Challenges and Considerations in AI eDiscovery

Challenges and Considerations in AI eDiscovery

Explores common challenges such as data privacy concerns, model accuracy, and integration with legacy systems. It also covers strategies for addressing these issues for successful adoption. Useful for teams planning an AI eDiscovery project.