Traditionally, eDiscovery has been primarily associated with legal proceedings. However, as the role of data and the regulations surrounding data storage and use have evolved, the use of eDiscovery has also expanded. eDiscovery tools and processes can play a pivotal role in the data lifecycle by enabling organizations to locate and access quality data swiftly.

Consider the following eDiscovery practices that support powerful data governance.

Ensure Effective Data Identification and Classification

Data involved in eDiscovery must be searchable and accessible. Additionally, a clear chain of custody for all data ensures the preservation of data integrity, a fundamental goal in eDiscovery.

Achieving these goals requires proper indexing and classification of data through effective metadata management. This in turn makes it easier to manage the data lifecycle and retrieve relevant information when needed.

Today’s platforms offer many different locations and service providers to store information, including localized to computers, internal computer networks, and the cloud. Understanding and controlling the location of information by type is critical to avoid deduplication of effort and having conflicting or out of date documents and information. Data classification is nearly as important as where data is stored.

Prioritize Data Security and Confidentiality

To ensure regulatory compliance and prevent spoliation of data for litigation purposes, companies must focus on data security and privacy. Best practices include encrypting sensitive data and implementing access controls. Organizations should also regularly audit security protocols to prevent data breaches.

Data security and privacy also prove essential for effective data governance. Consequently, this focus on protecting sensitive data and controlling data access accomplishes two critical goals at once.

Automate Where Possible

As the data environment grows increasingly complex, legal teams can find themselves bogged down with identifying and collecting data. Automating many routine and time-consuming tasks frees up legal counsel to focus on doing what they do best. It also allows teams to establish case strategy more quickly while improving accuracy.

For example, automation streamlines tasks such as data identification and classification, deduplication, redaction, review, and analysis. This saves money in eDiscovery while simplifying data governance.

Understand the Benefits and Dangers Posed by AI

AI figures prominently in automating data tasks. It also improves speed and accuracy by quickly combing through huge datasets to identify certain types of information such as account numbers or protected health information. And by identifying trends and anomalies that human reviewers might miss, it helps to uncover hidden insights.

At the same time, however, AI introduces several significant risks. For instance, the accuracy of data used to train AI systems will affect the quality of the data classification the system produces. AI may also introduce unintended bias and privacy concerns. Consequently, while AI may prove essential, business leaders must understand the risks and use the technology wisely.

Leverage eDiscovery Technology

Utilizing eDiscovery tools not only streamlines the eDiscovery process but also reinforces data governance. For example, cloud-based and SaaS eDiscovery solutions provide increased accessibility, scalability, and flexibility. Also, by design, they handle vast amounts of data more efficiently and facilitate seamless collaboration across multiple teams and locations.

When choosing technology to support eDiscovery and data governance, organizations should look for solutions that provide robust security while scaling to handle large and complex data volumes. And to ensure these solutions deliver value, choose tools that are intuitive, easy to learn and use.

Choose Your eDiscovery Vendor Carefully

Finally, as both the data environment and the legal landscape continue to evolve, organizations will benefit from partnering with an experienced eDiscovery vendor. But take time to vet potential vendors carefully, as the decision can significantly impact both legal outcomes and data quality.

Ask detailed questions. For instance, you should prioritize vendors that can demonstrate specific experience in your industry. Also look for providers that have implemented stringent security measures to protect sensitive data and that can ensure compliance with applicable regulations.

Implement eDiscovery Best Practices for Effective Data Governance

eGovernance provides cloud-based solutions for preserving, discovering and accessing digital data within your email and document storage systems for compliance, audit, security, eDiscovery and warehousing of critical or older data. We provide fully managed solutions with access to subject matter experts in the fields of Information Governance, records retention policies and eDiscovery.

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However, implementing effective information governance requires careful planning and coordination. And it takes time. Organizations should start with a comprehensive data audit to inform next steps. Leveraging information governance consulting services will streamline the process.

Assess Your Current State and Future Data Goals

To begin with, the organization must learn what data it has and where it lives. An initial data audit will develop a picture of data across the enterprise. The audit includes components such as:

• Data mapping – The organization must identify where data lives and how it is stored. This will include understanding information infrastructure elements such as document libraries. It will encompass all storage locations, whether on premises or in the cloud. And it will involve identifying sensitive data.
• Determining data quality – Duplicates, outdated information, and data silos all affect the quality of data. Likewise, access issues affect the usefulness of data. If the right people cannot find and access the information they need quickly and securely, the data holds little value.
• Assessing data processes and policies – Determine what information policies exist and whether they are enforced. These include policies for accessing and sharing data as well as policies for retaining and destroying information.
• Evaluating information security – A cyber security assessment reviews the policies and security controls governing information storage, movement, and access. And it evaluates existing security measures against regulatory requirements, industry standards and business needs.

With an understanding of the current state of information, the organization can define its vision and goals for information governance, aligning those goals with business needs.

Locate and Classify Data

Data classification proves foundational to good information governance. Sensitive and important data may be hidden in documents, meeting minutes, emails, chats and more. Labeling sensitive data allows data stewards to track that data and apply essential protections such as encryption and sharing restrictions.

Manually locating and tagging data proves difficult if not impossible at scale. But AI-powered tools automate the process of finding and classifying data wherever it lives. Properly classified data simplifies regulatory compliance and eases the eDiscovery process.

Define and Implement Data Lifecycle Policies

Data classification plays a key role in enforcing data retention and destruction policies. Regulations such as PCI DSS and HIPAA include strict rules around the minimum amount of time to retain certain types of information. On the other hand, information retained too long can become a liability.

Automating retention policies according to data type gives the organization a defensible way to maintain regulatory compliance. Because regulations and business priorities evolve over time, data stewards should regularly review and update retention policies.

Ensure Compliance Management

To address mandates from a wide variety of regulations, an effective information governance strategy should include regular compliance monitoring. eGovernance monitoring tools deliver visibility into sensitive data from a single console. Content alerts and reports allow for proactive remediation. And monitoring provides proof of policy demanded by many regulations.

Build Comprehensive Data Security

Data security works hand in hand with compliance monitoring as an essential element of information governance. While regulatory compliance mandates reasonable security precautions, organizations must move beyond checkbox compliance to protect against data breaches.

A risk assessment will highlight vulnerabilities and provide a basis for security planning. Security strategies must include ensuring proper access management. Endpoint protection, encryption, data backups, and multifactor authentication prove critical, as well. And organizations must address supply chain security and provide regular security awareness training for all staff.

Adapt Information Governance Strategy to Business Needs

Company structure, business priorities and specific industry requirements all play a role in information governance. Consequently, the optimal strategy will look different from one company to another. In every organization, however, effective information governance requires engagement of stakeholders and users throughout the organization.

eGovernance delivers a cloud-based information governance solution. Our consultants will work with your organization to design and implement an information governance strategy customized to your specific business needs.

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The post Effective Information Governance Strategy Drives Data Value and Supports Business Goals appeared first on eGovernance.