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Algorithmic Software Facilitated Price Fixing with Jonathan Rubin

July 3rd, 2024|Categories: Complex Business Litigation, ELP, Technology Law|Tags: , , , , |

Everyone knows that price fixing is against the law, chiefly Section 1 of the federal Sherman Antitrust Act of 1890. Competitors may not collude to set prices. However, there are relatively new price-calculation tools that some companies maintain take them out of the equation. With these tools, shared across an industry, firms do not have to directly swap private information with competitors. Instead, they feed their data to a third-party which uses algorithms to come up with prices. In this episode, we discuss what algorithmic or software-facilitated pricing is, what the law says about price collusion, how this new pricing mechanism violates the law, and recent developments in litigation. Our guest highly regarded antitrust attorney Jonathan Rubin, Partner and Co-Founder of MoginRubin LLP.

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Automation Comes to Our Litigation Nation with James Lee

June 20th, 2024|Categories: Complex Business Litigation, ELP, Technology Law|Tags: , , , , |

In this episode, we discuss litigation automation and another case in which innovators are using artificial intelligence to transform legal operations with guest James M. Lee, co-founder and CEO of LegalMation. Listen and learn more!

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Litigation Prognostication with Dan Rabinowitz

May 14th, 2024|Categories: Complex Business Litigation, ELP, Technology Law|Tags: , , , , |

In this episode, Dan Rabinowitz, Co-Founder and CEO of Pre/Dicta, discusses how the power of technology will make predicting litigation as commonplace as predicting the weather. He also shares insights into a study Pre/Dicta conducted that tested assumptions about judges based on their political affiliations. Listen and learn!

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Technology-Assisted Review: Sara Lord Interviews Data Scientist Lenora Gray

April 14th, 2024|Categories: ELP, Law Firm Operations, Technology Law|Tags: , , , , |

In this episode, Sara Lord of Legal Metrics speaks with Lenora Gray of Redgrave Data about eDiscovery in the practice of litigation and how it has been transformed by technology-assisted review tools – or TAR, and how these tools work. Every litigator needs to understand how eDiscovery tools work. They should be able to answer questions around the approach being used, why that approach was chosen, the reliability of the assisted review, what human oversight was implemented, and more. Listen and learn. PLUS: Watch the video for outtakes and bonus content!

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Transforming Legal Workflows with AI: Sara Lord Interviews Tara Emory and Wilzette Louis

March 17th, 2024|Categories: Complex Business Litigation, ELP, Technology Law|Tags: , , , , |

In this episode, Sara Lord of Legal Metrics speaks with Tara Emory and Wilzette Louis of Redgrave Data about the game-changing potential of robotic process automation and AI, and how these are not just futuristic concepts but practical solutions to today's legal challenges. As Tara notes, "Wherever your team is spending most of its time on manual tasks, that’s where you can further automate with technology and get the most benefit". Wilzette adds, "AI-driven automation technology can take different aspects of an entire workflow and bring them into a set of processes that a software robot can perform for you. Soon, adopting such technology will be a must for firms to compete". Listen and learn more!

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The Intersection of Generative AI and the Legal Profession with Niki Black

March 17th, 2024|Categories: Complex Business Litigation, ELP, Technology Law|Tags: , , , , |

In this episode, we discuss the current state and future of generative artificial intelligence and the practice of law with Nicole Black, attorney, legal tech journalist, and author. As she notes, "The legal field is one of the most likely to be impacted by generative AI because the technology can significantly replace certain workflows or assist with those workflows in impactful ways". Listen and learn more!

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Data-Driven Legal Guidance with Ed Walters

November 26th, 2022|Categories: ELP, Emerging Litigation & Risk, News|Tags: , , , , |

Today we’re going to talk about the weather. But only for a minute. Mostly we’re going to talk about the use of big data in the practice of law. There is a reason IBM acquired the digital assets of The Weather Channel, and it's not because they are climate nerds. They bought it to put weather data to work to “operationalize [the] understanding of the impact of weather on business outcomes.” Think about the economic impact of snowstorms, hurricanes, and even less dramatic weather conditions, or the impact on the durability of manufacturing or building materials as temperatures rise or fall outside the norm. While we all crave meteorological precision, we also crave precision when making legal and business decisions. Clients ask questions like these all the time: What is our case worth? What size award will we get? Where should I file? Will the judge grant summary judgment? Should I even bring this suit?  Lawyers will draw on experience to offer their best advice, providing ranges followed by caveats and usually preceded by the most lawyerly of lawyer answers: “It depends.”  As my guest points out, lawyers also get business-related questions. Business-related answers may begin with "it depends," but must end with a number. When a CEO asks how much revenue your project will generate, "more" is not the [...]

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Does Data Sharing and Zoombombing Cause Actual Harm?

January 14th, 2021|Categories: Corporate Compliance, HB Risk Notes, Technology Law|Tags: , , , , |

Legal Writer Law Street Media FTC Settles Health Data Sharing and Privacy Suit With Fertility App Flo Health Nothing in this life is free. Or cheap. Free and low-cost apps. Free internet searches. Free email. Free iPhones. Yeah. We're paying for it one way or the other. In this case, once again, it's private health information some folks are paying with.  Here is an excerpt of a post shared with the permission of Fastcase and Law Street Media. --Tom Hagy, HB Litigation Conferences WASHINGTON, DC -- Jan. 13, 2021 -- The Federal Trade Commission (FTC)  announced that that it has reached a  proposed settlement with Flo Health, Inc., the “developer of a period and fertility-tracking app used by more than 100 million consumers,” over claims that the company shared user health information with third-party data analytics providers despite promising that this information would remain private. In the complaint, the FTC alleged that Flo promised users that it would keep their health data, which includes menstrual cycle tracking and a PMS symptom log, as well as ovulation, fertility, and pregnancy information, private because it would only use this information to provide the app’s services to users. However, the FTC averred that Flo disclosed millions of users’ health data from its Flo Period & Ovulation Tracker app to third-parties “that provided [...]

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The Dark Net: Anonymity, Infrastructure, and the Future

July 10th, 2020|Categories: Corporate Compliance, HB Risk Notes, Mass Torts, News, Technology Law|Tags: , , , , |

Register Webinar Info Wednesday, Aug. 5, 2020 United States 8am PT | 10am CT | 11am ET United Kingdom 4pm BST Get CLE or CPE, a complete set of materials, and answers to your questions! Email us your: Speaker questions CLE questions Topics Covered Physical and Logical Topology and Method of Data Transmission Using the Dark Net for Threat Hunting Hacking Groups and Malicious Hackers   The Future of The Dark Net and Anonymity The Dark Net: Anonymity, Infrastructure, and the Future Is the Dark Web Getting Darker?  Wed., Aug. 5, 2020 | Produced for Access Data by HB Litigation Conferences The web, however singular it may seem from behind an everyday user’s computer or smartphone screen, comprises three distinctive parts: the public net (or web), the deep net, and the dark net. Though the dark net contains some innocuous content and is used for legitimate purposes, it also operates as a platform for illegal marketplaces. These offer almost anything a criminal or cybercriminal might want to buy or sell like malware, exploits, hackers-for-hire, information lifted from data breaches, censored content, and goods like drugs, guns, and other contraband. Observers report that the dark web is getting darker, meaning hardcore criminals make up a greater percentage of its user base. Exploits and [...]

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Dr. Babyl: Artificial Intelligence Could Save Lives, Time and Money — TheDailyBeast.com

May 27th, 2019|Categories: Corporate Compliance, HB Risk Notes, Technology Law|Tags: , , , , |

Itchy throat? Headache? Upset stomach? There's an app for that. There is a new AI healthcare system called Babylon UK’s National Health Service which features an AI-driven app that is reportedly able to separate “run-of-the-mill” illnesses from more life-threatening ones, while saving time, money, and anxiety for patients and doctors alike. Babylon offers more than diagnostic assistance; it is accessible to people in remote areas. "For example, Babyl, the Rwandan version of Babylon, offers remote appointments with clinicians, fills prescriptions, orders lab tests, and issues referrals.” Babyl enables affordable, personalized healthcare, combined with “the brains of thousands of doctors at once” to reach patients who cannot get to a doctor’s officer. In addition to assisting doctors with everyday check-ups and treating the common cold, the AI’s abilities extend to clinical trials. “In 2018 the Mayo Clinic partnered with IBM’s Watson to match patients with breast cancer to accessible clinical trials covered by their health plans. The matching program increased the enrollment of breast cancer sufferers in Mayo Clinic’s own clinical trials by 80%." Questions are being raised, however, about how to mitigate risks posed by hacking or by nefarious manipulation of the system. Read about this and more in the complete post by Joelle Renstrom on TheDailyBeast.com. 

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Artificial Intelligence: DeepMind on Debugging Learned Predictive Models

May 9th, 2019|Categories: Complex Business Litigation, HB Risk Notes, Technology Law|Tags: , , , , |

DeepMind, an artificial intelligence research company, in a recent blog post discusses three ways to eliminate bugs in learned predictive models. The company was founded in London in 2010. Google acquired it in 2014. In addition to London they have research centers in Edmonton and Montreal, Canada, and a DeepMind Applied team in Mountain View, California. "Bugs and software have gone hand in hand since the beginning of computer programming," the post reads. "Over time, software developers have established a set of best practices for testing and debugging before deployment, but these practices are not suited for modern deep learning systems. Today, the prevailing practice in machine learning is to train a system on a training data set, and then test it on another set. While this reveals the average-case performance of models, it is also crucial to ensure robustness, or acceptably high performance even in the worst case. In this article, we describe three approaches for rigorously identifying and eliminating bugs in learned predictive models: adversarial testing, robust learning, and formal verification." Read the complete post here! 

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Financial Institutions Struggle to Keep Up with ‘Changing Business Needs’ Such as Social Mobile Apps, and Getting Risk Data Quickly, Deloitte Report Suggests

January 27th, 2019|Categories: Corporate Compliance, HB Risk Notes, Technology Law|Tags: , , , , |

Deloitte's report is based on a survey of 94 financial institutions around the world that operate in a range of financial sectors and with aggregate assets of $29.1 trillion. Deloitte's Edward Hida  -- financial risk community of practice global leader and a partner in Deloitte Risk and Financial Advisory -- posted his executive summary the latest Global Risk Management Survey which is the organization's eleventh. The report is a detailed one and Deloitte draws quite a few conclusions around the continued focus on cyber security, engagement of boards of directors, increase attention to non-financial risks, the potential of digital risk management, enterprise risk management, the proliferation of Chief Risk Officers, an increased reliance on stress testing and more. A couple figures jumped out at me which show at least two challenges to financial institutions. Hear this Deloitte professional at ICRMC in Toronto April 15-16! Respondents are finding "extremely challenging" the need to keep up with changing business operational needs, such as deployment of social mobile applications, data analytics and cloud-based risks. Also in the "extremely challenging" category, not surprisingly, are threats from "sophisticated actors," like foreign governments and crackerjack hacktivists. Other issues categorized as "extremely high priority "revolve around getting quality risk data quickly. Given the average length of time other studies show that a hacker can poke around in your network before [...]

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