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Part III: Optimizing eDiscovery with AI — Overcoming Scaling Challenges

In previous blog posts, we discussed how large language models (LLMs) can be used in eDiscovery and the importance of data security , keeping costs low, and transparency of data analysis . One of the novel risks introduced by...more

Part III: Navigating AI Success Metrics – Bringing It All Together

In Parts I and II, we tackled the basics of applying Recall, Rejection, and Precision in evaluating AI’s performance on document and conversational datasets. Part III brings these threads together for legal professionals...more

Leveraging Generative AI in eDiscovery: The Art and Science of Prompt Engineering

The use of generative AI in eDiscovery is opening new avenues for efficiency and precision. But, as is often the case with powerful tools, the devil is in the details. A significant part of those details? Prompt engineering....more

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