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Data Literacy: A Critical Skill for Legal Professionals

Colin S. Levy

Leveraging Litigation Analytics Litigation is data-intensive, and making sense of this data is crucial for managing risks effectively. GCs and their teams should begin by gathering and analyzing historical litigation data, not as a one-time exercise but as an ongoing practice.

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Court Finally Rejects “Discrimination” Lawsuit Against YouTube–Divino v. Google

Eric Goldman

This long-running lawsuit started in 2019. When I first blogged this case in January 2021, I wrote: This lawsuit, like many others before it, claims that UGC services like YouTube commit illegal discrimination based on how they moderate content.

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Online Marketplace Defeats Lawsuit Over Murder–Roland v. Letgo

Eric Goldman

This lawsuit seeks to hold Letgo liable for the murders. Indeed, it’s troubling to see plaintiffs litigating over a service’s efforts to “verify” users, because we generally want services to undertake authentication and verification services when they enhance site trustworthiness and safety. Negligence.

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Everything You Should Know About AI Legal Tech

Percipient

Machine Learning Machine learning helps AI get smarter and more effective over time by learning from historical data. For instance, machine learning can predict litigation risks based on similar cases, identify trends that might impact a client, or flag unusual clauses in contracts that might need extra attention.

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Litigation Finance: An Evolving Landscape

The North Carolina Journey of Law and Technology

Understanding Litigation Finance Litigation finance is when a third-party invests in a lawsuit in hopes of sharing in the profits of a successful verdict. litigation finance companies exist. billion in capital to litigation matters. billion in capital to litigation matters.

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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. Predictive Coding: Based on a collection of training data, this approach uses machine learning algorithms to forecast the relevance of texts.

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Court Doesn’t Expect YouTube to Moderate Content Perfectly–Newman v. Google

Eric Goldman

This is one of several ideologically motivated lawsuits against YouTube for allegedly engaging in “discriminatory” content moderation. Thus, I always felt the litigation ploy acted as an adverse admission by the plaintiffs. After 5 tries, the Divino LGBTQ lawsuit finally failed last month.

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