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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.

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

Ron Friedmann

These disruptors started in 2009 with GFC and now, with COVID, the change is happening even faster. Legal AI contributes by using natural language processing to convert narrative to structural data, machine learning to analyze large volumes of data, and mixing and matching benchmarking data. Arun sees the same drivers at work.

Analytics 130
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The Law Library of Babel: Exploring the Infinite Dimensions of Law and Technology

Colin S. Levy

The platform itself was a marvel, a testament to the incredible power of artificial intelligence and machine learning to transform the way we approach the law. Bloomsbury, 2009. Oxford University Press, 2009. William Morrow Press, 2009. Philosophy of Mathematics: 1. Doxiadis, Apostolos, and Christos Papadimitriou.

Law 116
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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.

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Understanding the Assignment: Technology Alignment with Legal Strategy

Lineal Services

Advancements in conventional keyword search, continued evolution of machine learning modeling, and more cutting edge GenAI & LLM tools require radical alignment of all parties involved in a legal representation. However, discovery data volumes and types have changed so fast (e.g.

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Back-to-Back: Lineal Wins the Relativity Innovation Award for Best Innovation Solution Provider

Lineal Services

Next-generation AI machine learning is informed by a human expert to catch indicators of privilege with uncanny accuracy and continues to improve iteratively with subsequent use. LPAi begins by analyzing communication data (i.e., law firm domains, the role of the sender, keywords, etc.)

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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.