Documentation rendue
Cette page rend le Markdown et Mermaid du module directement depuis la source publique de documentation.
Overview#
The Privacy domain provides AI-powered privacy protection and legal compliance capabilities. It implements PII detection, face detection, Brady material identification (exculpatory evidence disclosure), and automated redaction with full audit trails for legal compliance.
Key Features#
- PII detection supporting SSN, phone, email, address, date of birth, credit card, license, passport, and custom patterns
- ML-based recognition with confidence scoring and bounding box location
- Face detection with bounding boxes, classification (subject, witness, law enforcement), and demographic estimation
- Automated redaction using black box, blur, pixelate, text replacement, and removal methods
- Brady material identification for exculpatory, impeachment, mitigating, credibility, and misconduct evidence
- AI-based significance scoring with deadline tracking and disclosure audit trails
- Compliance with Brady v. Maryland disclosure obligations and CJIS security requirements
- GDPR and CCPA support for data minimization and subject access requests
- Configurable confidence thresholds for detection and auto-redaction
- Comprehensive compliance scoring and review status tracking
Use Cases#
- Detecting and redacting PII in investigation documents before disclosure or sharing
- Automatically identifying and blurring non-subject faces in body camera and surveillance footage
- Scanning case evidence for Brady material to ensure timely prosecution disclosure obligations
- Generating compliance reports showing redaction and disclosure completion status
Integration#
The Privacy domain connects with evidence management, investigation context, export systems, and secure sharing workflows. It uses OCR engines for document processing and ML models for face detection and Brady analysis.
Last Reviewed: 2026-02-05