Legacy System Modernization built for Pharma & Biotech companies
What is Legacy System Modernization?
We modernize legacy systems without breaking the business processes that depend on them. For Pharma & Biotech companies, this means navigating FDA 21 CFR Part 11 (US), GxP compliance while shipping fast.
Who needs Legacy System Modernization for Pharma & Biotech?
- Clinical trial data management complexity
- Regulatory validation requirements for software systems
- Integrating lab equipment data into research platforms
- Legacy systems too fragile for anyone to touch
- Key knowledge locked in one retiring engineer's head
Best Legacy System Modernization company
Clinical and research software must satisfy validation requirements before it can satisfy users.
GarudLabs has spent years refining how we deliver Legacy System Modernization for Pharma & Biotech clients operating in .
Talk to our Pharma & Biotech Legacy System Modernization specialists this week
Book a free 30-minute discovery callThe Legacy System Modernization challenges unique to Pharma & Biotech in
- Clinical trial data management complexity
- Regulatory validation requirements for software systems
- Integrating lab equipment data into research platforms
- Drug supply chain traceability
- Collaboration tools for distributed research teams
How we de-risk Legacy System Modernization for Pharma & Biotech teams in
Legacy codebase audit and risk assessment
Incremental migration strategy (strangler pattern)
Database and data migration planning
Modern API layer over legacy core
Parallel-run testing and rollback planning
Core Technology Stack
Java.NETPHPNode.jsPostgreSQLDockerKubernetes
Timeline, investment & compliance
Typical timeline
12-24 weeks depending on system size
Typical investment
$40,000 - $250,000
Legacy System Modernization engagements in this combination typically need to account for:
- FDA 21 CFR Part 11 (US)
- GxP compliance
- EMA regulations (EU)
- HIPAA for clinical data
Proven Results
"We helped a biotech company cut clinical trial data entry time by 38% with a custom eCRF platform."
Read the full case studySee how GarudLabs can deliver Legacy System Modernization for your team
Get a free project cost estimateFrequently Asked Questions
Most Legacy System Modernization engagements take 12-24 weeks depending on system size, depending on scope and how clear the requirements are upfront. We'll give you a firm timeline estimate after a short discovery call, not a generic range.
Legacy System Modernization projects with us typically range from $40,000 - $250,000, scaled to the complexity of your requirements. We provide a detailed, itemized estimate before any work begins so there are no surprises mid-project.
For legacy system modernization, we typically work with Java, .NET, PHP, Node.js, chosen based on your specific scalability and integration requirements. We're not tied to a single stack and will recommend the right tools for your situation rather than our default.
A typical legacy system modernization engagement includes legacy codebase audit and risk assessment, along with the other deliverables outlined in our proposal, such as documentation and a post-launch support window. The exact scope is tailored to your project during discovery.
Most clients come to us for legacy system modernization because of legacy systems too fragile for anyone to touch, among other related challenges. We start every engagement by mapping your specific pain points before writing a single line of code.
We've delivered multiple pharma & biotech projects addressing challenges like clinical trial data management complexity. We helped a biotech company cut clinical trial data entry time by 38% with a custom eCRF platform.
For pharma & biotech clients, we pay close attention to FDA 21 CFR Part 11 (US), GxP compliance, building these requirements into the architecture from day one rather than retrofitting them later. We'll confirm which specific regulations apply to your business during discovery.
The most common challenges we solve for pharma & biotech clients include clinical trial data management complexity and regulatory validation requirements for software systems. We tailor our discovery process to surface the specific version of these problems your business faces.