In the latest blog post on the “nuts and bolts” of AI, Cimplifi discusses legal AI use cases that are proven in numerous eDiscovery projects!

Their post titled Current Proven Legal AI Use Cases (available here) discusses several current use cases to which AI is being applied today for legal that have demonstrated proven benefits. To identify them, we first need to define what we consider to be a use case that involves AI versus those that involve analytics or automation without AI. Because both machine learning and Natural Language Processing (NLP) are AI-related approaches, Cimplifi considers any current legal use case that uses either (or, in many cases, both) of these approaches to be a use case for AI in legal. Fair enough.

With that requirement set, Cimplifi goes on to discuss ten use cases for AI that have demonstrated proven benefits for legal teams. Here’s one of them:

Concept Clustering: Concept clustering leverages AI through machine learning and NLP techniques to automatically group similar concepts, items, or documents based on their characteristics or semantic similarities.

So, what are the other nine use cases for AI in legal? Find out here, it’s only one click! You’re probably already using AI in eDiscovery! 🙂

So, what do you think? Are you excited to learn about the nuts and bolts of AI? Please share any comments you might have or if you’d like to know more about a particular topic.

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