Public safety agencies process high volumes of documents every day — incident reports, use-of-force records, evidence logs, chain-of-custody forms, EMS patient care reports, grant applications, and after-action reports, the list goes on.
Inaccurate or delayed document processing creates evidentiary risk, exposes agencies to compliance findings, and consumes officer time that should be spent on public safety operations.
LandingAI transforms documents into highly accurate, verifiable, structured data so teams can reliably automate document-intensive workflows.
Automated extraction from incident reports, arrest records, and supporting documentation reduces the administrative time officers and investigators spend on data entry, freeing capacity for active case work.

Every extracted value is grounded to its precise location in the source document, giving evidence management and legal teams a defensible, traceable record that satisfies prosecutorial disclosure and chain-of- custody requirements.

Accurate extraction from federal and state grant documents, progress reports, and financial records supports compliance reporting without increasing the administrative burden on agency grant management staff.

Intelligent document processing across law enforcement, fire services, emergency medical services, and emergency management is extremely difficult due to the sheer diversity of document types, the inconsistent layouts and the domain expertise required. Then add multiple languages, handwriting, photographs, scans and faxes to the complexity.
Accurate parsing of dense tables that span multiple pages and contain merged cells.
Single pipeline for image, slide, document, and spreadsheet file types with 1000+ pages.
Strong recognition of character-based languages, handwriting, checkboxes, stamps and signatures.
Schema-driven field extraction with visual grounding traceable to the original document.
Extract incident type, location, subject information, narrative, and disposition data from police reports, fire incident reports, EMS patient care reports, and use-of-force documentation to populate case management systems and support investigative workflows.
Capture item descriptions, collection details, custody transfers, and disposition records from evidence submission forms, property receipts, and chain-of-custody logs to maintain defensible evidence integrity across the lifecycle of every case.
Extract program data, expenditure records, and performance metrics from federal and state grant applications, progress reports, financial reimbursement requests, and closeout documents to meet reporting requirements across Byrne JAG, SAFER, FEMA BRIC, and other public safety grant programs.
Agentic Document Extraction enables public safety agencies to automate document-intensive processes that traditionally require manual review.
Agentic Document Extraction has proven to be both accurate and easy to use. We are building on that foundation to deliver reliable, transparent, and scalable automation that our customers can validate and trust.”
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ADE has significantly outperformed other document extractors we’ve used. It has helped us build an Agentic RAG answer engine, based on unique healthcare institutional content, to offer instant, validated support to medical professionals at the point of care.”
View case study →Trust is the product. Accuracy alone isn’t enough at enterprise scale—what matters is provenance, traceability, and control. LandingAI gives us confidence that every extracted value can be traced back to its source, audited, and defended. That’s what makes it deployable in regulated, real-world environments.”
View case study →
Agentic Document Extraction has proven to be both accurate and easy to use. We are building on that foundation to deliver reliable, transparent, and scalable automation that our customers can validate and trust.”
View case study →
ADE has significantly outperformed other document extractors we’ve used. It has helped us build an Agentic RAG answer engine, based on unique healthcare institutional content, to offer instant, validated support to medical professionals at the point of care.”
View case study →Trust is the product. Accuracy alone isn’t enough at enterprise scale—what matters is provenance, traceability, and control. LandingAI gives us confidence that every extracted value can be traced back to its source, audited, and defended. That’s what makes it deployable in regulated, real-world environments.”
View case study →