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M&A Remediation

Identify and exclude sensitive information from being migrated during M&A data discovery and migration projects.

During mergers and acquisitions, organisations may need to move data around between the newly created entities as employees and resources are split between the two or brought into the new organisation. This data migration process can be complex, particularly if the divested entity needs to continue operations and access to the necessary data while other data needs to be excluded to prevent any potential legal or regulatory issues. Effective data management during merger/acquisition is crucial for the success of the newly formed entities.

What We Deliver

We help our clients identify and exclude sensitive information from being migrated to a newly divested company.​

workflow

Project Blueprint 

 
       
         
STEP 1

STEP 1​

Identify data that cannot be migrated during M&A data discovery and migration projects. Specify which data can and cannot be taken by employees joining the new company.​​

       
         
STEP 2

STEP 2​

Provide the means to review the identified data, ensuring compliance with regulations and intellectual property agreements.​

 
 
       
         
STEP 3

STEP 3​

Work with the company’s seller to control the data and supports M&A, legal, compliance, and IT teams involved in the process.​​

       
         
STEP 4

STEP 4

Implement a process to review and exclude non-migratable data, ensuring it remains with the original company while allowing employees to take permissible data.​

 

Why use Epiq for M&A Remediation?

We support clients across all industries, handling cloud and on-premise data and providing a repeatable project blueprint, process architecture, and best practices. Drawing on our extensive experience in eDiscovery and data lifecycle management, we collaborate with IT, Legal, and M&A teams to ensure a seamless and secure data migration process. Our proprietary processes identify and exclude non-migratable data, safeguarding against unintentional data leakage; instilling confidence in data protection throughout the divestiture.

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