The life sciences industry stands at a critical inflection point.
While digital transformation initiatives over the past decade successfully digitized many processes, they left behind a complex legacy: petabytes of unstructured data scattered across systems without proper metadata or classification. This “digital debt” has become one of the industry’s most pressing challenges.
As AI agents enter the workforce at unprecedented scale, life sciences companies now have a unique opportunity to address these data challenges while accelerating innovation. At BoxWorks 2025, we unveiled AI and security innovations that directly tackle the unstructured content problem plaguing the industry. This content holds the key to breakthrough therapies, faster drug development, and ultimately, better patient outcomes.
41% of organizations using agentic AI for fully autonomous operations are seeing dramatic productivity gains. In life sciences, these gains translate directly to faster time-to-market for critical therapies and more efficient research processes. The scale of the challenge is staggering: 90% of organizational data is unstructured content (according to the IDC report)—research papers, lab notebooks, clinical trial protocols, and regulatory submissions.
Until now, extracting meaningful metadata required intensive manual intervention, making enterprise-scale solutions practically impossible. New AI capabilities announced at BoxWorks directly address these challenges, enabling life sciences organizations to finally tap into their content’s full potential while maintaining the security and compliance standards the industry demands.
Box Extract: Transforming digital debt into intelligence
Box Extract represents a breakthrough for life sciences organizations drowning in decades of unclassified documentation. This agentic data extraction solution can process thousands of clinical trial documents, research papers, and regulatory submissions with unprecedented accuracy and speed—finally making it economically viable to address the industry's digital debt.
For life sciences, Box Extract enables transformative use cases:
- Clinical trial data transformation: Automatically extract patient demographics, primary endpoints, adverse events, and efficacy outcomes from thousands of historical trial documents, enabling meta-analyses and real-world evidence generation that was previously impossible at scale
- Regulatory intelligence mining: Pull structured data from decades of FDA submissions and regulatory documents to identify approval pathways, safety signals, and competitive intelligence across therapeutic areas
- Research literature synthesis: Process and categorize vast libraries of scientific publications and internal research reports to identify novel drug targets and therapeutic opportunities buried in historical data
- Manufacturing record digitization: Extract critical quality parameters and batch information from paper-based manufacturing records to enable advanced analytics and compliance reporting
The solution uses semantic understanding and chain-of-thought reasoning to ensure the highest accuracy, which proves critical when dealing with patient data and regulatory requirements.
Box Automate
Box Automate brings AI-native workflow automation to life sciences processes that have traditionally required extensive manual coordination. From patient consent management across global clinical sites to multi-disciplinary research collaboration, Box Automate orchestrates work across teams, systems, and now even AI agents, leading to substantial time savings and productivity gains.
Box AI Studio
Box AI Studio empowers life sciences organizations to create purpose-built AI agents tailored to their specific workflows. Early adopters are already building agents that can answer complex research queries by synthesizing information from entire research libraries and comparing drug interaction data across multiple studies. These aren't generic AI tools — they're specialized agents trained on your organization's specific content, terminology, and processes, ensuring relevance and accuracy for life sciences applications.
Box Shield Pro
With Box Shield Pro, life sciences organizations gain AI-powered security capabilities essential for protecting patient data, proprietary research, and intellectual property. The new features include:
- AI Classification Agent: Automatically identify and classify sensitive patient data, research findings, and proprietary information
- Threat Analysis Agent: Rapidly respond to potential data breaches or unauthorized access attempts
- Ransomware detection: Protect critical research data from encryption attacks that could derail years of work
Life sciences companies using Box's Intelligent Content Management platform are already seeing transformative results.
The announcements at BoxWorks 2025 represent more than just new features; they're enabling the next generation of medical breakthroughs and precision medicine. By combining intelligent content management with purpose-built AI agents, life sciences organizations can finally unlock the value trapped in their unstructured content, accelerate research and development, and ultimately bring life-saving treatments to patients faster.
Check out Box for life sciences and see how Box can accelerate your research and development, while empowering you to maintain security and compliance.
