Political action committees process high volumes of documents throughout every election cycle — contribution checks, payroll deduction authorization forms, donor verification records, vendor invoices, bank statements, FEC disclosure reports, and state-level campaign finance filings, the list goes on.
Inaccurate or delayed document processing creates compliance exposure and puts filings at risk of error.
LandingAI transforms documents into highly accurate, verifiable, structured data so teams can reliably automate document-intensive workflows.
Every extracted value is grounded to its precise location in the source document, giving treasurers and compliance counsel a defensible, traceable record for every contribution and disbursement entered into disclosure reports.

Contribution records arrive as checks, scanned authorization forms, online receipts, and handwritten pledge cards — ADE maintains extraction accuracy across all of them without requiring separate templates for each format.

Document volume spikes sharply in the weeks before filing deadlines; ADE processes high document volumes without increasing headcount, keeping reporting timelines intact regardless of intake volume.

Intelligent document processing across connected PACs, nonconnected committees, Super PACs, and Leadership PACs 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 donor name, employer, occupation, address, and contribution amount from checks, payroll deduction authorization forms, online payment receipts, and in-kind contribution records to populate Schedule A itemized receipt filings.
Capture vendor name, address, disbursement date, amount, and purpose from invoices, receipts, and payment records to support Schedule B itemized disbursement reporting and independent expenditure disclosures.
Compare extracted transaction data from bank statements and supporting documents against draft FEC disclosure reports to identify discrepancies before reports are submitted.
Agentic Document Extraction enables political action committees 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 →