With all the buzz about Technology Assisted Review (“TAR”) lately ( also known as predictive coding tools, such as ReviewSmart, Equivio’s Relevance and kCura’s Relativity Assisted Review), I noticed it’s often large companies and big law firms who are asking about it. You may be saying, “well of course, they are the ones with the huge document productions.” Small to medium size firms should take note – TAR can be an unbelievably useful tool for these firms, especially those who typically deal with multiple litigations in the 50k-150k...
Judge Peck’s recent opinion in Da Silva Moore highlights technology assisted review’s growing importance in the ediscovery toolkit, and offers a helpful roadmap for applying this process in future cases.
After 16 years, Lighthouse Document Technologies will now be called Lighthouse eDiscovery. The updated brand also introduces the SmartSeries of services – a set of services designed to leverage technologies and expertise to eliminate up to half of a client’s spend on ediscovery.
Although Technology Assisted Review (“TAR”) has been discussed at length over the last 14 months, many folks are still just getting started with the technology. As a computational linguist with an ediscovery background, I thought I would share my top five tips on getting the most out of technology-assisted review.
Many January blog postings focus on the 2012 predictions. Rather than further opining on what several brilliant writers (here, and here) have already discussed—I thought I would skip the predictions this year. I’m not sure that clairvoyance is my strongest skill anyway.
Instead, this blog will focus on what clients should demand from their service providers in 2012.