The average legal tech rewrite doesn't just miss its deadline—it dies in committee. In an industry where 70% of legacy rewrites fail or exceed their timelines, the "Big Bang" approach to modernizing legal tech is a proven liability. Most enterprise legal suites are currently trapped in a $3.6 trillion global technical debt bubble, running on 20-year-old on-premise architectures that no one currently on the payroll fully understands.
TL;DR: Modernizing legal tech requires moving away from manual code archaeology toward Visual Reverse Engineering, reducing modernization timelines from 18 months to a matter of weeks by using video as the source of truth.
The Legal Tech Deadlock: Why Modernization Stalls#
Legal technology—ranging from Case Management Systems (CMS) to Document Management Suites—is notoriously difficult to modernize. These systems are often "black boxes" where the original developers have long since departed, leaving behind a codebase that 67% of the time lacks any functional documentation.
When a VP of Engineering or CTO decides to move an on-premise legal suite to a modern SaaS UI, they typically face three choices:
- •The Big Bang Rewrite: Scrapping everything and starting over.
- •The Strangler Fig: Gradually replacing components over years.
- •Visual Reverse Engineering: Using Replay to extract the "as-is" state directly from user workflows.
The Cost of Manual Archaeology#
Manual modernization is a resource sink. In a standard legal enterprise environment, it takes an average of 40 hours per screen to manually audit, document, and recreate a legacy interface in React. With hundreds of screens—many containing complex, nested business logic for filing, discovery, and compliance—the math simply doesn't work for a standard 18-month roadmap.
| Approach | Timeline | Risk | Cost | Documentation |
|---|---|---|---|---|
| Big Bang Rewrite | 18-24 months | High (70% fail) | $$$$ | Manual/Incomplete |
| Strangler Fig | 12-18 months | Medium | $$$ | Partial |
| Replay (Visual) | 2-8 weeks | Low | $ | Automated & Precise |
From Black Box to React: The Replay Methodology#
The future of modernizing legal tech isn't rewriting from scratch; it’s understanding what you already have. Replay changes the paradigm by using video recording as the primary source of truth for reverse engineering. Instead of digging through thousands of lines of legacy COBOL, Java, or .NET, you record a real user performing a workflow—like generating a subpoena or managing a trust account—and Replay extracts the underlying architecture.
Step 1: Workflow Capture and Flow Mapping#
The process begins by recording subject matter experts (SMEs) as they navigate the legacy on-premise application. Replay’s Flows feature maps these interactions into a visual architecture. This eliminates the "documentation gap" by showing exactly how data moves between screens, even if the backend code is a mess of spaghetti logic.
Step 2: Component Extraction and Library Building#
Once the workflows are captured, Replay’s Blueprints editor analyzes the visual elements. It identifies recurring patterns—headers, case file grids, date pickers, and document uploaders—and generates documented React components.
💰 ROI Insight: By automating component extraction, Replay reduces the time spent per screen from 40 hours to just 4 hours, representing a 90% efficiency gain in the frontend modernization phase.
Step 3: Business Logic Preservation#
The most dangerous part of modernizing legal tech is losing the hidden business logic—the "if-then" statements buried in the UI that ensure regulatory compliance. Replay extracts these logic flows and generates API contracts and E2E tests to ensure the new SaaS UI behaves exactly like the battle-tested legacy system.
typescript// Example: Generated React component from Replay Visual Extraction // This component preserves legacy validation logic for legal filing dates import React, { useState } from 'react'; import { SubpoenaHeader, FilingGrid, ComplianceAlert } from '@legal-ds/ui'; export const SubpoenaManagementModule = ({ caseId, legacyData }) => { const [status, setStatus] = useState(legacyData.status); // Business logic preserved from legacy .NET desktop app const handleFilingValidation = (date: Date) => { const isJurisdictionValid = validateJurisdiction(legacyData.regionId); if (!isJurisdictionValid) { console.warn("Compliance Alert: Jurisdictional mismatch detected."); return false; } return true; }; return ( <div className="p-6 bg-white rounded-lg shadow-sm"> <SubpoenaHeader title={`Case ID: ${caseId}`} /> <FilingGrid data={legacyData.filings} onValidate={handleFilingValidation} /> {status === 'PENDING' && <ComplianceAlert message="Awaiting Clerk Review" />} </div> ); };
Solving the "Regulated Environment" Problem#
Legal tech exists in a high-stakes environment. SOC2, HIPAA, and strict data residency requirements often make cloud-based AI tools a non-starter. This is where many modernization projects hit a wall: the tools used to modernize aren't as secure as the systems being modernized.
Replay is built specifically for these constraints. It offers:
- •On-Premise Deployment: Run the entire extraction engine within your own VPC or firewalled environment.
- •SOC2 & HIPAA Readiness: Ensure that sensitive legal data captured during the recording phase never leaves your controlled environment.
- •Technical Debt Audit: Automatically generate a report of high-risk areas in your legacy system before you write a single line of new code.
⚠️ Warning: Never attempt a legacy migration in the legal sector without a pre-migration technical debt audit. Knowing which parts of the legacy system are "load-bearing" prevents catastrophic failures during the transition to SaaS.
Generating the "Glue": API Contracts and Tests#
A common failure point in modernizing legal tech is the mismatch between the new React frontend and the legacy backend. Replay solves this by generating API contracts based on the data observed during user workflows.
If the legacy app sends a specific JSON payload to a local server, Replay captures that schema and generates a TypeScript interface, ensuring the new SaaS UI is perfectly aligned with the existing data structures.
typescript// Replay Generated API Contract // Source: Legacy Case Management System - Discovery Module export interface IDiscoveryPayload { case_uuid: string; // Captured as UUID v4 document_count: number; privileged_status: boolean; timestamp: string; // ISO 8601 attorney_of_record: { bar_number: string; firm_id: string; }; } /** * @description E2E Test generated by Replay AI Automation Suite * Validates that the new SaaS UI preserves the discovery submission flow. */ describe('Discovery Submission Flow', () => { it('should match legacy data submission patterns', () => { cy.visit('/discovery/new'); cy.get('[data-testid="doc-upload"]').attachFile('evidence.pdf'); cy.intercept('POST', '**/api/v1/discovery', (req) => { expect(req.body).to.have.property('privileged_status'); }); cy.get('[data-testid="submit-btn"]').click(); }); });
The Architecture of Understanding#
Modernization is often treated as a coding problem, but it is actually a knowledge problem. When you modernize with Replay, you aren't just getting new code; you're getting a Library (Design System) and Blueprints (Functional Documentation) that serve as the foundation for all future development.
The Replay AI Automation Suite#
Beyond simple extraction, Replay uses AI to accelerate the "boring" parts of architecture:
- •Automated Documentation: Generates READMEs and architecture diagrams from your recordings.
- •Component Deduplication: Identifies if two different screens are actually using the same underlying logic, helping you consolidate your design system.
- •Test Generation: Creates Playwright or Cypress tests based on the exact paths users took in the legacy app.
💡 Pro Tip: Use the "Library" feature to build a unified design system across multiple legal products. This ensures that your CMS, Billing, and Discovery tools all share the same UI components, even if they are being modernized by different teams.
Frequently Asked Questions#
How long does legal tech extraction take with Replay?#
While a manual audit of a complex legal suite can take 6-12 months, Replay typically completes the visual extraction and component generation phase in 2 to 8 weeks. This allows for a "pilot" approach where you can see a live, working React version of your most complex legacy screen within days.
What about business logic preservation?#
Replay doesn't just look at the UI; it observes data mutations and state changes. By recording how the legacy app handles specific inputs (like invalid filing dates or jurisdictional rules), Replay generates logic maps that developers can use to ensure the new SaaS UI maintains 100% functional parity with the on-premise original.
Can Replay handle non-web legacy applications?#
Yes. Many legal suites are desktop-based (Delphi, VB6, .NET). Replay’s visual reverse engineering engine can capture workflows from desktop environments and translate those interface patterns into modern, responsive React components for the web.
Does this replace my engineering team?#
No. Replay is a force multiplier for your architects and developers. It handles the "archaeology"—the tedious process of figuring out what the legacy system does—so your team can focus on building the new SaaS features and optimizing the cloud architecture.
The Path Forward#
The $3.6 trillion technical debt crisis won't be solved by throwing more developers at manual rewrites. For legal tech providers, the move from on-premise to SaaS is a survival requirement, but it must be done without the 70% failure risk associated with traditional methods.
By adopting Visual Reverse Engineering, enterprise architects can finally turn the "black box" of legacy systems into a documented, modern, and maintainable codebase. The future of legal tech isn't in the code you write from scratch—it's in the understanding you extract from what already works.
Ready to modernize without rewriting? Book a pilot with Replay - see your legacy screen extracted live during the call.