Occlira effectively eliminates personal and sensitive information from legal documentation prior to sharing or utilizing external AI services, while also enabling the restoration of that information afterward.
The software is capable of analyzing .docx and .pdf formats, identifying various elements such as names, addresses, email addresses, phone numbers, identification and tax numbers, IBANs, case identifiers, and corporate names through a localized machine learning model that is specifically optimized for the German, Austrian, and Swiss contexts.
All operations are conducted on the user’s device, ensuring that documents are not transmitted to any external servers.
Recognized entities are substituted with uniform placeholders like [PERSON_1] or [COMPANY_A], which maintains the readability of the text.
The mapping of detected data is securely stored on the device, allowing for a reversible process: users can anonymize a contract, utilize it with AI models like ChatGPT or Claude, and then seamlessly reintegrate the actual names into the document afterward.
Each detection is presented for user verification prior to implementation, and the formatting of the output remains true to the original document.
This solution is available as a signed desktop application compatible with both Windows and macOS, offered under a one-time licensing model. Additionally, users benefit from enhanced privacy, knowing their data is protected throughout the entire process.