Data Congruency: The Quick Fix for Rectifying the Industry’s Continued Disregard for Science


In an increasingly competitive global economy, companies continue invest heavily in data analytics as a tool to win business. Whether the interest is to learn more about customers, or how to improve operational performance, data lines the the heart of solving the problem. While other corporate departments dominate the use of data analytical resources, in-house legal departments often go left behind.

At the core of many discovery requests are: (1) email, in a structured data environment; and (2) electronic documents, typically in an unstructured environment. Simply put, structured data requires know-how on how the software manages the data within it, and unstructured data is comprised of loose documents stored nearly anywhere that data can be saved.

Unfortunately, legal departments are often considered to be a cost center within a business and are left battling for budget. Some businesses have had the opportunity to acquire electronically stored information (ESI) tools to use in their discovery of mailboxes, documents and to help preserve data. Using review tools like these in order to maintain market position have added analytic engines (predictive coding) to their platform software while others may even offer to process data for free within the software. To date, however, no tools are readily available on the market solve the root complexity of data discovery, which is information governance with an emphasis on ESI discovery. Despite corporations’ continued efforts to converge upon the outside counsel base, pricing models for ESI services encourage misaligned interests.

Source: abovethelaw.com

Unfortunately, legal departments are often considered to be a cost center within a business and are left battling for budget.  Some businesses have had the opportunity to acquire electronically stored information (ESI) tools to use in their discovery of mailboxes, documents and to help preserve data.  Using review tools like these in order to maintain market position have added analytic engines (predictive coding) to their platform software while others may even offer to process data for free within the software.  To date, however, no tools are readily available on the market solve the root complexity of data discovery, which is information governance with an emphasis on ESI discovery.  Despite corporations’ continued efforts to converge upon the outside counsel base, pricing models for ESI services encourage misaligned  interests.
ESI discovery must align with quantitative analytics in order to align interests and build congruency.

See on Scoop.itData Nerd’s Corner

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