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Data Literacy: A Critical Skill for Legal Professionals

Colin S. Levy

Data literacy isn’t a buzzword; it’s a fundamental skill set that empowers legal professionals to handle complex challenges like data privacy compliance, AI bias assessment, and contract analytics. Leveraging Litigation Analytics Litigation is data-intensive, and making sense of this data is crucial for managing risks effectively.

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Law Firm Predictive Analytics: Use Cases And Applications

Clio

This is where law firm predictive analytics come to the rescue. Predictive analytics give legal professionals the power to forecast outcomes and shape strategies with greater precision and confidence. What is predictive analytics? What is predictive analytics for law firms? Come let us show you around and book your demo.

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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. As with all of my live blog post, I publish as a session finishes, so please forgive typos and misunderstandings of meaning. In sum, modern systems allow not just collecting but also analyzing data.

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OpenText named a Leader and Outperformer in the GigaOm Radar for E-Discovery

OpenText

Lawyers need automation and analytics to identify key facts faster, spot patterns that would be missed manually, and streamline operations and workflows. Legal teams are under increasing pressure to deliver timely and defensible responses to litigation and regulatory demands.

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AI in Litigation and Case Management: Transforming the Legal Landscape

Bigfork Tech

In this blog post, we’ll explore the role of AI in litigation, the benefits of e-discovery, and its overall impact on law firms and clients. Solutions like natural language processing (NLP) and machine learning algorithms help lawyers manage large amounts of information and complex case details efficiently.

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Elevate investigative analytics and derive deeper insights

OpenText

Managing complex investigative analytics As businesses and investigations grow, so does the amount of data they generate which must be included in any analysis. They must also streamline their analytics workflows and improve collaboration internally and externally. Locations (places, postcodes, etc.),

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A Guide for Law Firms: Optimizing Legal Outcomes with Advanced eDiscovery Techniques  

Lineal Services

Learn how to improve legal outcomes as you tackle the challenges of acquiring electronic evidence and understand the disruptive effects of AI and machine learning on eDiscovery. These include text analytics, predictive coding, data mining, and computer-assisted review.