e-discovery Machine learning Practice management 
LawNext podcast
AUGUST 6, 2024
For at least two decades, artificial intelligence has been used in e-discovery to help surface and prioritize review of potentially responsive documents from large document collections. So how effective is generative AI for document review in e-discovery? Is it a replacement for traditional TAR or a supplement?
ABA TECHSHOW
FEBRUARY 28, 2025
Legion AI Associate We are building AI agents that draft discovery and motions for litigation lawyers, allowing lawyers to customize each document in their own voice and generate work product on their own template. Using Large Language Models and Geometric Machine Learning, our platform forecasts litigation outcomes at scale.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Legal Talk Network
AUGUST 15, 2023
Cut Down on Discovery Time Sifting through discovery is a big undertaking, with most cases taking at least several months to complete. The need to respond quickly to discovery requests promptly adds even more pressure. Here is a short list of best practices to help you get the most from AI. Some tools share information.
Colin S. Levy
MAY 21, 2024
According to a report by the American Bar Association, over 80% of large law firms in the United States have adopted some form of legal technology, ranging from AI-powered document review systems to cloud-based practice management platforms. Across Europe, legal tech adoption varies by country but is steadily gaining traction.
Colin S. Levy
OCTOBER 1, 2024
From practice management software to contract lifecycle tools and e-discovery applications, technology streamlines key activities. Artificial intelligence can handle high-volume tasks like contract review, while virtual assistants manage routine requests.
MatterSuite
OCTOBER 27, 2023
E-discovery solutions , a significant part of legal tech, were estimated to be a multi-billion-dollar industry. The global e-discovery market size was projected to reach $17.32 Predictive Analytics: Machine learning algorithms examine historical case data to predict legal outcomes.
LawNext podcast
MAY 13, 2024
These new features include a framework for building, training and deploying bespoke machine learning models as secure APIs for customers; integration of Amazon Bedrock for custom copilot development using a range of commercially available large language models; and other features.
Expert insights. Personalized for you.
40 
Let's personalize your content