Simplify complex reviews with Everlaw's Clustering

Available On Demand

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Simplify complex reviews with Everlaw's Clustering

Available On Demand

Overview

Legal professionals face many challenges in today's document review landscape. Client data is only growing (especially with different kinds of emerging data types) and tackling large and complex datasets is nearly impossible with manual and linear human review. With Clustering, Everlaw’s unsupervised machine-learning solution, legal teams can easily navigate large datasets with cutting-edge AI technology that is seamlessly integrated into an all-inclusive, cloud-native platform.

Join Change Chang, Associate Product Lead, and Tom McKechnie Ward, Customer Success Manager, to learn how Clustering can help reduce the risk of human error in document review whilst enabling to efficiently and successfully find key pieces of evidence. They will be discussing:

  • Clustering’s unique capabilities
  • Top use cases
  • And, more!


Presenters

Presenter
Tom McKechnie Ward
Senior Customer Success Manager
Everlaw
View Biography
Presenter
Changie Chang
Associate Product Lead
Everlaw
View Biography