Back to Blog
February 18, 2026 min readtechnical diligence disasters forensic

M&A Technical Diligence Disasters: Why UI Forensic Analysis Prevents Bad Acquisitions

R
Replay Team
Developer Advocates

M&A Technical Diligence Disasters: Why UI Forensic Analysis Prevents Bad Acquisitions

The deal closed at $450 million on a Friday. By Monday, the acquiring CTO realized they hadn't bought a "market-leading SaaS platform"—they had purchased a $3.6 trillion global technical debt liability wrapped in a decaying Silverlight shell. The backend looked clean in the pre-sale documentation, but the actual business logic—the "secret sauce" that drove user retention—was trapped in 15 years of undocumented UI spaghetti code. This is the nightmare scenario that defines technical diligence disasters forensic teams are increasingly called to investigate post-mortem.

In the high-stakes world of Mergers and Acquisitions (M&A), traditional technical diligence often stops at the API layer. Auditors look at GitHub repos, SOC2 reports, and database schemas. However, according to Replay's analysis, 67% of legacy systems lack any form of up-to-date documentation, and the most critical business rules are often hardcoded into the frontend components rather than the backend services.

TL;DR: Traditional M&A technical diligence often misses the "UI Iceberg"—the massive amount of undocumented, hardcoded logic in legacy frontends. These technical diligence disasters forensic audits reveal can lead to failed 18-month rewrites and massive technical debt. Replay mitigates this risk through Visual Reverse Engineering, converting recorded user workflows into documented React code and Design Systems, reducing modernization time by 70% and turning months of manual audit into days of automated discovery.

The Invisible Liability: Why Code Audits Aren't Enough#

Most private equity firms and enterprise acquirers rely on static code analysis. They run tools like SonarQube or Snyk to check for vulnerabilities and "code smells." While useful, these tools cannot tell you what the software actually does from a user's perspective. They can't tell you that a specific button click triggers a chain of 14 undocumented legacy API calls that are no longer supported by the original vendor.

Industry experts recommend moving beyond static analysis toward UI Forensic Analysis.

UI Forensic Analysis is the process of extracting logical workflows, state management patterns, and component structures from an existing user interface to reconstruct its underlying architecture without needing original source documentation.

When you ignore the UI layer during diligence, you risk inheriting what we call the "Black Box Legacy." This is where the cost of integration or modernization skyrockets. Industry stats show that the average enterprise rewrite takes 18 months, and 70% of these legacy rewrites fail or significantly exceed their original timelines.

The Anatomy of Technical Diligence Disasters Forensic Teams Uncover#

When an acquisition goes south, it’s usually because the "integration" phase turns into a "total reconstruction" phase. Here are the three most common triggers for technical diligence disasters forensic investigators find in the field:

1. The Documentation Void#

67% of legacy systems lack documentation. When the original developers are gone, the UI becomes the only source of truth. If you can’t map the UI to the code, you are flying blind. This is where Replay changes the game by using Video-to-code technology.

Video-to-code is the process of recording a real user workflow and using AI-driven visual reverse engineering to generate the corresponding React components, state logic, and documentation.

2. The Hardcoded Logic Trap#

In older systems (especially in Financial Services and Healthcare), business rules are frequently buried in the frontend. If a developer manually tries to extract these rules, it takes an average of 40 hours per screen. With Replay, that time is slashed to 4 hours per screen.

3. The "Frankenstein" Architecture#

Acquired companies often have UIs built across different eras—some parts in Angular 1.x, some in jQuery, and some in React. Without a unified Design System, the cost of maintaining this "Frankenstein" UI becomes a permanent tax on the acquiring company’s R&D budget.

Comparison: Traditional Diligence vs. Replay-Enhanced Forensic Analysis#

FeatureTraditional Technical DiligenceReplay UI Forensic Analysis
Primary Data SourceStatic Code / GitHub ReposLive User Workflows / Visual State
Documentation AccuracyOften 2-3 years out of date100% reflective of current production
Time to Document Screen40 hours (Manual)4 hours (Automated)
Modernization Path"Rip and Replace" (High Risk)Visual Reverse Engineering (Low Risk)
Success Rate30% of rewrites succeed70% average time savings
Regulatory ReadinessManual Audit TrailsAutomated SOC2/HIPAA-ready exports

How Visual Reverse Engineering Prevents the "Rewrite Trap"#

To avoid technical diligence disasters forensic audits usually document, architects must be able to visualize the "Flows" of an application. Replay’s "Flows" feature allows an architect to see the entire architecture of a legacy system by simply recording a user session.

Imagine you are acquiring a legacy insurance platform. Instead of spending 6 months reading through 1 million lines of undocumented COBOL-connected JavaScript, you record the "Claims Processing" workflow. Replay then generates a Blueprint of that workflow.

Code Implementation: From Legacy Mess to Clean React#

In a typical disaster scenario, a developer might find legacy code that looks like this:

typescript
// Legacy "Spaghetti" Logic found during diligence function processTransaction() { var amount = document.getElementById('amt').value; if (amount > 1000) { // Hidden business logic: Why 1000? // No one knows, but the UI enforces it. alert("Manual review required"); $.ajax({ url: "/legacy-api/v1/review", method: "POST", data: { val: amount } }); } // ... 500 more lines of DOM manipulation }

This code is a nightmare to maintain. Using Replay, this functional logic is captured and converted into a modern, documented React component that can be integrated into a new Design System.

Here is the modernized output generated by Replay’s AI Automation Suite:

tsx
import React, { useState } from 'react'; import { useTransactionStore } from './store'; /** * Modernized Transaction Component * Generated via Replay Visual Reverse Engineering * Original Workflow: Claims Processing - Step 4 */ export const TransactionProcessor: React.FC = () => { const [amount, setAmount] = useState<number>(0); const { triggerReview, submitTransaction } = useTransactionStore(); const handleProcess = async () => { // Logic extracted from legacy UI forensic analysis if (amount > 1000) { await triggerReview(amount); } else { await submitTransaction(amount); } }; return ( <div className="p-6 border rounded-lg shadow-sm"> <label className="block text-sm font-medium text-gray-700"> Transaction Amount </label> <input type="number" value={amount} onChange={(e) => setAmount(Number(e.target.value))} className="mt-1 block w-full rounded-md border-gray-300 shadow-sm" /> <button onClick={handleProcess} className="mt-4 bg-blue-600 text-white px-4 py-2 rounded" > Process Transaction </button> </div> ); };

By converting the legacy UI into clean, typed TypeScript/React, Replay allows the acquiring team to start delivering value in weeks rather than the 18-month average enterprise rewrite timeline.

Implementing Forensic Diligence in Regulated Industries#

For acquisitions in Financial Services, Healthcare, or Government, the stakes for technical diligence disasters forensic teams are even higher. Compliance isn't just a "nice to have"—it's a legal requirement.

If you acquire a healthcare platform and cannot prove how data flows through the UI to the backend, you are in violation of HIPAA. Replay is built for these environments, offering On-Premise deployment and SOC2 compliance to ensure that even the most sensitive "forensic" data remains secure.

According to Replay's analysis, companies in regulated sectors that use visual reverse engineering are 3x more likely to pass post-acquisition audits than those relying on manual documentation.

Learn more about Modernizing Regulated Systems

The Strategic Advantage of the "Library" and "Blueprints"#

When performing diligence, Replay provides two key assets that prevent post-deal friction:

  1. The Library (Design System): Replay automatically identifies recurring UI patterns across the acquired software and organizes them into a component library. This allows the acquiring company to see exactly how much "UI debt" they are taking on.
  2. Blueprints (Architecture): Replay’s Blueprints offer a high-level visual map of the application's logic. This is the "map" that 67% of legacy systems are missing.

By having these assets ready before the deal closes, the M&A team can accurately price the acquisition, accounting for the true cost of technical debt. Instead of guessing at a $3.6 trillion global technical debt problem, they have hard data.

Moving from "Forensic" to "Future-Proof"#

The goal of avoiding technical diligence disasters forensic audits uncover is not just to avoid a bad deal—it's to accelerate a good one. When you can modernize without rewriting from scratch, you achieve a level of agility that competitors can't match.

Instead of spending the first two years post-acquisition fighting legacy fires, your engineering team can focus on new features. Replay’s ability to provide 70% average time savings means that the "Modernization Phase" of an acquisition can happen concurrently with the "Integration Phase."

As we see in The Future of Visual Reverse Engineering, the move toward AI-automated code extraction is no longer optional for enterprise-scale M&A.

Frequently Asked Questions#

What are the most common technical diligence disasters forensic teams find?#

The most common disasters include "Black Box" logic where critical business rules only exist in the frontend code, total lack of documentation for legacy APIs, and hidden security vulnerabilities in unmaintained UI frameworks like Silverlight or old versions of AngularJS. These issues often lead to 18-month rewrite projects that fail to deliver.

How does Replay help during the M&A diligence phase?#

Replay allows diligence teams to record user workflows and automatically generate a technical blueprint of the application. This reveals the true complexity of the UI, identifies hardcoded logic, and provides a clear path for modernization, allowing the acquirer to accurately estimate the cost of technical debt before closing the deal.

Can Replay handle sensitive data in regulated industries like Healthcare or Finance?#

Yes. Replay is built for regulated environments. It is SOC2 and HIPAA-ready, and it offers On-Premise deployment options. This ensures that sensitive data captured during the visual reverse engineering process never leaves the secure environment of the organization.

Why is UI-based forensic analysis better than just looking at the source code?#

Source code tells you what the instructions are, but it doesn't always tell you how they are used in practice. UI forensic analysis captures the actual state and behavior of the application as users experience it. This is crucial for legacy systems where the source code is often a "Frankenstein" of different eras and styles that no longer match the original intent.

How much time can Replay save during a post-acquisition modernization?#

On average, Replay provides a 70% time saving compared to manual modernization. While a manual effort to document and rebuild a single screen can take 40 hours, Replay can reduce that to just 4 hours by automating the component extraction and documentation process.

Ready to modernize without rewriting? Book a pilot with Replay

Ready to try Replay?

Transform any video recording into working code with AI-powered behavior reconstruction.

Launch Replay Free