As data takes on increasingly more forms, processes like eDiscovery are becoming more complex for legal professionals. Understanding the high data reliability requirement can help your litigation and your firm’s business processes.

Data integrity, quality and accuracy are all closely related but have their differences. When you grasp what these three definitions mean, you can better analyse your firm’s data governance and the data presented by your clients.

Once you understand the data you deal with daily, you’ll be better positioned to explore software that can streamline your processes. So, let’s examine what data integrity, quality and accuracy mean for legal professionals.

• Data integrity, defined
• Data quality, defined
• Data accuracy, defined