Sphere × Anthropic Claude
Claude-Powered Legacy Modernization
Your most critical systems are also your most untouchable ones. Too complex to rewrite, too risky to leave as-is, too valuable to abandon. Claude Code reads them like no tool has before. Sphere rebuilds them without losing what made them valuable.
As-is specs before rebuild starts
Specs and delivery move in parallel
Automated validation before cutover
Why use Claude for Legacy Modernization
Legacy modernization breaks when teams rebuild from partial understanding. The hard part is finding the workflows, rules, dependencies, and compliance behavior buried across the system before they surface as production defects.
Claude is useful in legacy modernization because it helps turn the current application into something a team can modernize from: clearer system understanding, faster reverse engineering, earlier documentation, and stronger specifications before implementation begins. That is where AI changes the shape of the project.
Analyzes large codebases as one connected system
Surfaces hidden workflows and edge-case logic
Pulls business rules into usable specifications
Speeds up reverse engineering and documentation
Creates a stronger base for phased delivery
Ask for your free assessment.
Start NowWhat you get with AI-powered Modernization
AI-powered modernization gives the team something standard modernization often struggles to create early: a usable specification of what the legacy system actually does. From there, modernization moves through a cleaner path from reverse engineering to forward engineering to validation. Sphere takes that understanding and runs a structured, spec-driven delivery program.
Current-state understanding and modernization specifications are created together, so discovery produces assets the delivery team can use immediately.
Reverse engineering, forward engineering, and testing run as one connected workflow instead of separate handoff-heavy phases.
Claude can work with large amounts of code and codebase context, which makes it useful for legacy systems spread across many files and components.
The project starts from what the system does, not from assumptions about how it should be rebuilt. That reduces guesswork at the point where modernization risk is highest.
Validation starts earlier because the modernized system is built against extracted behavior and generated specifications, not only late-stage manual interpretation.
What We Do
Sphere covers the full modernization path. The work starts with understanding what the system actually does today and moves into a structured delivery process that gives your team a clear target state, cleaner implementation flow, and lower transition risk.
Product Extraction & Functional Documentation
Claude agents map the full system as a product before any architectural decisions are made. Every module, every dependency, every workflow that exists only in the code – documented before the rebuild starts.
- Module-by-module functional documentation
- Business logic and dependency mapping
- Undocumented workflow discovery
- Integration inventory and risk surface
- Institutional knowledge captured before key staff move on
Architecture & Stack Advisory
Sphere defines the target state and configures the delivery environment to match. In a Claude-native workflow, the architecture doesn’t just specify what to build – it determines which specialist agents and tools are live before the first sprint.
- Target architecture design
- Stack selection guidance
- Cloud model (AWS, Azure, GCP)
- Delivery environment and agent configuration
- Technical risk prioritization by module
Agentic Spec-Driven Implementation
Claude Code drives implementation feature by feature through a repeatable loop. Sphere engineers review output, handle edge cases, and write the next spec while implementation runs in parallel.
- Spec-driven feature delivery
- Multi-agent orchestration
- Human review at every gate
- Parallel spec and build progress
- Refactoring and debt remediation
Compliance & Regulatory Pattern Preservation
Legacy systems embed decades of regulatory logic that often exists nowhere but in the code. Sphere identifies, validates, and rebuilds those patterns as verified behavior – not copied lines.
- Regulatory compliance pattern transfer
- Security vulnerability remediation
- Audit trail and reporting integrity
- GDPR, HIPAA, SOC 2 alignment
- Exception-handling logic validation
Testing & Equivalence Validation
Every critical path in the old system is tested against the new one. The rebuilt product proves it behaves identically where it must and demonstrably better where it should.
- Automated equivalence test suite generation
- Regression testing across all workflows
- API and UI validation (Playwright + curl)
- QA agent integration throughout delivery
- Missing coverage identification
Production Support & Ongoing Evolution
The rebuilt system stays modern. Feature additions, performance work, and subsequent modernization phases all run through the same spec-driven loop – so the new codebase doesn’t become the next legacy problem.
- Post-launch bug resolution
- Performance monitoring and tuning
- Feature additions on retainer
- Documentation maintenance
- Next-phase modernization planning
How Legacy Modernization Runs
Free Assessment
Sphere reviews your system: codebase size, language stack, integration surface, regulatory requirements. You leave with a realistic scope, a phased roadmap, and an honest picture of what the engagement involves.
Product Extraction Sprint
Claude agents document the full system as a product. Functional requirements for the target state written and validated with your team. Architecture defined. Delivery environment configured. Nothing moves to implementation until what must survive is confirmed in writing.
Phased Implementation
Feature by feature through the spec-driven loop. First phase typically live in 6–12 weeks. The legacy system keeps running throughout. You see working software before the full program is committed.
Go-Live & Handover
Equivalence validation. Production deployment. Full documentation package. Test coverage the original never had.
Ongoing Support
Monthly sprint cycles for feature additions, performance work, and next-phase modernization – through the same loop, with the same team.
Upgrade Legacy Systems with Claude
Use Claude to speed up code analysis, documentation recovery, refactoring, and migration planning across complex legacy environments.
Industries We Serve
Financial Services & Banking
Banks spend 70–75% of IT budgets on legacy maintenance. Core banking, mainframe batch processing, loan origination, regulatory reporting. Sphere preserves the compliance patterns and audit integrity that regulated institutions cannot compromise.
Financial Services practice
Insurance
Policy administration, claims processing engines, pricing models built on rule sets no one has fully documented. The average audit reveals 3–4x the cost that appears on the surface.
Insurance practice
Healthcare
EHR integrations, legacy patient data workflows, clinical systems with compliance requirements that compound every year. HIPAA-aligned delivery from the first sprint.
Healthcare practice
Private Equity Portfolio Companies
Post-acquisition technical assessment reveals the legacy burden on the balance sheet. Sphere runs modernization as a value creation workstream – with defined timelines, defined ROI benchmarks, and the delivery velocity that PE timelines demand.
Private Equity practice
Manufacturing & Supply Chain
ERP integrations, production scheduling systems, legacy inventory logic modernized to current APIs – without disrupting floor operations while the transition runs.
Manufacturing practiceHear From Our Clients
“Our experience with Sphere and their team has been and continues to be fantastic. We keep throwing new projects at them, and they keep knocking them out of the park (including the rescue of a project that was previously bungled by another vendor).”
Selah Ben-Haim
VP of Engineering at Prominence Advisors
“I would expect to be delighted. It’s been a really positive experience, working with Sphere, and I would expect you to have the same.”
Ben Crawford
Senior Product Manager at Enova Financial
“Sphere consistently prioritizes the needs of their clients, demonstrating both agility and teamwork. They bring innovative and well-considered solutions, consistently surpassing my expectations.”
Mark Friedgan
CEO at CreditNinja
“Sphere provided excellent full-stack development manpower to augment our team and work with us.”
René Pfitzner
Co-Founder at Experify
“We've been working with Sphere and its excellent consultants since our founding. Their combination of offshore talent, pricing, and shift offsetting is hard to beat. They provide crucial augmentation to our in-house team.”
Bruce Burdick
Chief Information Officer at Integra Credit
“The resources and developers that Sphere Software provides are skilled and have the required technical expertise to complete their tasks successfully, with the team easily scaled in either direction.”
Jemal Swoboda
CEO at Dabble
Sphere in Numbers
We understand that actions speak louder than words and numbers but here are some key facts about us.
Speak to the ExpertsFrequently Asked Questions
AI-powered legacy modernization uses large language models like Claude to analyze, document, and rebuild outdated software systems. Instead of relying on engineers to manually read through years of accumulated code, Claude processes the entire codebase as one connected system and extracts what it actually does. This produces functional specifications, dependency maps, and documented business logic before a single line of new code is written – giving modernization teams a verified foundation to build from rather than a set of assumptions.