In a two-part series of blog posts, Thomson Reuters writer Jeremy Byellin examines the state of ediscovery — the monumental growth the sector is seeing in today’s litigation environment and how its technological advancements often fail to keep up with this rapid growth. As a result of these growing pains, many firms are finding themselves frustrated by limitations and inefficiencies in their ediscovery processes.
Part 1: Data Uploading, Processing and Data Integrity
Ediscovery technology expert Kyle Sparks spoke recently about these frustrations along with how they may be alleviated by future ediscovery advancements. According to Sparks, firms are experiencing frustrations at several points in the ediscovery process.
In regards to uploading data, Sparks identified two pain points for firms. First, in situations when data is uploaded and stored in the cloud, Sparks noted that firms are often limited by the capabilities of the data storage providers — specifically, that a cloud provider may not be able to adequately handle large amounts of data uploaded by firms. The second of these pain points is the need to ensure the integrity of the data uploaded. Often, Sparks noted, because the data to be uploaded may come from a variety of sources outside of the firm — the system integrity of many of which cannot be verified — the risk of the data containing malicious software such as viruses may be high, and the integrity of the data must be confirmed prior to upload.
Part 2: Search Functions
Given the enormous amount of discovery data that may be present for any given legal matter, proper search functions are understandably vital for firms to locate the information that they are looking for quickly and accurately. Unfortunately, many search functions continue to cause headaches for its users, and ediscovery technology expert Kyle Sparks spoke about these frustrations along with how they may be alleviated by future ediscovery advancements.
Sparks identified three major pain points pertaining to searching on ediscovery platforms:
- Searching for the correct term;
- Excluding unnecessary search results; and
- Having sufficiently accurate optical character recognition (OCR).