AI Use Cases

AI Use Cases You May Not Know Exist for eDiscovery: eDiscovery Best Practices

Predictive coding gets all the press, but this article from KLDiscovery discusses other AI use cases for eDiscovery you may not know about!

Their article (AI Use Cases for eDiscovery You May Not Know, available here) discusses the challenge of wondering how to differentiate which AI technology has been proven and practically applied to eDiscovery, and which is speculative and unproven. The good news is there are several practical applications of AI technology that have been proven to be effective in streamlining eDiscovery workflows for years. Here’s one of them:

Natural Language Processing (NLP)


Every document collection has a unique collection of locations, events, key people and organizations, product names, and other characteristics which are the entities important to the case. Natural Language Processing (NLP) is language-based AI that enables you to gain insights into your document collection by analyzing it to identify the entity categories, then visually cluster documents referencing the same entities, allowing you to isolate and retrieve relevant information or filter non-relevant material quickly.

So, what are several other AI use cases for eDiscovery you may not know about which are in use and proven today? You can find out by clicking on KLD’s article here. It’s just one more click! It takes real intelligence to know which artificial intelligence use cases can streamline your eDiscovery workflows! 😉

So, what do you think? What AI use cases for eDiscovery is your organization using? Please share any comments you might have or if you’d like to know more about a particular topic.

Disclosure: KLDiscovery is an Educational Partner and sponsor of eDiscovery Today


Disclaimer: The views represented herein are exclusively the views of the author, and do not necessarily represent the views held by my employer, my partners or my clients. eDiscovery Today is made available solely for educational purposes to provide general information about general eDiscovery principles and not to provide specific legal advice applicable to any particular circumstance. eDiscovery Today should not be used as a substitute for competent legal advice from a lawyer you have retained and who has agreed to represent you.

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