Document upload
The user imports a PDF, DOCX or plain-text document into the secure workspace.
— Essential
Legal document pseudonymization
The KGM pseudonymizer replaces identifying information with neutral values before a document is sent to an artificial intelligence model. Lawyers preserve the legal meaning of the document without directly exposing confidential client information.
Contrat
Jean Dupont
123 Rue des Lilas
dupont@mail.com
Contrat
PERSON_001
ADDRESS_001
EMAIL_001
The problem: using AI without compromising confidential data
Contracts, pleadings, decisions and case files often contain names, addresses, contact details, internal references or information that can identify a client. Sending them directly to an AI system can create confidentiality, compliance and professional liability risks.
How it works
Sensitive data detection
The system identifies people, organizations, addresses, emails, phone numbers, references and other sensitive information.
Human validation
The user reviews the detections and can remove or manually add elements to pseudonymize.
Secure use
The pseudonymized document can be downloaded or sent to other KGM AI tools.
Use cases
Prepare a contract before AI analysis.
Hide client data before automatic summarization.
Create a neutral version of a document for teamwork.
Reduce sensitive data exposure when using AI tools.
Security and confidentiality
Pseudonymization takes place before AI processing. It does not necessarily make a document fully anonymous, but it significantly reduces the exposure of directly identifying information.
The user retains final control over every detected element. This human validation prevents blind automation on sensitive legal documents.
FAQ
Is pseudonymization automatic?
Detection is automatic, but every element can be approved, removed or manually added by the user.
Which file formats are supported?
The tool is designed to process PDF, DOCX and plain-text documents depending on the platform configuration.
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