Interesting article looking into the changes to eDiscovery that Artificial Intelligence (AI) will bring.

There are a number of suggestions, some which appear to be here almost today, rather than 2048:

  • eDiscovery teams that are more machine than human, utilising AI to make decisions on documents - although they will never replace the human entirely, more automation and more automated decisions seem to be in the offering.
  • A continuing blurring of the demarcation between personal and work, so that devices, data and systems become ever more entwined.  This could lead to more interesting challenges on the right of access to this data given privacy and data protection concerns.
  • Automated filing and processing of data as it is created/edited using predefined algorithms to ensure that when dealing with a request the relevant documents are predefined, located and accessible, as opposed to having to process a large volume of data to find them. 

We certainly see some of these happening already, especially in respect of AI and Technology Assisted Review.  How this continues to improve and the use of continuous active learning will continue to impact the way documents are reviewed.

What is crucial is to understand the processes, the benefits and be able to justify when and how they are used.  These technologies should also be at the forefront of corporate minds as they look to develop and improve their data infrastructure.