Forensic AI system CHARLIE uses on-premise RAG for evidential reasoning

Researchers have developed CHARLIE, an on-premise multi-agent Retrieval-Augmented Generation (RAG) system designed for evidential reasoning in forensic science. This system addresses the challenges of handling large volumes of sensitive documents within forensic workflows by operating entirely within institutional infrastructure, thus preserving data sovereignty and legal compliance. CHARLIE integrates local retrieval, task decomposition, structured memory, and verification mechanisms to enable scalable data extraction and longitudinal intelligence generation while maintaining traceability and auditability. AI

IMPACT Enables secure and traceable AI deployment in high-stakes forensic environments, potentially improving efficiency and compliance.

RANK_REASON The cluster contains an academic paper detailing a new system. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

• arXiv
• forensic science
• Hugging Face
• retrieval-augmented generation

• paper
• product
• infra

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