A Custom Acrobat tool for Masuu Global that automates submission-critical linking for compliant, navigable pharma dossiers.

Client
Impact Areas
Services / Our Work

The Story

In the high-stakes world of Life Sciences and Pharmaceutical Regulatory Affairs, navigation is as critical as the clinical data itself. For Masuu Global, a premier global regulatory services provider, the manual task of hyperlinking Table of Contents (ToC), indices, and cross-references for health authority submissions (such as FDA or EMA) was a massive operational drain. 

Clavis Tech developed a high-performance Adobe Acrobat Plugin that automates the “Connective Tissue” of these complex documents. By using intelligent pattern matching to identify and link references instantly, we’ve turned static, multi-thousand-page PDFs into dynamic, submission-ready digital experiences that meet the most rigorous global standards.

The Challenge

Masuu Global’s regulatory teams were trapped in a manual “Click-and-Link” cycle. Every New Drug Application (NDA) or Abbreviated New Drug Application (ANDA) requires thousands of manual hyperlinks to ensure usability for agency reviewers. This wasn’t just slow; it was a significant compliance risk. A single broken link or an incorrect reference in a regulatory filing could lead to a Refusal to File (RTF) or significant delays in drug approval.

The primary roadblock was the complexity of medical and regulatory data. References to clinical study reports, tables, figures, and appendices aren’t always uniform. The plugin needed to recognize diverse citation styles, non-sequential page numbers, and external eCTD leaf references without human intervention. Masuu needed a way to ensure their dossiers remained professionally navigable without spending hundreds of man-hours on every individual module.

The Solution

Clavis Tech engineered a custom Acrobat Regulatory Navigation Plugin designed for high-volume submission processing. Our roadmap focused on “Automated Discovery”—building an engine that could scan a document, understand its pharmaceutical structure, and apply links based on contextual regulatory logic.

We implemented Regex-based Pattern Matching specifically tuned for pharma citations (e.g., “See Section 2.7.3” or “Refer to Appendix 16.2”). The plugin allows Masuu’s experts to define “Linking Rules,” enabling the software to handle diverse document types—from Quality Overall Summaries to Clinical Overviews—with surgical precision. This solution moved the linking process from the end-of-cycle bottleneck to a background task that happens in minutes.

Solution Delivered

Automated ToC & eCTD Linking: Developed a module that instantly maps Table of Contents entries to their corresponding pages and headers within the submission file.

Intelligent Regulatory Cross-Reference Detection: Engineered a pattern-matching engine to identify and link internal references such as “Refer to Table 5” or “See Figure 1.2” automatically.

Bulk External Leaf Linking: Enabled the automated identification and hyperlinking of references across different PDF modules within a submission sequence.

Index-to-Clinical Data Mapping: Built a specialized tool to link complex back-of-the-book indices directly to relevant clinical text occurrences.

Custom Regulatory Presets: Provided a user-friendly interface for Masuu staff to define specific patterns that trigger an automatic link based on the target health authority’s requirements.

Submission Health Check: Integrated a validation feature that scans for broken links, circular references, or incorrect magnification settings before final archival.

Regex-based Pattern Matching tuned for pharma citations

The Result

The implementation has redefined Masuu Global’s document quality standards. By automating the navigational layer, they have achieved a level of dossier sophistication that was previously too resource-intensive to produce manually.

Massive Time Recovery:

The time required for document hyperlinking and indexing was reduced by 85%, allowing for much faster submission of time-critical regulatory filings

Flawless Navigational Accuracy:

By removing the human element, Masuu achieved 100% link accuracy, virtually eliminating agency feedback regarding broken navigation

Enhanced Submission Readiness:

Every document now features a consistent, high standard of interactivity, enhancing Masuu’s reputation for excellence in the global regulatory space

Scalable Operations:

The automation of high-volume manual tasks allowed the department to handle a 50% increase in submission volume without adding headcount.

Impact by the numbers

From the moment a researcher uploads a project to its final publication and indexing, the system manages the metadata and version control autonomously, ensuring 100% data integrity.

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Time Reduction
Average time saved per regulatory dossier compared to manual link insertion.

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Links per Submission
Scale of automated link creation handled by the plugin engine in a single pass.

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Broken Link Reports
Reported instances of navigational errors or circular references post-deployment

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Processing Speed
Time taken for the AI to "read" and link a 1,000-page clinical report.

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Pattern Recognition
Accuracy in identifying diverse regulatory and medical citation formats.

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QA Cycle Reduction
Decrease in time spent by senior reviewers checking navigational integrity.

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