Advocacy and policy organizations process high volumes of documents every day — grant applications, lobbying disclosure filings, regulatory comment letters, legislative testimony, policy research reports, and coalition correspondence, the list goes on.
Slow or inaccurate document processing delays compliance filings, increases disclosure risk, and reduces the time staff can spend on policy work.
LandingAI transforms documents into highly accurate, verifiable, structured data so teams can reliably automate document-intensive workflows.
Accurate extraction from lobbying activity records, disclosure filings, and expenditure documentation keeps compliance current without expanding the legal and finance staff time dedicated to disclosure preparation.

Every extracted value is traceable to its precise location in the source document, giving program and finance teams the defensible record required for foundation grant audits, government funding compliance reviews, and annual financial audits.

Structured extraction from regulatory filings, agency correspondence, and legislative records accelerates policy research workflows, freeing analysts to focus on interpretation rather than manual document review.

Intelligent document processing across trade associations, advocacy nonprofits, think tanks, and coalition organizations 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 project objectives, budget line items, and funder compliance requirements from grant proposals, award agreements, progress reports, and financial statements to manage multi-funder portfolios and meet reporting deadlines across foundation and government funders.
Extract lobbying activity records, covered official contacts, issue descriptions, and expenditure data from lobbying logs, contact reports, and financial records to support LD-2, state lobbying disclosure, and LDA compliance filings.
Extract regulatory proposal summaries, comment deadlines, agency positions, and supporting data from Federal Register notices, proposed rulemakings, agency guidance documents, and submitted public comments to support policy research and advocacy strategy.
Agentic Document Extraction enables advocacy and policy organizations 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 →