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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 I: Optimizing eDiscovery with AI— Ensuring Data Security While Controlling Costs

In the opening segment of our three-part series on optimizing eDiscovery with generative AI, we explore the pressing need for data security and cost-effective strategies in legal tech. The shift towards larger datasets has...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

Part I: Navigating AI Success Metrics – Precision and Recall in Email and Document Analysis

In our first post, we will dive into the world of email datasets. Emails are a critical component of business communication, and AI plays a significant role in managing, sorting, and even responding to them. We will explore...more

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