Relativity Active Learning
Description
Manual document coding is very time consuming during the legal review process
Detailed example
Predicted pertinent documents
AI / analytics pattern
Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relationships.
Automation level / stage
c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.
Expected benefit
Enhance eDiscovery process efficiency for consumer protection and competition investigation and litigation
Audit / financial statement impact
Does not produce an output that serves as a principal basis for decisions or actions with legal, material, binding, or significant effect on any of the individuals or entities identified in OMB-25-21.
Controls / human review
ATO: Yes; PIA: https://www.ftc.gov/system/files/ftc_gov/pdf/February-2025-Relativity-PIA.pdf