LLM-based Schema-Guided Extraction and Validation of Missing-Person Intelligence from Heterogeneous Data Sources

Researchers introduce Guardian Parser Pack, an AI-driven system that extracts and normalizes missing-person intelligence from heterogeneous documents using LLM-assisted parsing combined with schema validation. The system achieved 86.64% F1 score on manual evaluation while improving data completeness to 96.97%, demonstrating practical viability of probabilistic AI in high-stakes investigative workflows.