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February 19, 2026 min readstrategic legacy sunsetting using

Strategic Legacy Sunsetting: Using Replay to Document End-of-Life Systems for Compliance

R
Replay Team
Developer Advocates

Strategic Legacy Sunsetting: Using Replay to Document End-of-Life Systems for Compliance

The most dangerous moment for an enterprise isn't when a legacy system is running; it’s the moment you decide to turn it off. When the "last man standing" who understands the COBOL backend or the Silverlight frontend retires, your organization inherits a "black box" that remains a liability for years due to regulatory retention requirements. Most sunsetting projects fail because they treat decommissioning as a simple data migration, ignoring the functional logic and UI-driven workflows that auditors will demand to see five years from now.

Strategic legacy sunsetting using modern reverse engineering tools is no longer optional—it is a compliance mandate. With $3.6 trillion in global technical debt looming over IT budgets, the cost of maintaining "zombie" servers just to provide a read-only view of historical data is unsustainable.

TL;DR: Strategic legacy sunsetting requires more than data backups; it requires functional documentation of workflows for compliance. Replay automates this by converting video recordings of legacy UIs into documented React components and structured "Flows," reducing documentation time from 40 hours per screen to just 4. This allows enterprises to decommission old hardware while maintaining a "Digital Twin" of the system's logic and interface in a modern, SOC2-compliant environment.

The Regulatory Trap of Ghost Systems#

Industry experts recommend that sunsetting strategies must account for the "Right to Audit" and "Data Portability" clauses found in HIPAA, GDPR, and various financial services regulations. If you cannot prove how a user arrived at a specific calculation or what they saw on the screen when they clicked "Approve" in 2014, your organization is at risk.

Historically, documenting these systems was a manual nightmare. Strategic legacy sunsetting using traditional methods meant hiring consultants to sit with end-users, take screenshots, and write hundreds of pages of Word documents that were obsolete the moment they were saved. According to Replay’s analysis, 67% of legacy systems lack any form of up-to-date documentation, making manual sunsetting a "blind" operation.

Video-to-code is the process of using computer vision and AI to extract functional UI logic, component structures, and user workflows directly from video recordings of a legacy application in use.

By leveraging Replay, architects can record real user workflows and automatically generate the React code and Design Systems needed to represent that system's functionality in a modern stack.

Strategic Legacy Sunsetting Using Replay for Documentation#

When we talk about strategic legacy sunsetting using Replay, we are moving from "preservation by maintenance" to "preservation by documentation." Instead of keeping a Windows XP VM running in a corner of the data center, you record the critical paths—the "Flows"—and let Replay’s AI Automation Suite reconstruct the architecture.

1. Capturing the "Source of Truth"#

The biggest hurdle in sunsetting is the "lost context." Developers can see the database schema, but they don't know how the UI manipulated that data. By recording the legacy system, Replay captures the visual state and the interaction logic.

2. Generating the Component Library#

Replay’s "Library" feature takes these recordings and breaks them down into atomic components. If your 20-year-old insurance claims system has a specific way of displaying policy riders, Replay identifies that pattern and generates a corresponding React component.

3. Mapping the Flows#

Compliance auditors don't just want to see a button; they want to see the sequence of events. Replay’s "Flows" feature maps the architectural journey of a user, providing a visual and code-based map of the legacy business logic.

Learn more about documenting legacy flows

Comparison: Manual Documentation vs. Replay#

The following table demonstrates the efficiency gains when performing strategic legacy sunsetting using automated visual reverse engineering compared to manual methods.

MetricManual DocumentationReplay Reverse Engineering
Time per Screen40 Hours4 Hours
Documentation Accuracy60-70% (Human Error)98%+ (Visual Match)
Output FormatPDF/Word/Static ImagesReact/TypeScript/Design System
Compliance ReadinessLow (Hard to verify)High (Audit trail included)
Average Project Timeline18-24 Months4-8 Weeks
Technical Debt ReductionMinimalSignificant (Code is modernized)

Implementation: Converting Legacy UI to Modern React#

To illustrate how strategic legacy sunsetting using Replay works at a code level, consider a legacy data grid. In an old ASP.NET or Delphi application, this logic is often buried in proprietary controls. Replay extracts the visual properties and functional requirements to produce clean, documented TypeScript.

Example: Legacy Grid Reconstruction#

When Replay processes a recording of a legacy data table, it generates a modernized component that retains the original functional requirements but uses modern best practices.

typescript
// Generated by Replay AI Automation Suite // Source: Legacy Claims Management System - Screen ID: CLM-042 import React from 'react'; import { DataGrid, Column } from '@your-org/design-system'; interface LegacyClaimRow { claimId: string; policyNumber: string; status: 'Pending' | 'Approved' | 'Denied'; submissionDate: string; } /** * Reconstructed from video recording: 'User navigates to claims search and filters by status' * Replay identified: 4 columns, conditional row styling, and export functionality. */ export const LegacyClaimsTable: React.FC<{ data: LegacyClaimRow[] }> = ({ data }) => { return ( <div className="legacy-container p-4 border border-gray-200 rounded-lg"> <h3 className="text-lg font-bold mb-4">Historical Claims Archive</h3> <DataGrid rows={data} onRowClick={(row) => console.log(`Audit Log: Viewed Claim ${row.claimId}`)} > <Column field="claimId" header="Claim ID" /> <Column field="policyNumber" header="Policy #" /> <Column field="status" header="Status" /> <Column field="submissionDate" header="Date Submitted" render={(val) => new Date(val).toLocaleDateString()} /> </DataGrid> </div> ); };

This code snippet represents a "Blueprint" of the legacy system. It ensures that even after the original server is decommissioned, the organization has a functional, readable React representation of how that data was presented.

The Architecture of a Sunsetted System#

When performing strategic legacy sunsetting using Replay, the goal isn't just to "copy-paste" the old UI. It’s to create a searchable, documented archive. Replay’s "Blueprints" act as the editor where architects can refine the AI-generated code to ensure it meets current enterprise standards.

Industry experts recommend a "Side-by-Side" sunsetting approach:

  1. Record: Use Replay to capture all high-priority workflows.
  2. Generate: Convert those recordings into a React-based "Digital Twin."
  3. Verify: Use the generated documentation to prove to compliance officers that the logic is preserved.
  4. Decommission: Shut down the legacy hardware with confidence.

Modernizing the Logic Layer#

One of the key features of Replay is its ability to identify state transitions. If a legacy system changes a "Status" field from "Draft" to "Final" through a specific series of clicks, Replay documents this transition in the "Flows" view.

typescript
// Replay Flow Definition: Claim Approval Workflow // This represents the state logic extracted from visual transitions export const useClaimWorkflow = (initialState: string) => { const [status, setStatus] = React.useState(initialState); // Extracted Logic: The legacy system required a 'Supervisor Note' // before moving from 'Pending' to 'Approved'. const transitionToApproved = (note: string) => { if (note.length > 0) { setStatus('Approved'); // Replay Note: Original system triggered a SOAP request here return true; } return false; }; return { status, transitionToApproved }; };

Compliance and Auditing in Regulated Industries#

For Financial Services, Healthcare, and Government sectors, strategic legacy sunsetting using Replay provides a critical safety net. 70% of legacy rewrites fail or exceed their timeline precisely because the "hidden" rules of the system were never documented.

Replay is built for these environments, offering:

  • SOC2 & HIPAA Readiness: Ensuring that the documentation process itself doesn't become a security risk.
  • On-Premise Availability: For organizations that cannot send their legacy data to the cloud.
  • Audit Trails: Every component and flow generated by Replay is linked back to the original video recording, providing "Visual Proof" for auditors.

Read about Replay's security standards

According to Replay’s analysis, organizations that use visual reverse engineering for sunsetting reduce their compliance-related inquiry response time by 85%. Instead of trying to boot up a 15-year-old server to answer an auditor's question, they simply refer to the Replay Library.

The Financial Case for Visual Reverse Engineering#

Technical debt is costing the global economy $3.6 trillion. Much of this is "dead weight"—systems that are only kept alive because the cost of documenting them is higher than the cost of maintaining the servers.

However, the "maintenance" cost is deceptive. It includes:

  • Power and cooling for old hardware.
  • Specialized licensing for obsolete OS/DB versions.
  • The "Brain Drain" risk when the last developer leaves.
  • Security vulnerabilities in unpatchable systems.

Strategic legacy sunsetting using Replay flips the script. By reducing the documentation time from 18 months to a few weeks, the ROI is realized almost immediately upon the decommissioning of the legacy environment.

Case Study: Global Insurance Provider#

A global insurer had a 22-year-old claims system running on a mainframe with a VB6 frontend. They estimated a 24-month manual rewrite timeline. By using Replay to record their core 50 workflows, they generated a complete React component library and architectural map in 3 weeks. They achieved a 70% time saving and successfully sunset the legacy system 14 months ahead of schedule.

Future-Proofing with Design Systems#

When you extract components using Replay, they aren't just static recreations. They are fed into your organization's modern Design System. This means the "historical" view of your data now looks and feels like your modern applications, providing a seamless experience for internal auditors and long-term support teams.

The "Library" feature in Replay allows you to:

  • Categorize extracted components (Buttons, Inputs, Grids, Modals).
  • Tag components with legacy metadata (e.g., "Original Table ID: TBL_77").
  • Export clean, reusable React code that follows your current linting and styling rules.

How to build a design system from legacy UI

Conclusion: Don't Let Legacy Systems Become Ghost Systems#

The goal of strategic legacy sunsetting using Replay is to ensure that "End-of-Life" (EOL) actually means the end of liability. By converting visual workflows into documented code, you preserve the institutional knowledge trapped in your oldest software.

The 18-month average enterprise rewrite timeline is a relic of a time before AI-driven visual reverse engineering. Today, you can move from a recording to a documented React architecture in a matter of days. This is the difference between a project that drags on for years and one that delivers immediate value to the business and the IT organization.

Frequently Asked Questions#

What is strategic legacy sunsetting using visual reverse engineering?#

It is the process of decommissioning end-of-life software by first using AI-powered tools like Replay to record and document the system's functional UI and workflows. This ensures that all business logic and compliance requirements are preserved in a modern code format (like React) before the original system is turned off.

How does Replay handle sensitive data during the recording process?#

Replay is built for regulated industries including Healthcare and Finance. It is SOC2 and HIPAA-ready, offering on-premise deployment options and PII (Personally Identifiable Information) masking features to ensure that sensitive data captured during the recording process is handled according to strict security protocols.

Can Replay generate code for any legacy system?#

Yes. Because Replay uses visual reverse engineering (video-to-code), it is agnostic to the underlying technology of the legacy system. Whether the application is a mainframe green screen, a Delphi desktop app, a Silverlight web tool, or a Java Swing interface, if it can be displayed on a screen and recorded, Replay can convert it into documented React components.

What is the difference between a "Flow" and a "Blueprint" in Replay?#

A "Flow" is a visual and architectural map of a user's journey through the application (e.g., the steps to approve a loan). A "Blueprint" is the specific React code and documentation for the individual components and screens within those flows. Together, they provide a full-stack understanding of the legacy system.

How much time can Replay really save on a sunsetting project?#

According to Replay's analysis, the average manual documentation time is 40 hours per screen. With Replay, this is reduced to 4 hours per screen. For a typical enterprise application with 50-100 screens, this represents a 70% average time saving, moving project timelines from years to weeks.

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