Extract from Reveal’s article “What Is the Purpose of Data Normalization in eDiscovery?”
Data normalization means bringing electronically stored information into a consistent, organized format so legal teams can search, filter, and review it with confidence during the eDiscovery process. It removes inconsistencies in file types, metadata, and structure. The result is sharper search results, lower review costs, and a stronger position if decisions are challenged.
The International Data Corporation projected the global datasphere would reach 175 zettabytes by 2025. With data growing at that pace, legal teams can’t rely on scattered or mismatched records. Let’s look closely at how standardization improves search accuracy, strengthens electronic discovery tools, supports compliance, and promotes efficiency across the review process.
The Role of Data Normalization in eDiscovery
Data normalization sits at the heart of effective document review. Before attorneys can search, filter, or analyze anything, the information has to be organized consistently. The eDiscovery process works best when legal teams can rely on clean data that behaves predictably across platforms.
