AI-driven legacy
modernization

For faster, safer policy delivery

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From policy to performance

Digital public infrastructure (DPI) is the backbone of modern society, enabling interoperability, secure data exchange and digital identity at scale. But technology alone does not build trust. Success depends on governance, regulation and design choices that respect sovereignty and strengthen resilience. In the age of AI, transparency and accountability must be embedded into DPI to ensure that intelligent digital systems operate in ways society can understand and verify.

Nortal brings decades of experience designing and implementing DPI for digital nations across Europe, the Gulf and North America. Our solutions power some of the world's most advanced digital economies, from policy and regulation to full-scale implementation.

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AI-driven development has made legacy transformation at scale feasible for the first time, significantly reducing cost and risk when done right. For governments, legacy systems are a constraint on delivery. Aging architectures fragment services, slow regulatory implementation and make even small reforms costly, slow and risky. As policy demands increase, these systems limit the state’s ability to respond. AI changes this by making modernization evidence-based, extracting how systems actually work and turning that into a clear path forward. The result is faster, more predictable modernization and stronger delivery capacity across government.

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AI-driven legacy modernization

AI-based legacy system transformation

Transforming existing systems to modern platforms requires a structured understanding of legacy codebases. AI agents analyze systems at scale, producing migration-ready specifications directly from code. This creates a reliable basis for migration planning and reduces reliance on manual analysis. Legacy code is then refactored into modern architectures using automated and AI-assisted methods, with implementation, testing and validation using the same model. Particular focus is placed on data sovereignty and integrity during migration. Delivery follows a phased governance model, where legacy and AI-first systems coexist, enabling incremental transition without disrupting critical services.

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Core capabilities for modernizing government legacy systems

AI-based legacy code analysis and system mapping

Business rule and data structure extraction

Specification-driven modernization

Automated refactoring of legacy codebases

Data sovereignty and migration integrity

Phased governance and system coexistence

AI-driven legacy modernization

Government cloud adoption

Cloud adoption in government changes how services are built and operated. The transition is constrained by data sovereignty, regulatory compliance and requirements for uninterrupted service delivery. Cloud environments must therefore be designed to align with national infrastructure, data sovereignty requirements, applicable regulatory frameworks and established governance models. This enables modernization of legacy systems and development of new services in the cloud, while maintaining control over data, operations and risk.

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Core capabilities for government cloud adoption

Sovereign cloud strategy and architecture design

Cloud migration and application modernization

Security, compliance and governance frameworks

Cloud operations and managed services

Cost management and FinOps practices

Automation and DevSecOps integration

A continuously modernized national tax administration

For over 15 years, Nortal has supported the Estonian Tax and Customs Board in its transition from legacy-heavy systems to a continuously modernized, digital-first tax administration. The Board has improved operational efficiency, strengthened digital sovereignty and developed one of the most effective tax administration systems globally. The IT landscape remains in continuous evolution, with individual components modernized incrementally while maintaining uninterrupted service for taxpayers and government.

Republic of Estonia Tax and Customs Board

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Digitizing childcare administration in Berlin

SBJ is Berlin’s central digital platform for determining eligibility, calculating parental contributions and financing childcare and after-school services. We designed and implemented the platform and continue to evolve its architecture into a secure, service-oriented ecosystem integrated with core state systems and operated within the ITDZ Berlin environment. Supporting the administration and billing of more than 220,000 childcare placements annually, the system enables automated calculations, transparent decision-making and cross-agency data exchange. Continuous modernization and structured governance ensure the platform remains resilient, compliant and scalable as policy requirements evolve.

Re-architecting a public sector platform for cloud delivery

Nortal is partnering with Accela in modernizing its core platform by transitioning from VM-based hosting to a cloud-native architecture on Azure Kubernetes Service. The program includes containerization of mission-critical workloads, implementation of automated DevSecOps practices aligned with GovRAMP standards, and modular refactoring supported by CI/CD and GitOps. This reduces technical debt, improves system resilience and enables more efficient delivery across citizen- and agency-facing services.
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Nordic and Baltic leadership in secure digital identity and signatures

The Nordic and Baltic regions set the global standard for secure digital identity and electronic signatures. In Estonia, a trusted ecosystem built on two-factor authentication and digital signing has become a model for governments worldwide. For more than two decades, we have helped design and expand this ecosystem, from chip-based ID cards and Mobile-ID to the Smart-ID application. Our experience covers the full lifecycle of digital identity, from infrastructure and trust services to authentication and policy development.

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Moving healthcare to the cloud

Nortal supported a Finnish healthcare organization in transitioning critical health information systems to a secure cloud-based architecture, ensuring compliance with national regulations and data protection requirements. Legacy infrastructure was modernized and integrations redesigned to support a scalable cloud environment, improving system resilience and enabling secure data exchange across care providers. The result is a stable digital foundation supporting continuous service development, analytics and uninterrupted patient care.

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AI-driven legacy
modernization

From policy to performance

Government cannot

outperform its systems

Trusted partners and proven solutions

AI-based legacy system transformation

Core capabilities for modernizing government legacy systems

AI-based legacy code analysis and system mapping