The AI Trust Test in eDiscovery

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We are seeing increased optimism toward AI in eDiscovery. But as many platforms and solutions tout better and unprecedented results it’s still important to ask foundational questions about the technology: Can I trust the output? Is my data secure? Before getting those answers, it’s key to have a framework for evaluating trustworthiness and security in AI—one that is built on knowledge of AI capabilities and skepticism of hype.To guide through these considerations and help you develop your AI checklist, Law & Candor welcomes Fernando Delgado, Senior Director of AI and Analytics at Lighthouse. With our new co-hosts, Sarah Barsky-Harlan and Brooks Thompson, he answers some core questions he's hearing from clients and the market about validation, transparency, and results, all of which can help us navigate our next phase with AI.This episode's sighting of radical brilliance: For Success with AI, Bring Everyone On BoardThe Filing Cabinet: A Vertical History of InformationLearn more about the podcast and our guests on lawandcandor.com, rate us wherever you get your podcasts, and join the conversation on LinkedIn.

The AI Trust Test in eDiscovery

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The AI Trust Test in eDiscovery
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