Search results for: grimm

In the weeks following LTNY 2010, I have tried to catch up on the demos and briefings that did not make it into my busy show schedule. I finally managed a look at the new i-Decision automated first pass review from the team at DiscoverReady. It got me thinking about the entire concept of automated relevance designation. Several years back, H5 introduced automated review to the market using their Hi-Q Platform™. Recommind’s Axcelerate, Equivio’s Relevance and now Xerox Litigation Services CategoriX also bring some flavor of automated categorization to the field. Having at least five serious products on the market tells me that customers are paying the relatively high per item or per GB rates to bypass a full manual review.

My first article on corporate data collections focused on preserving the content, container and context of native files as found on network shares and desktop folders. Discovery requests are increasingly targeting email archives, content management systems and other semi-structured data sources. Most of these sources include search and retrieval features, so one could assume that this makes them a safer candidate for in-house collections. This is not automatically true and is definitely worth talking through some of the common problems that can lead to incomplete or altered retrievals. The first thing to realize is that these systems were not designed to comply with legal discovery requests as found in the United States. The search and retrieval functionality was added to support a business user seeking to find a few specific email or an IT administrator restoring a larger set of items that were either lost or need to be transferred to a new user. Both of these scenarios stress quick, simple search without needing to verify the accuracy or integrity of the search or restoration.

Yesterday, Marilyn Gladden introduced the eDiscoveryJournal Bootcamp Program. We are excited to bring pragmatic, in-depth, and actionable advice to eDiscovery professionals in an intimate environment. The current boot camp series covers some great topics: selecting an eDiscovery service provider; BYOD and mobile forensics; Legal Hold; and Predictive Coding. In this article, I would like to go a bit deeper into the Predictive Coding boot camps.

In the weeks following LTNY 2010, I have tried to catch up on the demos and briefings that did not make it into my busy show schedule. I finally managed a look at the new i-Decision automated first pass review from the team at DiscoverReady. It got me thinking about the entire concept of automated relevance designation. Several years back, H5 introduced automated review to the market using their Hi-Q Platform™. Recommind’s Axcelerate, Equivio’s Relevance and now Xerox Litigation Services CategoriX also bring some flavor of automated categorization to the field. Having at least five serious products on the market tells me that customers are paying the relatively high per item or per GB rates to bypass a full manual review.

My first article on corporate data collections focused on preserving the content, container and context of native files as found on network shares and desktop folders. Discovery requests are increasingly targeting email archives, content management systems and other semi-structured data sources. Most of these sources include search and retrieval features, so one could assume that this makes them a safer candidate for in-house collections. This is not automatically true and is definitely worth talking through some of the common problems that can lead to incomplete or altered retrievals. The first thing to realize is that these systems were not designed to comply with legal discovery requests as found in the United States. The search and retrieval functionality was added to support a business user seeking to find a few specific email or an IT administrator restoring a larger set of items that were either lost or need to be transferred to a new user. Both of these scenarios stress quick, simple search without needing to verify the accuracy or integrity of the search or restoration.

Yesterday, Marilyn Gladden introduced the eDiscoveryJournal Bootcamp Program. We are excited to bring pragmatic, in-depth, and actionable advice to eDiscovery professionals in an intimate environment. The current boot camp series covers some great topics: selecting an eDiscovery service provider; BYOD and mobile forensics; Legal Hold; and Predictive Coding. In this article, I would like to go a bit deeper into the Predictive Coding boot camps.