Problem
A California-based law enforcement agency required a scalable AI solution to process investigative documents containing highly sensitive information.
As part of an artificial intelligence consulting engagement, Plavno designed and deployed an AI intelligent agent capable of automatically detecting and anonymizing sensitive entities before documents were shared externally or used for analytics.
Investigative documents included personal names, addresses, organizational references, incident descriptions, and other sensitive content.
Manual anonymization:
Consumed significant officer time
Introduced human error risks
Increased potential exposure of confidential information
Slowed operational workflows
Challenge
The solution had to:
Operate in a US government environment
Meet California-specific data protection requirements
Support strict access controls
Ensure signed data residency agreements
Maintain high NLP accuracy in legal documents
Additionally, despite the development team being located in Europe, cooperation required formal compliance approvals and secure infrastructure validation.
Solution
Secure AI Agent for Automated Document Anonymization
Plavno designed and deployed a custom AI intelligent agent powered by advanced NLP-based Named Entity Recognition (NER), purpose-built for secure document redaction in law enforcement environments. This was not a standard automation tool — it was a compliance-focused AI redaction engine capable of instantly detecting and masking sensitive information while meeting strict government data protection requirements.
Product Highlights
Automated redaction workflow: Upload → Detect → Classify → Mask → Generate secure version.
Named Entity Recognition (NER): AI intelligent agent detects names, locations, organizations, case IDs, and other sensitive entities.
Policy-driven anonymization rules: Custom masking logic aligned with California law enforcement security policies.
Cross-document processing: Batch anonymization for large investigative document sets.
Secure audit logging: Every redaction event is recorded for compliance and traceability.
Cloud-native secure deployment: Built for high-security environments with strict access control.
User Flows
Receive: Officer uploads investigative report to secure system.
Process: AI agent scans narrative text using NLP-based entity recognition.
Redact: Sensitive entities are masked or removed based on policy configuration.
Generate: An anonymized document version is automatically produced.
Learn: Continuous model refinement improves detection accuracy for law enforcement language patterns.
Experience & Scale
Sub-second entity detection: Optimized NLP processing for large legal documents.
High-precision redaction accuracy: Minimized false negatives in sensitive environments.
Secure multi-role access control: Strict authorization for government workflows.
Batch processing at scale: Thousands of documents processed monthly.
Compliance-ready architecture: Designed to meet US government and California data residency requirements.
