Extract from George Socha’s article “All In On AI”
For over a year I have been writing about the power AI can bring to eDiscovery. Today’s post pulls those materials together in one place, giving an overview of the AI content discussed so far.
I started by looking at some of the underlying challenges in 7 Signs It’s Time to Upgrade Your eDiscovery Solution. I laid out an AI framework and potential benefits that can accrue from the effective use of AI, first in Legal AI Software: Taking Document Review to the Next Level, AI in the Legal Sector – the Obvious Choice, and then in After 15 Years, Has the eDiscovery EDRM Model Been Realized?
I then turned to specific challenges and how you can use AI to address them. These challenges include:
• Content requiring translation: How to find content in need of translation, translate that content, and work with the results of the translation.
• Images: How to make the substantive content of image files such as photographs searchable.
• Visualization: Presenting eDiscovery content and the context around that content visually instead of just in rows and columns.
