Datavant, a global leader in secure healthcare data collaboration serving payers, providers, life sciences firms, legal entities, and insurers, has announced its agreement to acquire DigitalOwl, an InsurTech company specializing in AI-driven analysis of unstructured medical records. The Datavant DigitalOwl acquisition aims to revolutionize how legal and insurance professionals access, interpret, and act on complex health data—addressing long-standing inefficiencies in medical record review that have historically slowed case resolutions and claim approvals.
Medical data review remains one of the most time-consuming and error-prone processes in both litigation and insurance underwriting. Manual extraction of relevant information from voluminous patient records often leads to delays, inconsistencies, and high operational costs. By combining Datavant’s extensive network for compliant health data exchange with DigitalOwl’s advanced artificial intelligence platform, the merged offering will deliver faster, more accurate, and context-aware insights across fragmented datasets.
Datavant currently facilitates the secure exchange of over 60 million healthcare records annually across thousands of organizations, including more than 80,000 hospitals and clinics, 75% of the largest U.S. health systems, and over 350 real-world data partners. Its technology focuses on connecting siloed sources of health information and enabling authorized users to retrieve and use data in ways that comply with privacy regulations such as HIPAA and GDPR.
DigitalOwl complements this infrastructure with proprietary AI capable of classifying, annotating, and summarizing unstructured clinical text—from physician notes to discharge summaries—into structured, actionable outputs. Backed by a team of data scientists and domain experts, its natural language processing system continuously improves through real-world feedback loops. Earlier in 2025, the platform was named Natural Language Generation Platform of the Year for medical record reviews—a recognition of its growing influence in automating traditionally manual workflows.
Under the new integration, Datavant will combine DigitalOwl’s AI capabilities with Ontellus’ existing strengths in health records retrieval and claims intelligence. The result will be a secure, end-to-end solution encompassing managed record retrieval, automated summarization, chronological organization, de-duplication, and AI-powered predictive analytics. This unified platform is designed to streamline how legal teams prepare cases and insurers assess risk, process claims, and support policyholders.
Kyle Armbrester, CEO of Datavant, said the acquisition responds to rising demand for simplified, intelligent access to medical data. “Our legal and insurance customers are looking to consolidate and simplify the process of finding, accessing, and analyzing specific medical information across vast volumes of structured and unstructured data,” he said. “DigitalOwl’s technology was built specifically for these use cases. Combined with Ontellus’ capabilities and our nationwide provider network, we’re poised to transform a market that has been ripe for innovation.”
Yuval Man, CEO of DigitalOwl, emphasized that joining Datavant accelerates the company’s mission to eliminate manual bottlenecks in healthcare data interpretation. “Manually reviewing medical records for underwriting, claims, or litigation is costly and inefficient,” he said. “We’ve focused exclusively on applying cutting-edge AI to automate these processes and solve real workflow pain points. Now, with Datavant’s scale and compliance framework, we can deliver even greater value to our partners and expand our impact across the ecosystem.”
As demand grows for faster, more accurate decision-making in healthcare-linked industries, the Datavant DigitalOwl acquisition signals a strategic shift toward intelligent, integrated data platforms. By reducing friction in data access and enhancing analytical depth, the combined entity aims to improve outcomes—not only for institutions but also for patients and claimants awaiting timely resolution.
This move underscores a broader trend: the convergence of health data infrastructure and artificial intelligence to power next-generation services in insurance, legal tech, and beyond. With regulatory compliance embedded at every layer, the platform sets a new benchmark for responsible, scalable innovation in sensitive data environments.
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