Information Discovery Simplifies Compliance and Risk Management

Information discovery simplifies compliance and risk management by identifying and categorizing sensitive data, reducing the risk of data breaches and fines. This process involves collecting and analyzing data from various sources, including emails, documents, and databases.

Regular information discovery helps organizations stay compliant with regulations, such as GDPR and HIPAA, by ensuring they have a clear understanding of their data landscape. This is especially important for industries with strict data protection requirements.

Effective information discovery also enables organizations to identify and mitigate risks associated with data retention and disposal. By knowing what data they have and where it's stored, organizations can take steps to protect sensitive information and avoid potential data breaches.

By simplifying compliance and risk management, information discovery helps organizations reduce the administrative burden and focus on more strategic initiatives.

Information discovery is a crucial process in the legal and corporate industry that involves distilling a corporation's data corpus down to the most pertinent evidence related to a court-related matter or compliance directive.

The process involves managing the entire data collection to identify all pertinent evidence associated with the matter. This includes targeting the information for collection, processing and identification of relevant data, and processing for document hosting and legal document/information review.

Information discovery is a more encompassing term than manage document review and/or Electronic Discovery, as it covers the entire process involved in identifying relevant information within a legal matter.

Global organizations deal with legal discovery and disclosure requests for electronically stored information and paper documents on a regular basis, making information discovery a vital process to navigate.

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Information discovery is an essential step in understanding what information you have, its characteristics, and how it's used. An information inventory or information audit can help you develop an information architecture, identify and manage information risk, and support good information governance.

Understanding the 'as is' to prepare for the 'to be' is crucial. This involves understanding the 'what,' 'where,' and 'why' of your information assets, as well as identifying information of value, redundant, trivial, and out-of-date information.

Here's a summary of the benefits of information discovery:

Rule 26 Disclosure Duty is a crucial aspect of the litigation process. It requires parties to disclose information relevant to the case, including electronically stored information.

This duty is triggered when a lawsuit is filed or anticipated. As stated in the Federal Rules of Civil Procedure, Rule 26(a)(1)(B), parties must disclose "electronically stored information, as well as any insurance agreements under which an insurance business may be liable to satisfy all or part of a possible adverse judgment."

The scope of Rule 26 Disclosure Duty is broad, encompassing not just documents, but also electronic data, such as emails, text messages, and other digital communications.

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Data classification is a crucial step in protecting sensitive information. By assigning a sensitivity label to each data element, organizations can prioritize their protective measures and allocate resources accordingly.

Data classification helps in identifying the highest-risk assets and implementing stronger security controls around them. This is essential for effective data protection, as it enables organizations to safeguard sensitive data from unauthorized access and costly breaches.

Data classification is also a regulatory requirement, as it helps organizations comply with laws such as the General Data Protection Regulation (GDPR) and the Health Insurance Portability and Accountability Act (HIPAA). Failure to comply with these regulations can lead to severe financial penalties and reputational damage.

Some common data classifications include public, internal, confidential, and highly confidential. By understanding the sensitivity levels and corresponding security controls for each classification, organizations can streamline data handling processes and ensure that sensitive data is only accessed by authorized individuals.

Here are some key benefits of data classification:

By incorporating data classification into their information management strategy, organizations can significantly enhance their ability to protect sensitive data and maintain the trust of their customers and stakeholders.

We start by developing an information inventory, which is created by undertaking a quantitative analysis of system metrics and a qualitative view of the information that is created and stored. This allows us to understand the 'what' and 'why' of the organisation's information assets.

We use a combination of quantitative and qualitative approaches to gather information, including summarizing, counting, and grouping characteristics of the information stored in shared drives and other systems. This helps us to identify underlying information management behaviours and inform the information architecture and solution specification.

We also conduct interviews or workshops with relevant staff to understand the nature of the information, how staff use it, and the value it has to the organisation. This helps us to identify information findability and information management requirements.

Our process involves identifying and defining sensitive data, implementing data classification, utilizing data discovery tools, training employees, regularly monitoring data access, conducting security audits, and staying abreast of regulatory changes.

Here are the key steps in our information discovery process:

By following this process, we can gain a thorough understanding of an organisation's information assets and develop a robust information strategy that meets their needs.

Information discovery can be a daunting task, especially when dealing with massive amounts of data. Managing the entire data collection to identify pertinent evidence associated with a matter is a crucial step.

Global organizations regularly face legal discovery and disclosure requests for electronically stored information and paper documents. This process can be tedious and expensive.

Metataxis has helped many organizations undertake information discovery projects, often as a precursor to larger information management projects. We have a wealth of experience right across the spectrum of information management disciplines.

Our team is perfectly positioned to audit your content and understand what these inventories are telling us about the challenges and opportunities in your information landscape. This expertise allows us to provide tailored solutions to our clients.

Corporations are looking for ways to defray the expense associated with information discovery, and bringing solutions in-house or insourcing through a third-party service provider is a common approach.