Oil and gas companies process millions of documents every day—oil and gas leases, division orders, royalty statements, drilling permits, well logs, completion reports, Joint Interest Billing statements, Authorities for Expenditure, run tickets, and production reports, the list goes on.
Extraction errors in lease and royalty documents expose operators to payment disputes, while permitting delays hold up drilling and defer revenue.
LandingAI transforms documents into highly accurate, verifiable, structured data so teams can reliably automate document-intensive workflows.
Every extracted field from lease agreements, division orders, and royalty statements is grounded to a precise location in the source document, giving land and accounting teams the audit trail that COPAS audits, joint interest billing disputes, and regulatory title reviews require.

Oil and gas documents span handwritten run tickets from field operations, dense legal lease instruments, structured Joint Interest Billing statements, and multi-page completion reports; agentic extraction handles all of them without document-specific configuration.

Compressing document processing cycle times in well permitting, land administration, and joint interest billing reduces the delays that hold up drilling operations, royalty payments, and state regulatory approvals.

Intelligent document processing across upstream exploration and production, midstream transportation and storage, land and royalty management, and oilfield services 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 interest decimals, lease terms, payment obligations, and mineral owner details from oil and gas leases, division orders, royalty statements, mineral deeds, and run tickets to support accurate royalty payments and lease compliance tracking across the well lifecycle.
Extract cost allocations, partner interest percentages, AFE budget line items, and field ticket charges from Joint Interest Billing statements, Authorities for Expenditure, field tickets, and oilfield vendor invoices to validate expenditures against approved budgets and allocate costs to working interest partners.
Extract well identification data, production volumes, completion parameters, and environmental compliance details from drilling permits, completion reports, well logs, and production reports to meet state oil and gas commission filing requirements.
Agentic Document Extraction enables oil and gas companies 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 →