Artificial Intelligence (AI) For eDiscovery Services

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Artificial intelligence (AI) may not be rendering any jobs obsolete in the legal field — they definitely can’t consult or build a discovery-to-trial strategy — but they can be used to improve a number of different legal tasks. In particular, the process of eDiscovery can be made both better and faster with the application of some advanced algorithms and data analysis. Here are three of the ways that AI takes eDiscovery services to a whole new level:

1. Using AI to Conduct Narrow Searches of Large Data Sets

If there’s one area in which AI truly shines, it’s in big data mining. AI can leverage the superior resources of a cloud-based infrastructure to comb through and analyze large data sets, looking for narrower and more relevant information — and it can do it all while keeping the data safe and secure. The process of eDiscovery Services often require more information than is strictly relevant at the time; it can be very difficult to manually narrow down these exceptionally large sets of materials into something workable and usable. AI can be used to prioritize documentation based on the likelihood of relevance, so that the process of discovery can start within a narrow spectrum and branch out slowly, rather than having to incorporate all of the provided materials at once. It’s often the case in eDiscovery Services that the most pertinent information can be buried underneath large volumes of non-essential and only vaguely associated documentation.

2. Using AI to Automate Mundane, Routine, and Labor Intensive Tasks

In the past, paralegals and secretaries would be asked to summarize documents selected for discovery to speed up the review process for attorneys. The concept was that a single paragraph could help the attorney determine whether or not more time should be invested in reading the actual document. Attorneys generally billed more, so the time spent by the initial reviewer was considered a ‘savings’. These routine but labor intensive Discovery tasks, (especially eDiscovery due to the potential volume) don’t just slow down the process; they also make the process even costlier. For smaller firms without a lot of manpower on hand, the ability to automate these mundane tasks can make all the difference. Advanced AI algorithms can even use OCR and extracted document text to determine relevancy across millions of documents after attorneys review just a few. This kind of AI works best when Continuous Active Learning (or CAL) is used, which allows reviewers to re-train the algorithm for increased accuracy.

3. Using AI to Perform eDiscovery Services Faster and More Thoroughly

AI can be used to radically reduce the sheer volume of discovery documents that need to be sorted, filed, cataloged, and analyzed — thereby significantly reducing the amount of time that eDiscovery takes. Advanced technology features such as data reduction strategies and de-duplication make it easy to drill down to the most significant documents without potentially losing anything of importance or relevance. AI can be used with eDiscovery Services to automatically cluster documents by content type, highlighting information of potential importance, and trimming away any superfluous materials that have no relevance to the matter at hand. In other words, artificial intelligence paired with the right review platform optimizes the entire process of eDiscovery Services on all levels, providing for a more manageable and more useful experience for any legal firm.

Are your current eDiscovery services draining your firm of hours? Improving upon your technology could be the answer to providing better service even faster to your clients — and reducing the strain on your employees and partners.

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