vLex Anonymization API

openapi: 3.1.0
info:
  title: vLex Iceberg Anonymization API
  description: The vLex Iceberg Anonymization API identifies and anonymizes names and personally identifiable information from any text input. Pre-trained on legal data to recognize personal names, organizations, and sensitive entities within legal documents, contracts, and court filings for privacy protection and data compliance workflows.
  version: 1.0.0
  contact:
    name: vLex Developer Support
    url: https://developer.vlex.com/
  license:
    name: Proprietary
    url: https://vlex.com/
servers:
- url: https://api.vlex.com
  description: vLex Iceberg API
tags:
- name: Anonymization
  description: Identify and anonymize personally identifiable information in text
paths:
  /v1/anonymize:
    post:
      operationId: anonymizeText
      summary: Anonymize Text
      description: Accepts a text input and identifies all personally identifiable information (names, organizations, and other sensitive entities). Returns the original text with identified entities replaced or tagged for anonymization. Pre-trained on legal data to handle case law, contracts, and regulatory documents.
      tags:
      - Anonymization
      security:
      - SubscriptionKey: []
      requestBody:
        required: true
        content:
          application/json:
            schema:
              $ref: '#/components/schemas/AnonymizeRequest'
            examples:
              legalText:
                summary: Anonymize a legal document excerpt
                value:
                  text: In the case of John Smith v. ABC Corporation, filed on March 15, 2026 in the District Court of New York, the plaintiff John Smith alleges that...
                  mode: replace
                  replacement_token: '[PERSON]'
      responses:
        '200':
          description: Anonymized text with identified entities
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/AnonymizeResponse'
        '400':
          $ref: '#/components/responses/BadRequest'
        '401':
          $ref: '#/components/responses/Unauthorized'
        '429':
          $ref: '#/components/responses/RateLimited'
  /v1/anonymize/entities:
    post:
      operationId: extractEntities
      summary: Extract Named Entities
      description: Extract named entities from text without replacing them. Returns a list of identified entities with their positions, types, and confidence scores. Useful for entity analysis and document review.
      tags:
      - Anonymization
      security:
      - SubscriptionKey: []
      requestBody:
        required: true
        content:
          application/json:
            schema:
              $ref: '#/components/schemas/ExtractEntitiesRequest'
      responses:
        '200':
          description: List of identified entities
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/ExtractEntitiesResponse'
        '400':
          $ref: '#/components/responses/BadRequest'
        '401':
          $ref: '#/components/responses/Unauthorized'
components:
  schemas:
    ExtractEntitiesResponse:
      type: object
      description: Extracted entities from the input text.
      properties:
        entities:
          type: array
          items:
            $ref: '#/components/schemas/Entity'
        entity_count:
          type: integer
        processing_time_ms:
          type: integer
    Entity:
      type: object
      description: A named entity identified in the input text.
      properties:
        text:
          type: string
          description: The original entity text as it appears in the document.
          example: John Smith
        entity_type:
          type: string
          description: The type of entity detected.
          enum:
          - PERSON
          - ORGANIZATION
          - LOCATION
          - DATE
          - EMAIL
          - PHONE
          - ID_NUMBER
          example: PERSON
        confidence:
          type: number
          format: float
          description: Confidence score between 0 and 1.
          minimum: 0
          maximum: 1
          example: 0.97
        start_offset:
          type: integer
          description: Character offset where the entity begins in the input text.
        end_offset:
          type: integer
          description: Character offset where the entity ends.
    ExtractEntitiesRequest:
      type: object
      required:
      - text
      description: Request body for entity extraction.
      properties:
        text:
          type: string
          description: Input text to analyze.
          minLength: 1
          maxLength: 50000
        entity_types:
          type: array
          items:
            type: string
          description: Entity types to extract.
        language:
          type: string
          default: en
    AnonymizeRequest:
      type: object
      required:
      - text
      description: Request body for text anonymization.
      properties:
        text:
          type: string
          description: The input text to anonymize. Can be a legal document, contract, or any text containing personal data.
          minLength: 1
          maxLength: 50000
        mode:
          type: string
          description: Anonymization mode.
          enum:
          - replace
          - tag
          - redact
          default: replace
        replacement_token:
          type: string
          description: Token to use when replacing identified entities (for mode=replace). Use entity-type-specific tokens like [PERSON], [ORG] or a generic [REDACTED].
          default: '[REDACTED]'
        entity_types:
          type: array
          items:
            type: string
            enum:
            - PERSON
            - ORGANIZATION
            - LOCATION
            - DATE
            - EMAIL
            - PHONE
            - ID_NUMBER
          description: Entity types to detect. Defaults to all types if not specified.
        language:
          type: string
          description: BCP-47 language tag of the input text.
          default: en
          example: en
    Error:
      type: object
      properties:
        error:
          type: string
        message:
          type: string
        code:
          type: integer
    AnonymizeResponse:
      type: object
      description: Anonymized text with entity metadata.
      properties:
        anonymized_text:
          type: string
          description: The input text with detected entities replaced or tagged.
        entities:
          type: array
          items:
            $ref: '#/components/schemas/Entity'
          description: List of all detected entities.
        entity_count:
          type: integer
          description: Total number of entities detected.
        processing_time_ms:
          type: integer
          description: Processing time in milliseconds.
  responses:
    Unauthorized:
      description: Invalid or missing subscription key
      content:
        application/json:
          schema:
            $ref: '#/components/schemas/Error'
    BadRequest:
      description: Invalid request
      content:
        application/json:
          schema:
            $ref: '#/components/schemas/Error'
    RateLimited:
      description: Rate limit exceeded
      content:
        application/json:
          schema:
            $ref: '#/components/schemas/Error'
  securitySchemes:
    SubscriptionKey:
      type: apiKey
      in: header
      name: Ocp-Apim-Subscription-Key
      description: vLex API subscription key obtained from the developer portal.
externalDocs:
  description: vLex Developer Portal
  url: https://developer.vlex.com/apis