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A Look at Client-Side AI-Powered Legal Spend Analytics Tools

Ron Friedmann

This is a live blog post of a Legal Value Network virtual webinar, A Look at Client-Side AI-Powered Legal Spend Analytics Tools. These disruptors started in 2009 with GFC and now, with COVID, the change is happening even faster. Prior to his arrival, there was not a single system to track legal spend. Mentions Pursuit for RFPs.

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Top 5 eDiscovery Data Transformation Techniques

Lineal Services

Best practices in data cleaning for eDiscovery include: Automation Tools : Employing software that can automatically detect and correct errors in data to save time and reduce human error. Trend Analysis : Analyzing data trends over time to predict future occurrences or to understand past behaviors within a dataset.

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Making the Leap: Transitioning from Relativity Server to RelativityOne

Lineal Services

By shifting to RelativityOne , legal teams empower themselves to focus on strategic tasks rather than IT challenges, creating more time for impactful, data-driven decisions. Unlike Relativity Server, it removes hardware limits, allowing integration of advanced tools such as AI workflows and analytics. Why the Shift?

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Unveiling the Hidden Layers: The Critical Role of Metadata in Chat and Collaborative Data Assessment 

Lineal Services

Slack, Microsoft Teams), and any other digital channels that support real-time or asynchronous messaging. Journey of a Message: Status Indicators Metadata tracks a message’s journey from “sent” to “received” to “read”, providing transparency and peace of mind for users. messages posted by a bot), and timestamps.