AI in eDiscovery: White Paper

▤ Summary

This sense of hollow promises was added to recently when a former employee of Hanzo filed a lawsuit claiming that “the company would manually input the investigation results into its customer portal to create the false appearance that they were generated by artificial intelligence,” because the company’s AI platform was not functioning, [while] “senior Hanzo officials repeatedly warned the plaintiff not to tell clients about the manual investigations.” So if they were faking AI results, does that mean everyone claiming they’re using it in eDiscovery is lying? These 3 applications of AI do not have the capabilities to understand the nuances of human speech dynamics (Morphology, Phonology, Accents, Colloquial terms and Vernacular, Heteronyms). “So, these current uses of AI in legal (TAR, NLP, ASR) will have greater usage in other areas where automation is governed by rules and speeds up the process for more administrative tasks. The world of technology is constantly changing (for example, it wasn’t so long ago that Netflix was sending DVDs to people through the postal service) so it can be hard to predict what the future may hold for AI. A similar use of entity relationships could prove very useful in helping attorneys make connections in large datasets that would be extremely difficult with purely manual review.

▦ Linked Companies

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