Technically Legal

MARCH 3, 2021

The history, current state and the impact of Artificial Intelligence on the Electronic Discovery Reference Model (EDRM) is the topic of conversation with George Socha. It is a model that outlines the stages of the Electronic Discovery process. What is the EDRM?

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Legal Tech Monitor

FEBRUARY 5, 2024

Beagle says that, by leveraging advanced technologies such as machine learning and natural language processing, it can significantly reduce the time and costs associated with first-pass e-discovery reviews. Beagle’s cofounder and CEO, Sergey Demyanov , was formerly manager of machine learning at Snap Inc.

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MatterSuite

OCTOBER 27, 2023

Here are some of the key technologies shaping the legal industry: Artificial Intelligence (AI) and Machine Learning Legal Research: AI-powered platforms, like ROSS, use natural language processing (NLP) and machine learning. This reduces manual labor, minimizes errors, and lowers costs associated with discovery.

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Lawmatics

JANUARY 23, 2024

Contract analysis: AI technologies, including natural language processing (NLP) and machine learning, are used to analyze and review contracts to identify key terms and potential risks and help ensure compliance. AI helps automate and accelerate the e-discovery process by quickly sorting through large datasets.

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Lawmatics

DECEMBER 27, 2023

With emerging new technologies like artificial intelligence (AI) and machine learning, many people have started considering what legal software might mean for the legal profession’s future. 5 Generative AI Generative AI is a tool that is still in its infancy, and consequently, the more we learn, the more there is to understand.

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Legal Tech Monitor

JULY 21, 2023

It uses sophisticated search, analytics, and machine learning tools in electronic discovery and investigations. It markets its abilities and experience in solving unique and solve “impossible” complex data problems. Redgrave employs sophisticated information retrieval.

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TechLaw Crossroads

JULY 21, 2023

It uses sophisticated search, analytics, and machine learning tools in electronic discovery and investigations. It markets its abilities and experience in solving unique and solve “impossible” complex data problems. Redgrave employs sophisticated information retrieval.

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