CamoText

CamoText (camotext.ai) is offline desktop software for detecting and anonymizing PII and sensitive text, specifically designed for compliant AI/LLM workflows in legal practice. Runs fully offline — no data leaves the user’s machine — directly addressing the core concern of attorneys sending confidential client data to cloud AI services. Built in-house at Varia Law by Larry Florio and Erich Dylus (practicing attorney). CamoText Pro tier supports formatting preservation, tracked change handling, and structure retention. Listed on ILTA LegalTechHub and ACC Directory. Connected to Varia Law’s ‘AI for Small Firms’ practice. Based in Silver Spring, MD. Very small team (1-2 employees, ~102 LinkedIn followers). Reddit users on r/legaltech and r/Rag confirm positive usage — ‘fully local and pretty easy to use.’ Practitioner-origin (built at a law firm for actual legal workflows) is a genuine differentiator vs. generic anonymization tools. User workflow appears to be: open document → detect/anonymize PII → copy anonymized text → paste into AI tool. Not evaluable for enterprise/firm-wide deployment — positioned as individual practitioner tool. Competes with AWS Comprehend, Microsoft Presidio, Private AI, and Nymiz.

Who It’s For

• Law firm attorneys and paralegals needing to safely use AI tools without risking client confidentiality
• Compliance officers establishing AI governance policies that require data sanitization before AI use
• In-house legal teams handling sensitive corporate data who want to leverage AI tools compliantly
• Government legal teams requiring offline redaction capabilities for sensitive documents

The very small team (1-2 employees) and practitioner origin (built at a law firm for its own needs) suggest a focused, purpose-built tool rather than an enterprise platform.

What We Haven’t Verified

• Pricing not publicly available — licensing model unclear
• Very small team (1-2 employees) — sustainability and support cadence concerns
• No G2, Capterra, or formal review platform presence
• PII detection accuracy not independently benchmarked
• Document type support range unclear (PDFs, scanned documents, or only editable text?)
• Enterprise deployment and multi-user licensing not documented
• Relationship with Varia Law (parent, spin-off, or side project?) unclear
• Competes with AWS Comprehend, Microsoft Presidio, Private AI, Nymiz