Document upload
The user imports a PDF, DOCX or plain text document into the secure interface.
— Essential
Legal document pseudonymization
KGM pseudonymization replaces identifying data in a document with neutral values before any AI analysis. Lawyers keep the business meaning of the document without exposing sensitive client information.
Contrat
Jean Dupont
123 Rue des Lilas
dupont@mail.com
Contrat
PERSON_001
ADDRESS_001
EMAIL_001
The problem: using AI without sending confidential data
Contracts often contain names, addresses, emails, phone numbers, internal references, amounts or information that can identify a client. Sending the raw document to generative AI creates confidentiality, compliance and liability risks.
How it works
Sensitive data detection
The system detects people, organizations, addresses, emails, phone numbers, references and other sensitive values.
Human validation
The user can approve, remove or manually add elements to pseudonymize.
Usable document
The pseudonymized document can be downloaded or used with 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 internal work.
Reduce sensitive data exposure when using AI tools.
Security and confidentiality
Pseudonymization happens before AI usage. It does not make the document absolutely anonymous, but it significantly reduces exposure of directly identifying data.
The user keeps final control over detected elements. This validation step prevents blind automation on sensitive legal documents.
FAQ
Is pseudonymization automatic?
Yes, detection is automatic. The user can then approve, remove or manually add elements.
Which formats are supported?
The tool is designed to process PDF, DOCX and text documents depending on the project configuration.
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