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January 31, 20268 min readModernizing Legal Case

Modernizing Legal Case Management: From On-Premise Monoliths to Modern Web Apps

R
Replay Team
Developer Advocates

The average legal case management system (LCMS) is a museum of early 2000s software architecture. While the world moved to the cloud, the legal industry stayed anchored to on-premise monoliths built in Delphi, PowerBuilder, or early .NET frameworks. Today, these systems represent a significant portion of the $3.6 trillion global technical debt, creating a bottleneck for firms that need to integrate AI, mobile access, and real-time collaboration.

The standard industry response is a "Big Bang" rewrite—an 18 to 24-month odyssey that carries a 70% failure rate. For legal organizations, where data integrity and uptime are non-negotiable, this level of risk is unacceptable. The alternative isn't just "moving to the cloud"; it’s understanding the complex business logic buried in these black boxes without spending thousands of hours on manual "software archaeology."

TL;DR: Modernizing legal case management requires shifting from high-risk manual rewrites to Visual Reverse Engineering, reducing modernization timelines from years to weeks by using video recordings as the source of truth for code generation.

Legal case management is uniquely difficult to modernize because the "source of truth" is rarely the code itself—it’s the way senior paralegals and attorneys interact with the system. Over twenty years, these systems have been encrusted with bespoke business rules, edge-case handling for specific jurisdictions, and complex document generation logic that is almost never documented.

Current statistics show that 67% of legacy systems lack any meaningful documentation. When you attempt to modernize a legal case management system manually, you aren't just writing code; you are performing an autopsy on a living patient.

The Cost of Manual Modernization#

MetricManual Rewrite (Big Bang)Strangler Fig PatternReplay (Visual Reverse Engineering)
Average Timeline18–24 Months12–18 Months2–8 Weeks
Risk ProfileHigh (70% Failure Rate)MediumLow
Cost$$$$$$$$
DocumentationManual / Post-hocPartialAutomated / Real-time
Developer Effort40 hours per screen30 hours per screen4 hours per screen

⚠️ Warning: Attempting a Big Bang rewrite of a legal monolith without a captured record of user workflows is the primary reason 70% of enterprise modernization projects exceed their budgets and timelines.

From Black Box to React: The Visual Reverse Engineering Shift#

The future of modernizing legal case management isn't starting from a blank IDE. It’s about extracting the DNA of your existing system. Replay enables this by recording real user workflows—such as filing a motion, managing discovery, or calculating statutory deadlines—and converting those visual interactions into documented React components and API contracts.

Instead of an architect spending weeks interviewing users to understand how "Matter Management" works, they simply watch the system work. Replay captures the state transitions, the data inputs, and the underlying business logic, then generates the modern equivalent.

Step 1: Workflow Capture and Visual Audit#

The first step in modernizing legal case management is identifying the "Core 20"—the 20% of screens that handle 80% of the firm's daily operations. Using Replay, developers record these workflows in the legacy environment.

Step 2: Automated Schema Inference#

Legal systems are notorious for convoluted database schemas. Replay analyzes the data flow during the recording to infer the underlying API contracts required to support the modern UI. This eliminates the "discovery phase" that typically consumes the first three months of a project.

Step 3: Component Generation#

Replay takes the recorded video and maps the legacy UI elements to a modern Design System. It generates clean, production-ready React code that preserves the functional intent of the original system while upgrading the user experience.

typescript
// Example: Generated React component from Replay's extraction of a Legacy Case Detail screen import React, { useState, useEffect } from 'react'; import { CaseHeader, DocumentList, Timeline } from '@legal-ds/core'; interface CaseData { caseId: string; matterType: 'Civil' | 'Criminal'; status: string; lastUpdated: string; } export function CaseDetailModernized({ id }: { id: string }) { const [caseData, setCaseData] = useState<CaseData | null>(null); // Logic preserved from legacy workflow: // Validation of jurisdiction-specific filing deadlines const validateDeadlines = (data: CaseData) => { return data.matterType === 'Civil' ? 30 : 15; }; return ( <div className="p-6 bg-slate-50"> <CaseHeader title={`Matter: ${caseData?.caseId}`} status={caseData?.status} /> <div className="grid grid-cols-3 gap-4 mt-4"> <div className="col-span-2"> <DocumentList caseId={id} /> </div> <Timeline history={[]} /> </div> </div> ); }

💰 ROI Insight: By automating the extraction of UI and business logic, firms reduce the cost per screen from roughly $6,000 (manual) to $600 (automated via Replay).

Solving the "Documentation Gap" in Regulated Environments#

Legal and government sectors operate under strict regulatory scrutiny (SOC2, HIPAA, etc.). A primary pain point in modernization is maintaining a clear audit trail of why the new system functions the way it does.

When you modernize with Replay, the documentation is a byproduct of the process, not a chore left for the end of the project. Replay generates:

  • API Contracts: Swagger/OpenAPI specs derived from actual legacy traffic.
  • E2E Tests: Cypress or Playwright tests that mirror the recorded user workflows.
  • Technical Debt Audit: A clear map of which legacy features were migrated and which were deprecated.

Comparison: Documentation Quality#

FeatureManual DocumentationReplay AI Automation
AccuracySubjective / Human Error1:1 Reflection of Reality
Update FrequencyRarely updatedReal-time during extraction
Technical DepthHigh-level overviewsFull API & State Mapping
Audit ReadinessLowHigh (Video Proof of Truth)

The "Strangler Fig" 2.0: Incrementally Modernizing Case Management#

You don't have to replace the whole monolith at once. The most successful legal tech modernizations use an incremental approach. By extracting specific "Flows" with Replay, you can host modern React modules inside the legacy shell, or vice versa.

The Modernization Workflow:#

  1. Identify a Flow: e.g., "New Client Intake."
  2. Record with Replay: Capture the 15-screen wizard in the legacy app.
  3. Generate Blueprints: Use Replay’s AI Suite to generate the React frontend and the Node.js or .NET backend stubs.
  4. Bridge the Data: Connect the new API contracts to the legacy SQL Server or Oracle database.
  5. Deploy: Roll out the modern intake form while the rest of the system remains untouched.
typescript
// Replay-Generated API Contract for Legal Matter Creation /** * @POST /api/v1/matters * Derived from legacy workflow: "Create New Case" * Preserves mandatory fields identified during visual recording */ export interface CreateMatterRequest { client_id: string; // Required matter_description: string; practice_area_code: number; // Mapping: 1=Litigation, 2=Corporate initial_retainer_amount: number; assigned_attorney_uuid: string; }

💡 Pro Tip: Focus your first Replay pilot on a high-traffic, low-complexity workflow. This demonstrates immediate value to stakeholders and proves the extraction pipeline works before tackling the complex billing engines.

Addressing Security and Compliance Concerns#

In legal services, data cannot leave the perimeter. Many modern "AI" tools require sending code snippets or database schemas to a third-party cloud.

Replay is built for these regulated environments:

  • On-Premise Availability: Run the extraction engine entirely within your own VPC.
  • SOC2 & HIPAA Ready: Designed for industries where data privacy is the top priority.
  • PII Masking: Visual recordings can automatically mask sensitive client information during the extraction process, ensuring developers see the structure of the data, not the data itself.

Frequently Asked Questions#

How does Replay handle complex business logic that isn't visible on the screen?#

While Replay excels at visual reverse engineering, it also captures the network calls and state changes occurring in the background. By analyzing the "Flows," Replay’s AI Automation Suite can infer the logic applied to data before it hits the UI, generating the corresponding backend API contracts and validation logic.

We have 20 years of custom SQL stored procedures. Can Replay help?#

Yes. By recording the workflows that trigger those stored procedures, Replay documents the input/output requirements. This allows you to wrap those legacy procedures in modern APIs or systematically migrate the logic to a modern service layer without breaking the frontend.

What is the learning curve for an Enterprise Architect?#

Replay is designed to fit into existing workflows. Architects use the "Library" to manage design systems and "Blueprints" to guide the code generation. Most teams are productive within 48 hours, moving from recording to their first generated React component in the same week.

A single complex workflow (e.g., "Conflict Check" or "Time Entry") typically takes 4 hours to extract and document using Replay, compared to the 40+ hours required for manual requirements gathering and coding. An entire system of 100 screens can be mapped and prepared for migration in roughly 4-6 weeks.


Ready to modernize without rewriting? Book a pilot with Replay - see your legacy screen extracted live during the call.

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