each redaction for your approval — per item or per category — before anything is burned in. Approved redactions are applied to a logged, production-ready copy; nothing ships unreviewed, and the original record is never altered.

**Suggest-then-approve:** the AI proposes every redaction; a human reviewer approves it, per item or per category, before anything is burned in. Nothing ships unreviewed, and the original record is never altered.

[Test a file ](https://medrecords.ai/test-a-file/?src=product-medical-records-redaction)
 [Book a demo](https://medrecords.ai/demo/)
Adams, Timothy — right knee · Case #IME-4812
 342 pages · 2 packets
Suggested redaction — Category — Status
Social Security number
 PHI
 ✓ Approved
Date of birth
 PHI
 Awaiting review
Other-patient content — p.140
 CO-MINGLED
 Quarantined
Email to defense counsel
 PRIVILEGED?
 For counsel
Nothing burned in until a reviewer approves — original preserved
In action — Case #IME-4812
342 pages scanned for identifiers, the co-mingled p.140 quarantined, and every proposed redaction **held for human approval** before the production copy exists.

### Detection that reads like a reviewer, not a regex.

Names, SSNs, dates of birth, MRNs, addresses, and phone numbers are found in context — typed or handwritten, in headers, footers, and margins. 2 categories generic tools miss are first-class here: pages that belong to a different patient, and content that looks privileged.

Direct identifiers found in context across every page
Other-patient pages and privilege candidates flagged separately
Detection categories
PHI / PII
Names, SSNs, DOBs, MRNs, addresses, phone numbers
Other-patient content
Co-mingled pages quarantined before they leak
Privilege candidates
Attorney communications flagged for counsel review
Custom terms
Case-specific names and terms you add per matter
Every detection carries its page location and category — a suggestion, not an action.
Redaction profiles
 same source · separate approvals
Opposing counsel
Full PHI set + privilege withheld
APPROVED
Client copy
Other-patient content only
IN REVIEW
Internal working copy
Unredacted — access-controlled
RESTRICTED

### You approve — per item, per category, per audience.

Work through suggestions one by one, or approve a whole category at once when the pattern is clear. Build different redaction profiles from the same suggestions: the set opposing counsel receives is not the set your client receives, and each is approved and logged on its own.

Approve or reject individually, or by category in bulk
Separate profiles for opposing counsel, client, and internal use

### A production copy with a paper trail.

Approved redactions are burned into a separate production set; the original stays intact and access-controlled. Every applied redaction is logged with its page, category, reason code, approver, and timestamp — so "what was withheld, and why" has a documented answer.

Original record preserved, never overwritten
Exportable log: page, category, reason code, approver
Redaction log
 exportable · per production
Page — Category — Reason code — Approved by
p.2
 PHI · SSN
 HIPAA-ID
 Reviewer, K.
p.140
 CO-MINGLED
 OTHER-PT
 Reviewer, K.
p.342
 PRIVILEGE
 AC-COMM
 Counsel, R.
Rejected suggestions are logged too — the record shows what was considered, not just what was applied.
Review queue · Case #IME-4812
 human-gated
AI suggests
 every redaction, cited to its page
Human approves
 per item or per category
Then, and only then
 burned into the production copy
The original
 never altered
AI suggests, humans decide

### No automatic redaction ships unreviewed.

A missed identifier is a privacy incident; an over-redaction is a discovery fight. Both are human calls. That's why every suggestion is cited to its page, every approval is attributed, and the whole run lands in the audit trail — legally defensible because a person signed off on it.

[See Audit Trail & Chain of Custody ](https://medrecords.ai/product/audit-trail-chain-of-custody/)

### From raw record to redacted production.

3 steps, with a human gate in the middle where it belongs.

STEP 1
Upload and scan
Every page is read and scanned for PHI, PII, other-patient content, and privilege candidates — each detection cited to its page.

STEP 2
Review and approve
A reviewer works the suggestion queue — approving, rejecting, or escalating to counsel — per item or per category.

STEP 3
Produce the logged copy
Approved redactions are burned into a production set with its log attached; the original stays intact and access-controlled.

### Who prepares productions with it.

Anyone who has to hand a medical file to someone who shouldn't see all of it.

[
IME organizations
Exam files cleaned of other-patient pages before they reach the evaluator.

For IME orgs
 ](https://medrecords.ai/solutions/medical-evaluators/)
 [
Law firms
Discovery productions redacted, logged, and defensible — privilege flagged for counsel.

For law firms
 ](https://medrecords.ai/solutions/law-firms/)
 [
TPAs & case management
Claim files shared across parties with the right redaction profile per recipient.

For TPAs
 ](https://medrecords.ai/solutions/tpas/)
 [
Insurance carriers
PHI minimization on outbound files, with a log that stands up in an audit.

For carriers
 ](https://medrecords.ai/solutions/insurance-carriers/)
FAQ

### Medical records redaction, answered.

No. Approved redactions are burned into a separate production copy; the original record is preserved untouched, page for page. You can always go back to the unredacted source, and the platform keeps the 2 clearly separated so the wrong version can't go out by accident.

Names, Social Security numbers, dates of birth, medical record numbers, addresses, phone numbers, and similar direct identifiers — plus 2 categories generic tools miss: content belonging to a different patient (co-mingled pages), and communications that look privileged. Every detection is a suggestion with a category and location, not an applied redaction.

Yes. A production for opposing counsel, a copy for your client, and an internal working copy can each carry a different approved redaction set — built from the same suggestions, approved separately, and logged separately. One source record, several defensible outputs.

Every applied redaction, with its page location, category, reason code, who approved it, and when. Rejected suggestions are logged too. If you're later asked to justify what was withheld and why, the log is the answer — exportable alongside the production set.

Pages and passages that look like attorney-client communications or work product are flagged as a distinct category for counsel to review — flagged, never auto-redacted. Privilege calls are legal judgments, so the platform surfaces the candidates and a human makes the call.

### Related capabilities.

Redaction sits between organizing the file and producing it — these are its neighbors.

[
Bates Numbering & Stamping
Sequential numbers and legends on the same production pass.

Explore
 ](https://medrecords.ai/product/bates-numbering-stamping/)
 [
Co-Mingled Records Detection
Wrong-patient pages quarantined before analysis or production.

Explore
 ](https://medrecords.ai/product/co-mingled-records-detection/)
 [
Audit Trail & Chain of Custody
An immutable log of every access, edit, and export on the file.

Explore
 ](https://medrecords.ai/product/audit-trail-chain-of-custody/)
 [
Document Sorting & Packet Builder
Rule-based sorting and packet assembly ahead of production.

Explore
 ](https://medrecords.ai/product/document-sorting-packet-builder/)

### Produce a redacted set you can defend.

Upload a file and see the suggested redactions, the review queue, and the log — before anything is burned in. Handled under our BAA; never used to train a model.

[Test a file ](https://medrecords.ai/test-a-file/?src=product-medical-records-redaction)
 [Book a demo](https://medrecords.ai/demo/)
 [All capabilities ](https://medrecords.ai/product/)
