Ever since Relativity announced their new GenAI aiR suite of tools based on OpenAI's GPT-4 model, there has been plenty of speculation on how these new tools will work and how we can best incorporate them into our everyday eDiscovery practices. Today we will be looking at some of the emerging use cases for the first of this suite of tools - Relativity's aiR for Review. 

How can aiR for Review be used?

• Boosting efficiencies in review
  • Responsiveness review 
  • QC human review 
• Train your Active Learning model 
• Replacing issue coding 

Boosting efficiencies in review:

aiR for Review leverages a 'bottoms up' approach, meaning that it analyses each document as opposed to mass glazing over a group of documents. This means that the tool is ideally suited to supporting reviewers with your document review processes. You can choose how you utilise the tool, but the two most common uses can be found below...