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Software Technology-Assisted Review Data Management

U.S. Legal Support

How to Choose the Right Trial Technology Partner

U.S. Legal Support on

In 2025, technology holds a well-established place in the legal profession. And even though there are headlines about emerging tech itself being on trial, the pros of Artificial Intelligence (AI), Machine Learning (ML), and...more

EDRM - Electronic Discovery Reference Model

Breaking New Ground: Evaluating the Top AI Reasoning Models of 2025

The year 2025 has brought us closer than ever to the dawn of artificial general intelligence, with AI systems now capable of reasoning on par with humans—or even surpassing them in specific domains. In this article, I examine...more

EDRM - Electronic Discovery Reference Model

Understanding GenAI Response Limits: What Every Legal Professional Should Know

As some readers will know, we have spent many hours working with Generative AI-based Large Language Models (“LLMs”) like GPT (aka ChatGPT) and Claude. We use both in our DiscoveryPartner® software to summarize and synthesize...more

EDRM - Electronic Discovery Reference Model

Designing Generative AI for Legal Professionals: Key Principles and Best Practices

Generative AI is transforming the landscape of legal technology, offering unprecedented opportunities to automate tasks and streamline complex workflows. Yet, designing AI tools that truly meet the needs of legal...more

EDRM - Electronic Discovery Reference Model

The Next Five Years in eDiscovery: Market Size Forecast for 2023-2028

ComplexDiscovery Editor’s Note: Within this report lies a nuanced forecast of the eDiscovery market, suggesting its course from 2023 to 2028. While the detailed analysis meticulously outlines the growth in aggregate and...more

Farrell Fritz, P.C.

TAR 1.0 vs TAR 2.0: Is the Newer Version The Better Version?

Farrell Fritz, P.C. on

Technology-assisted review (“TAR”) is a powerful tool used to streamline document review. Because data volume is constantly increasing, TAR was designed to leverage human categorization of documents (i.e., responsive/not...more

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