Now is the time to monitor new industry and court developments, evaluate investment opportunities with providers offering pre-built or bespoke models, and discuss potential use cases with leadership teams.

Using solutions powered by artificial intelligence (AI) to assist with document review is now an accepted practice in the legal community. With the overwhelming amount of data to review for a case or investigation, practitioners continue to look for defensible ways to reduce datasets.

Gone are the days of manual review or using keyword searching alone to find responsive documents and cull datasets. Review teams now rely heavily on single and continuous active learning tools, concept analysis, clustering, prioritized review, and solutions that can detect similar documents both textually and conceptually. Depending on the project, combination of tools may yield the best results over singular application.