CASE
STUDY
A Language-Based Analytics Case Study
Reviewing Highly Technical Documents
Challenge
Our client was faced with the challenge of strategically employing expert witnesses to review documents related
to a highly technical intellectual property matter. The relevant time period spanned 20 years thereby resulting in
an extraordinarily large document collection exceeding five million documents. It was imperative that the expert
witnesses only review documents related to their specific expertise, and that the technical documents were identified
early in the lifecycle and in a cost-effective manner.
Approach
RenewData team was retained to ensure that the expert witnesses’ time was spent reviewing only the documents
that were pertinent to his expertise. As such, the RenewData consultants first worked with each expert witness to get
an understanding of how the language germane to the issues of the case correlated to his expertise. The RenewData
consultants then worked with outside counsel to construct Logical Expressions (LEXs) encompassing this key language.
Outside counsel then used RenewData’ keyword development service and its synonym ring process to leverage these
LEXs (Boolean queries) in order to identify documents containing only the subject matter that was of interest to each
expert.
Outcome
The RenewData workflow proved to be very effective because of the highly technical nature of the identified
language for each expert as well as the impact this had on the need for Logical Expressions. Thus, the number
of Logical Expressions, the language included within each one, and its proximity connectors were each relatively
limited. The resulting synonym ring analysis was also limited making the process of identifying relevant language
require minimal effort.
As a result, the RenewData workflow identified the potentially relevant documents unique to the individual expertise
of the expert witnesses rapidly, with minimal cost, and with a high level of precision.
By collaborating with the expert witnesses to define identified documents specific to their expertise, the experts’
attention was focused only on documents with a high likelihood of being relevant and specific to their individual
expertise. Accordingly, the expense to the client was a fraction of what it would have traditionally cost to employ
expert witnesses to review documents, and the process of assessing this material for each was conducted in a fraction
of the time.
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