Pseudonymisation software to prepare your matters
Lexanon combines document reading, personal data detection and replacement review on your computer. Prepare documents, review results and choose what to share with people or AI tools.
Lexanon combines document reading, personal data detection and replacement review on your computer. Prepare documents, review results and choose what to share with people or AI tools.
Detect sensitive data and replace it with consistent pseudonyms, entirely on your computer.
Explore BancoYour models and integrations work only with pseudonymised documents you have explicitly approved.
Explore LayerLocal scan reading and faithful PDF reconstruction.
ExploreDetect sensitive entities and anonymise locally before export.
ExploreOrganise matters and documents, with search and consistent filing.
ExploreRestore original text from a pseudonymised document.
ExploreMerge, convert, compress and prepare PDFs before analysis.
ExploreAnalyse pseudonymised matters with a local AI chat, professional tools and your API keys.
ExploreBring your tools and models into Layer, using documents you have approved.
ExploreA scanned PDF starts as an image. OCR makes its text usable for analysis. LexOCR handles this preparation; scan quality remains decisive. Blurred pages, handwriting and complex tables require appropriate checks. The PDF tools also help prepare pages before continuing.
Banco proposes detections of entities in documents. The software helps keep labels consistent within a matter, but detection does not remove the need to review. Check similar names, abbreviations and indirect references that could reveal someone's identity.
The mapping table connects pseudonyms to original information. Keep it separate from shared documents and accessible only to authorised people. Decode restores information when you have this mapping. Always prepare a working copy and check the final version.
Layer brings together models and integrations available in your environment. Documents you mark as processed define the working scope. Review the prompt too: repeating a name in a question may reintroduce information removed from the file. Choosing a remote model requires assessing its terms and data processing conditions.
Our article on local pseudonymisation explains this workflow. To choose a configuration suited to your needs, talk to the Lexanon team.