Document Processing in Pharmaceuticals
Pharmaceutical companies process enormous volumes of documents across every stage of a drug's lifecycle — batch manufacturing records, certificates of analysis, clinical study reports, regulatory submission dossiers, adverse event case reports, and supplier qualification packages.
Slow or inaccurate document processing delays product releases and regulatory approvals, creating compliance exposure that threatens revenue and market position.
LandingAI transforms documents into highly accurate, verifiable, structured data so teams can reliably automate document-intensive workflows.
Why Agentic Document Extraction for
Pharmaceuticals
Faster Regulatory Submission Cycles
Extracting and structuring data from clinical study reports, CMC dossiers, and supporting technical documents accurately on the first pass compresses submission timelines and reduces the back-and-forth with review teams that extends approval windows.
Audit-Ready Traceability by Default
Every extracted value is grounded to its precise location in the source document, giving quality and compliance teams a defensible, complete record across batch records, deviation reports, and regulatory filings without any additional annotation effort.
Scale Without Proportional Headcount
Pharmaceutical document volumes grow continuously across development programs, product lines, and markets — agentic extraction allows quality, regulatory, and pharmacovigilance teams to absorb that growth without proportional increases in manual review staff.
Built for Complex Pharmaceutical Documents
Intelligent document processing across branded drug development, generic manufacturing, specialty pharma, and over-the-counter 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
Regulatory Submissions
Extract and structure data from Common Technical Document modules, clinical study reports, investigator brochures, nonclinical study summaries, and CMC dossiers to assemble complete, accurate regulatory packages.
Accelerate submission readiness and reduce time from data lock to dossier completion
Cut manual authoring and compilation effort across regulatory affairs teams
Eliminate extraction errors that trigger agency queries and extend review timelines
Batch Record Review
Automate extraction of manufacturing parameters, in-process control results, and analytical test data from executed batch records, deviation reports, and laboratory notebooks to support batch release decisions.
Compress batch release cycles and bring product to market faster
Reduce QA reviewer time spent on manual data transcription and cross-referencing
Flag discrepancies between specification limits and recorded results before they become audit findings
Pharmacovigilance Case Processing
Extract patient, product, and adverse event data from individual case safety reports, medical literature, and spontaneous reports to support signal detection and aggregate safety reporting obligations.
Protect market authorization by meeting mandatory safety reporting deadlines consistently
Reduce case processing cost per ICSR through automated data extraction and coding
Improve signal detection accuracy by ensuring complete, consistently structured case data
Trusted for Document-Heavy Pharmaceutical Workflows
Agentic Document Extraction enables pharmaceutical 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 →