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LocalRedact vs RedactLaw

LocalRedact

github.com

RedactLaw

redactlaw.com

Side by side

FigureLocalRedactRedactLaw
Price fromFree$39/mo
Free planYesYes
Free trial—Yes
Open source——
Web—Yes
WindowsYes—
macOSYes—
LinuxYes—
APIYesYes
Self-hostedYesYes
Plans published15
Spec score · Document Redaction Software8.4 (#7)8.5 (#6)
ComplianceThe project describes its detection as best effort and says it is not a compliance certification.RedactLaw says its infrastructure uses SOC 2 Type II certified providers and that HIPAA BAAs are available.
DetectionSupported targets include personal, financial, government, health, and credential data, plus quoted exact values and selected page or layout instructions.Its AI detects PII and HIPAA identifiers, uses context-aware recognition, and assigns confidence scores for review.
IntegrationsThe base package depends on PyMuPDF, and the optional HTTP service can be installed with the server extra.Clio, MyCase, PracticePanther, iManage, NetDocuments, Dropbox, OneDrive, Box and generic cloud storage are marked coming soon; REST API is marked available now.
OCRScanned PDFs can use locally installed Tesseract through an OCR option, while image-only pages fail closed without OCR by default.Built-in OCR processes scanned PDFs and image files, including JPEG, PNG and TIFF inputs.
PurposeLocalRedact is a private PDF redaction tool that processes plain-English instructions with deterministic rules.RedactLaw describes itself as an AI-powered document redaction platform built exclusively for law firms.

Plans

LocalRedact

  • LocalRedactFree

LocalRedact pricing →

RedactLaw

  • FreeFree
  • Starter$39 a month
  • Pro$79 a month
  • Firm$149 a month
  • EnterprisePriced on request

RedactLaw pricing →

In their own words

LocalRedact

LocalRedact is a free, open-source PDF redaction tool that follows plain-English instructions using deterministic rules. It removes text beneath redacted areas and blanks image pixels where those areas overlap. Detection can target personal, financial, government, health, and credential data, as well as quoted values and selected page or layout instructions. Processing happens locally: the project says it uses no LLM, cloud API, telemetry, or model download, and reads text and coordinates with PyMuPDF. By default, it removes common PDF extras such as metadata, embedded files, JavaScript, links, and saved form state. After saving, it reopens the document and checks whether detected values remain extractable. Interfaces include a Python API, two command-line tools, and an optional HTTP service. Scanned PDFs can use locally installed Tesseract; image-only pages fail closed without OCR by default. The package requires Python 3.10 or later and is available for Windows, macOS, and Linux. The project calls the software alpha and warns that detection is best effort, not a compliance certification. It recommends visually reviewing high-stakes output.

Visit github.com

RedactLaw

RedactLaw is an AI-powered document redaction platform made for law firms. It detects personal information and HIPAA identifiers, applies context-aware recognition, and assigns confidence scores to help users review proposed redactions. Reviewers can compare a detection with the original, approve or reject items individually, or handle flagged items in bulk. The product says it removes underlying data permanently and clears metadata and hidden layers from redacted files. It accepts PDF, DOCX, XLSX, JPEG, PNG, and TIFF files, including scanned documents through OCR, and produces redacted PDFs. Templates cover medical records, court filings, FOIA responses, financial discovery, employment records, and immigration files. Redaction decisions, users, and timestamps appear in an audit trail, with PDF and CSV exports. RedactLaw is available on the web, by API, and as self-hosted software. The free plan allows five documents a month, up to ten pages each, for one user; paid plans start at $39 a month.

Visit redactlaw.com