Extract from Jim Gill’s article “Why Law Firms Should Consider Using AI Tools Before Review”
The use of automation, analytics, and Artificial Intelligence (AI) in the legal process is something the eDiscovery industry has been talking about for many years now, and one might be inclined to think the rate of adoption is pretty high at this point. Which is true to an extent.
“The 2021 State of AI and Technology Adoption in eDiscovery” report, published by IPRO, ZyLAB, and ACEDS shows that when it comes to non-AI automation tools like deduplication and DeNISTing there is an 87% adoption rate, and when it comes to Data Processing and OCR, it drops to 74% (side note – who are the 13%-26% still not doing these things!).
For standard analytics available in most eDiscovery solutions, the highest adoption rates belong with entity search (77%), basic entity extraction (61%), and foreign language extraction (61%).
And with proactive intelligence tools common in eDiscovery, you see a high adoption rate of the machine learning driven Technology Assisted Review (TAR) at 81%, as well as the related techniques of topic modeling (63%) and concept clustering (68%). Even more advanced options like relationship analysis (61%) and pattern analysis (49%) are finding their way into the eDiscovery toolkit.
