Traversing Through eDiscovery Data Sources Amid the Hybrid Work Environment

 

A look at eDiscovery data sources, the issues they provide in today's hybrid work environment, and possible solutions


The COVID-19 pandemic unleashed a tsunami of new technologies, software, procedures, methodologies, and upgrades to old ones, allowing the world's suddenly remote workforce to interact and collaborate more effectively. Meanwhile, cloud service providers saw an unprecedented increase in product utilization since businesses now require it more than ever. However, after almost two years, as we transition from completely remote work culture to a hybrid or back-to-office work culture, companies are yet again struggling. This time, the concern is the ever-increasingly complex regulatory compliance environment. And it only requires more severe and strong systems and procedures to cater to the massive surplus of eDiscovery data sources generated recently.


Amid this chaos are the legal professionals, specifically the eDiscovery and compliance teams. They are entrusted with determining the long-term viability of existing policies, procedures, software, and litigation tactics. They are also assigned to develop more robust, functional processes and workflows to efficiently gather ESI to analyze these new data types in the cloud in response to updated regulatory requirements.  Simultaneously, legal teams must prevent needless expenditures or delays during inquiries, investigations, or litigation. But all of it starts with collecting data.


eDiscovery Data Sources

Data security is one of the most challenging eDiscovery, and IT concerns in today's hybrid work culture. It necessitates considerable vigilance on both parties to protect the highly sensitive and confidential data they have been entrusted with. Someone, for example, maybe running an unapproved application on their work computer, putting the entire network at risk. So, how can this issue be adequately addressed?


One step toward the solution is a comprehensive and coordinated endeavor to reduce security threats on eDiscovery data sources. Firms, corporations, and legal professionals should have policies and procedures in place to secure data from collection through disposal. For example, making two-factor authentication essential for all apps. By carrying out this simple but critical step, you add another layer of protection between your sensitive data and malicious attackers. It is also crucial to avoid storing personal and corporate data together and managing personally identifiable information (PII) during institutional storage.


Furthermore, even though more individuals are working remotely than ever before, there must be a distinction between what is kept on personal devices and what is stored on business devices. Allowing your team members to work on their home computers may be convenient, but that device must have all the built-in security safeguards that a business computer has enforced by mobile device management systems in adherence to the eDiscovery software requirements. All of this improves security and protects data both before and during data collection. But that is not all; you need technology to make your policies and processes effective.


eDiscovery Technology

Every year, businesses squander millions of dollars troubleshooting data processing issues because the processing engine they utilize cannot proactively detect potential problems.


Companies should look for solutions that solve these flaws right away to avoid this scenario. One approach is to look for a processing engine that offers intelligent and dynamic processing by utilizing powerful analytics powered by built-in artificial intelligence technology. Such a system would approach all eDiscovery data sources with a governance-first orientation. To give the results, it must enable powerful search capable of skimming through millions, if not billions, of files and data simultaneously. It must have an early case assessment feature so that you can win your legal battle early on. Most significantly, it should take a defensible approach to all data, allowing for compliance by including audit trails.

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