
Lexanon
Lexanon provides on-premise software that anonymizes and pseudonymizes sensitive data in legal documents directly on the user's workstation, ensuring no data leaves the machine. The platform combines local entity detection with an AI integration layer, called Layer, which allows users to control which pseudonymized documents are shared with external AI tools. It also offers a service for anonymizing entire databases to support GDPR compliance.
- Artificial Intelligence
- Legal Technology
- Regulatory & Compliance Technology
- Software Only
Funding
Founders
Product
Problem
Legal professionals handling sensitive documents face a dilemma: sharing files with AI tools or external collaborators risks exposing personal data, while manual redaction is time-consuming and error-prone. Existing cloud-based anonymization solutions require sending documents to remote servers, creating security and compliance concerns, especially under GDPR.
Solution
Lexanon is a desktop software that performs local analysis, pseudonymization, and entity resolution of legal documents, ensuring no sensitive data ever leaves the user's machine. The platform uses OCR to read scanned documents, intelligently detects and replaces sensitive entities with coherent pseudonyms, and allows users to reconstruct original text when needed. A dedicated integration layer, Layer, lets users connect their preferred AI models and tools, but only grants access to explicitly validated, pseudonymized documents. This approach gives legal teams the benefits of AI assistance while maintaining full control over their data and compliance with privacy regulations.
Target Audience
Primary customers are law firms, legal departments, and organizations handling sensitive legal documents that need to use AI tools while ensuring GDPR compliance and data security.
Features
- Local OCR (LexOCR) for accurate reading of scanned documents and faithful PDF reconstruction
- Intelligent pseudonymization that detects sensitive entities and replaces them with coherent, context-aware pseudonyms
- Document manager for organizing files by case, with search and classification capabilities
- De-identification reversal feature to retrieve original text from pseudonymized documents
- PDF toolkit for merging, converting, compressing, and preparing files before analysis
- Layer integration router that connects to external AI models and tools, operating only on user-approved pseudonymized documents