Keep client data out of your AI, and out of discovery.

RedactLocal replaces client-identifying details on your own machine before anything reaches a model, then restores them locally. The document never leaves your computer.

No sign-up required · No data uploaded · 100% offline processing

Built To Support Model Rule 1.6 And ABA Opinion 512

In United States v. Heppner, No. 25-cr-00503-JSR (S.D.N.Y.), the court held that a criminal defendant's exchanges with a publicly available consumer AI platform, used without counsel's direction, are not protected by attorney-client privilege or work product. Bench ruling 10 February 2026, written opinion 17 February 2026 (Rakoff, J.); a question of first impression.

United States v. Heppner, No. 25-cr-00503-JSR (S.D.N.Y. 2026) · Verified as of July 15, 2026

Contrary authority: In Warner v. Gilbarco, Inc., No. 2:24-cv-12333 (E.D. Mich., 10 February 2026) (Patti, M.J.), work product protection applied to a pro se litigant's Generative AI-assisted materials; Generative AI tools are tools, not persons, so using one is not disclosure to an adversary and does not waive work product.

United States-Specific Entity Detection

RedactLocal detects these United States-specific identifiers, plus 20+ general entity types.

SSN (Social Security Number)

9-digit federal tax and benefits ID

EIN (Employer Identification Number)

9-digit federal business tax ID

State Bar Number

Attorney registration number

Driver's License Number

State-issued driver identification

US Passport Number

Travel document number issued by State Department

How It Works

Three steps between your confidential document and a safe, AI-ready version.

1

Scan

Drop in any PDF, DOCX, TXT, CSV, or XLSX file. RedactLocal identifies names, addresses, IDs, phone numbers, and 20+ entity types in seconds.

2

Review

See every detected entity. Correct labels, merge duplicates, accept or reject. You stay in control.

3

Pseudonymize And Export

One click replaces all PII with consistent pseudonyms. Export as TXT, PDF, DOCX, CSV, or XLSX. Deanonymize anytime with your private mapping vault.

Built For Trust

Security is not a feature. It is the architecture.

Your Documents Stay Local

All document processing runs on your desktop. No files, text, or entity data are transmitted to any server. The only network calls are license activation and update checks.

AES-256 Encrypted Vault

The mapping between original names and pseudonyms is stored in an AES-256-GCM encrypted vault on your machine. Only you can deanonymize your documents.

Full Audit Trail

Every scan, pseudonymization, and deanonymization is logged locally. Generate compliance reports for internal governance or regulatory review.

Built for compliance with ABA Opinion 512 · UK GDPR · Privacy Act 1988 · PDPA · RA 10173 · CCPA

Pricing

Start free. Upgrade when you need pseudonymization and export.

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Free

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$0forever
  • Scan documents for PII
  • Review detected entities
  • Privacy Risk Score
  • Entity Summary Report
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Solo

For individual practitioners

$49/mo
  • Everything in Free
  • Pseudonymize documents
  • Export TXT, PDF, DOCX, CSV, XLSX
  • Deanonymize with private mapping vault
  • 1 machine activation
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14-day money-back guarantee

Professional

For teams and firms

$149/mo
  • Everything in Solo
  • 5 machine activations
  • Priority support
  • Team-wide PII governance
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14-day money-back guarantee

United States FAQ

In United States v. Heppner (S.D.N.Y., February 2026) the court held that a defendant's unsupervised chats with a consumer AI tool were not privileged. A separate ruling protected counsel-directed, documented use, so the posture matters.
It reduces the confidentiality exposure by keeping client data on your machine, so there is no third-party transmission to evaluate. It is a support for the duty, not a substitute for your judgment.

Ready To Use AI Safely?

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