Catalyst Touts its Insight Predict eDiscovery Platform

February 8, 2013

Another eDiscovery company purports to bring efficiency to data with software that can sort the crucial from the disposable. Catalyst promotes their Insight Predict predictive ranking tool:

“Predictive Ranking uses artificial intelligence to enhance human review. By enabling your review team to start with the most relevant documents first, your entire workflow is more focused and efficient. That translates to greater speed, lower risk and reduced discovery costs–and a lot fewer documents to review.”

Sounds familiar. Catalyst also offers yet another predictive solutions white paper, “Predictive Ranking: Technology Assisted Review Designed for the Real World.” The description explains:

“Most articles about technology assisted review (TAR) start with dire warnings about the explosion in electronic data. In most legal matters, however, the reality is that the quantity of data is big, but it is no explosion. The fact of the matter is that even a half million documents—a relatively small number in comparison to the ‘big data’ of the web—pose a significant and serious challenge to a review team. That is a lot of documents and can cost a lot of money to review.”

It goes on to insist that Catalyst’s solutions, of course, will save you much of that money. Our question– can we use this system to predict which company in the predictive analytics game is the best? It can be really difficult to tell. We’re still waiting for the shooting star in this field.

Catalyst began in the mid-90s as part of a major law firm, building their own secure, web-based document repositories. In 2000, the company launched as an independent contender in the eDiscovery field. The company is headquartered in Denver, Colorado.

Cynthia Murrell, February 08, 2013

Sponsored by, developer of Augmentext


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