eDiscovery

Artificial Intelligence

We use generative AI or machine learning to help you ask questions of your data for:

  • Data categorization 
  • Data summaries
  • Document coding

Machine learning is the more traditional use of AI (it used to be called CAL or TAR) where the system improves its understanding of the data through ongoing user feedback. 

But 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. 

Quality document text is critical component to good 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.

Read our AI-related blogs:

  • The Litigation Data Multiplier

  • Ethics of Generative AI
  • The New Standard for AI Review: Defensible by Design
  • The Curious Case of the Quiet Attorney
  • and more ...

Interested in Avansic's AI pricing? Contact Us. 

 

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