Document Processing in Capital Markets
Capital markets firms process enormous volumes of documents every day — prospectuses, offering memoranda, trade confirmations, due diligence questionnaires, financial statements, credit agreements, pitch books, regulatory filings, the list goes on.
Slow or inaccurate document processing delays deal execution and strains compliance operations, exposing firms to costly errors and lost revenue.
LandingAI transforms documents into highly accurate, verifiable, structured data so teams can reliably automate document-intensive workflows.
Why Agentic Document Extraction for
Capital Markets
Deal Velocity at Scale
Extracting data from offering documents, credit agreements, and financial statements at high speed compresses the time between mandate and close, giving deal teams a measurable throughput advantage without adding headcount.
Audit-Ready Extraction by Default
Every extracted value is traceable to its exact location in the source document, giving compliance and operations teams a defensible record across trade confirmations, regulatory filings, and investor reports without any post-processing audit work.
Consistent Data Across Complex Formats
Capital markets documents span dense tables, multi-page schedules, handwritten annotations, and scanned exhibits — agentic extraction maintains high accuracy across this full range, so downstream systems receive clean, structured data regardless of source format.
Built for Complex Capital Markets Documents
Intelligent document processing across investment banking, broker-dealer operations, asset management, and private equity 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.
Use cases
New Issue & Deal Execution
Extract terms, financial data, and covenants from prospectuses, offering memoranda, credit agreements, and pitch books to accelerate deal analysis and documentation review across syndication and underwriting workflows.
Compress deal review cycles to close mandates faster and capture more revenue
Reduce analyst hours spent manually abstracting terms from lengthy deal documents
Surface discrepancies between deal terms and supporting documents before execution
Trade Operations & Reconciliation
Extract and reconcile trade data from confirmations, settlement instructions, margin call notices, and counterparty statements to keep post-trade workflows accurate and on schedule.
Increase straight-through processing rates, supporting higher trade volumes without added operations staff
Cut manual data entry costs across high-volume confirmation and reconciliation workflows
Maintain a complete, traceable record of all trade documentation for regulatory examination
Investor Onboarding & Due Diligence
Process investor subscription documents, due diligence questionnaires, fund governing documents, and entity verification packages to bring new investors on-book without manual bottlenecks.
Accelerate time-to-funded by reducing onboarding cycle time for new investors
Lower operational cost per investor account through automated document intake
Reduce compliance risk with consistent, complete extraction of required investor data
Trusted for Document-Heavy Capital Markets Workflows
Agentic Document Extraction enables capital markets 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.”
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 →
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 →