How can artificial intelligence improve efficiency in Relativity?

Artificial intelligence can enhance efficiency in Relativity primarily through predictive coding and analytics tools. These advanced tools utilize machine learning algorithms to analyze vast amounts of data quickly and accurately, identifying patterns and relationships that might not be easily noticed by human reviewers. Predictive coding allows for the automated classification of documents based on relevance, significantly reducing the time and effort required for document review during legal discovery processes.

By leveraging these AI capabilities, legal teams can streamline their workflows, prioritize important documents faster, and ultimately expedite case resolutions. This leads to a more efficient and cost-effective approach to handling large-scale legal matters, enabling teams to focus on strategic analysis rather than manual, repetitive tasks.

The other options, while potentially beneficial, do not encapsulate the primary ways in which AI improves efficiency in the context of data management and document review in Relativity.