Professional services firms process enormous volumes of documents every day — engagement letters, audit workpapers, due diligence binders, financial statements, tax returns, client onboarding packages, statements of work, inspection reports, and workforce compliance records.
Slow document turnaround extends engagement timelines and erodes client confidence.
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 firms a defensible, traceable record that satisfies internal quality review and external audit documentation standards.

Automating document review and data extraction across engagements lets firms absorb higher client volumes and faster turnaround expectations without a corresponding increase in staff hours.

Compressing the time between document receipt and structured, usable data accelerates the analysis phase of any engagement, shortening the path from kickoff to client-ready findings.

Intelligent document processing across management consulting, audit and assurance, engineering consulting, and HR outsourcing 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 and reconcile financial data from client-supplied trial balances, general ledgers, bank statements, accounts receivable aging schedules, and supporting schedules to populate audit workpapers and complete substantive testing procedures.
Analyze financial statements, capitalization tables, material contracts, disclosure schedules, and corporate filings to extract the data points required to assess risk and support transaction advisory recommendations.
Automate intake of new client and new hire documentation — including identity documents, tax forms, benefit enrollment forms, signed engagement letters, conflict-of-interest disclosures, and service agreements — to populate systems of record and initiate downstream workflows.
Agentic Document Extraction enables professional services firms 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 →