Document Processing in Media
Media companies process vast volumes of documents every day — content licensing agreements, talent contracts, insertion orders, sync licenses, cue sheets, royalty statements, guild agreements, distribution deals, the list goes on.
Slow or inaccurate document processing delays content releases, creates rights exposure, and leaves revenue on the table.
LandingAI transforms documents into highly accurate, verifiable, structured data so teams can reliably automate document-intensive workflows.
Why Agentic Document Extraction for
Media
Rights Data Without the Rework
Licensing and rights agreements span dozens of fields — territories, windows, exclusivity terms, expiration dates — and extracting them accurately from varied contract formats is the foundation of any compliant content operation.
Scale Without Growing Headcount
Media deal volumes — across ad sales, content acquisition, and distribution — grow faster than operations teams can absorb manually, and agentic extraction lets those teams process more agreements without adding review capacity.
Auditable Records Across Every Deal
Every extracted value is grounded to its precise location in the source document, giving legal, finance, and compliance teams a traceable record that supports dispute resolution, royalty audits, and guild compliance reviews.
Built for Complex Media Documents
Intelligent document processing across broadcasting, streaming and digital media, publishing, and music and entertainment production 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
Rights & Licensing Management
Extract territory rights, exclusivity windows, term dates, and revenue share structures from content licensing agreements, distribution contracts, and sub-licensing arrangements.
Accelerate content launch timelines by eliminating manual contract review bottlenecks
Reduce headcount required to manage growing content libraries and deal volumes
Surface rights conflicts and expiration gaps before they create compliance exposure
Ad Sales Processing
Extract advertiser details, placement specifications, pricing, and flight dates from insertion orders, rate cards, and advertising contracts across linear, digital, and programmatic channels.
Shorten order-to-activation cycles and capture revenue faster
Eliminate manual data entry errors that generate billing disputes and credit adjustments
Create a consistent, auditable record linking each order to its contracted terms
Talent & Production Contracting
Extract compensation terms, residual obligations, credit requirements, and performance conditions from talent agreements, guild contracts, and production deal memos.
Reduce time-to-execution on production starts by automating contract data extraction
Cut the cost of manual obligation tracking across large talent rosters
Ensure residual and guild compliance obligations are captured completely and on time
Trusted for Document-Heavy Media Workflows
Agentic Document Extraction enables media 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.”
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 →