Artificial Intelligence

Artificial Intelligence (AI) is an incredibly important tool for eDiscovery. 

There are a number of different ways to use AI to ask questions of your data:

• Data categorization 
• Data summaries
• Document coding

In eDiscovery, AI has two different ways to be utilized: either generative AI (newer) or machine learning. In machine learning (which used to be called Continuous Active Learning or Technology Assisted Review), the system improves its understanding of the data through ongoing user feedback. This was the more traditional way to use AI, and is still available for use.

The most common use of Generative AI in eDiscovery is when a legal team creates a brief outlining the case context, relevancy criteria, and provides examples of relevant and irrelevant documents, and then the system will prioritize documents based on their relevancy scores. 

Note that quality document text is a critical component to quality AI results. Data sets may need to be processed with basic keyword filters, to remove duplication, and or ensure readable text. 

Outside of eDiscovery, Avansic often uses generative AI to review export reports, create questions for deposition preparation, compare thousands of images for changes, locate suspicious activity in user logs, and much more.

We have several blog posts & webinars on AI in eDiscovery, please see our Resources page. 

 

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