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The New Wave of Concept Search Tools

By George Socha
October 05, 2003

Although the concept of concept searching has been around for at least 2,000 years in philosophical circles and was first realized in the software world in the 1970s, it is making big news in today's electronic discovery and automated litigation support world. Over the past year, a series of vendors have introduced software solutions they claim can take us far beyond the results we get using tools built around searching full text or coding data using key words, strings of text and Boolean search algorithms. Whether it is through mimicking the thought processes of high-level aquatic mammals, developing libraries of semantically and geographically related words and terms or displaying documents as masses of dots within sprays of bubbles, these software programs, we are told, are the automated litigation support equivalent to Big Blue, the computerized chess champion.

Are they? Yes ' and no.

Yes: The electronic discovery market has been growing at a stunning rate ' probably doubling each year since 1999 and likely to continue to do so for the next couple of years. That growth means that we are starting to have to deal with cases where the potentially relevant data is the equivalent of tens, or even hundreds, of millions of pages of documents. We cannot work through that volume of data using the methods developed in the 1980s and 90s ' scanning, manual coding and then computerized searching using key words, string searches or Boolean algebra. Even in a bet-the-company case, only the rarest of parties can bear the costs of sending all that data through all those processes. And even then, we just cannot wait the time it takes to complete those steps. The methods of the late 90s ' capturing electronic data electronically, converting it to a more readily searchable electronic form and then searching it using key words, etc. ' are better but still not good enough. Too often, that means sitting 50, 100 or more attorneys before computers and asking them to review all the documents online. Even with culling based on hash codes and similar criteria, the volume of data can still be too great for a meaningful and timely human review.

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