Last month we were among the first ediscovery service providers to add Equivio’s Zoom to our service offerings. So far, it has been a fantastic augmentation to our ReviewSmart (Lighthouse’s proprietary Technology Assisted Review) product. Our internal experts, led by a lawyer with a Master of Science in Computational Linguistics, can leverage Zoom’s capabilities to dramatically reduce our clients’ review costs while maintaining defensibility. In fact, we are currently using it to reduce a client’s costs in a large multi-language matter.
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.