Defensible Data Reduction

Defensible Data Reduction

Utilizing Search Expertise to Lower Document Review Costs and Risks

How prevalent is non-relevant material in your review population? Is your case team spending a majority of its time reviewing non-relevant documents that were not culled out of the review population? Have potentially relevant documents been excluded from your review? How do you know?

Improper use of keyword search terms for data reduction can simultaneously result in under-culling – which results in more time and cost reviewing non-relevant information – and over-culling, at the risk of incurring sanctions.

XLS brings a disciplined, iterative approach, including sampling and technical, statistical and linguistics expertise, to dramatically improve the efficacy and defensibility of document reduction efforts early in the process. XLS search experts work closely with legal teams and enable clients to:

  • Minimize hosting and review costs by culling out more non-relevant information
  • Review a smaller, richer set of documents – which leads to a more expedient and informative case strategy and path to production
  • Ensure a better search term negotiation with opposing counsel utilizing statistical data and firsthand knowledge of the quality of your review population
  • Efficiently fulfill legal obligations by utilizing a principled, well-documented approach, expertise and statistically valid measurements of results
  • Focus on your legal and subject matter expertise – not search term logistics

We work closely with subject matter experts throughout the process to test, refine and validate the efficacy of search terms, and provide statistically valid measurements of the reliability and quality of the final results of the search term culling effort, along with a detailed audit trail that records all key inputs, decisions and results.

How a Fortune 50 Corporation Achieved 56% Greater Reduction in Documents – and Twice as Relevant a Document Population – by Utilizing Search Expertise

A Fortune 50 corporation faced with a large document collection relied on XLS’ search expertise to defensibly reduce the volume of its review population. The use of search expertise, sampling and an iterative process resulted in:

  • Reduction of the document collection by 80%
  • A final review population that was 56% smaller and 50% richer in relevant material than the results of the initial search term list would have achieved
  • Statistical data and firsthand knowledge of the quality of the review population that the outside law firm was able to use to achieve an optimal outcome in search

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