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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. The post A Look at Client-Side AI-Powered Legal Spend Analytics Tools appeared first on Prism Legal.

Analytics 130
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Top 5 eDiscovery Data Transformation Techniques

Lineal Services

Data Analysis: Leveraging Advanced Techniques The analysis phase involves applying statistical methods and machine learning algorithms to identify patterns or trends that inform case strategies. She is admitted to practice in New York and New Jersey.

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Navigating eDiscovery in the Chat and Collaboration Era

Lineal Services

Enhanced Search Capabilities : Leveraging AI and machine learning, chat-specific eDiscovery tools offer powerful search functionalities, enabling legal teams to pinpoint relevant data with precision and speed. She is admitted to practice in New York and New Jersey.

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The Law Library of Babel: Exploring the Infinite Dimensions of Law and Technology

Colin S. Levy

As a representative from Lex Machina, a legal analytics company, took the stage, I had no idea that the journey I was about to embark upon would lead me to the very frontiers of human knowledge and understanding. Bloomsbury, 2009. Perspectives from Analytical, Phenomenological, and Indian Traditions. William Morrow Press, 2009.

Law 103
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The Art and Science of Data Reuse: Unlocking the Potential of Discovery Datasets

Lineal Services

Data Analysis: Employing statistical methods and machine learning algorithms to analyze the data and uncover patterns or trends. For example, ensuring you are capturing traditional sources like email and e-docs alongside chat and structured data outputs will make for a robust pool of data and better insights.