What Is Ambient AI and Why Does It Matter to Lawyers & Legal Professionals?
The Authenticity Advantage: How Runbin Dong’s Scale Social AI Helps Small Businesses Shine
Key Discovery Points: A Judicial Approach to Handling AI-Generated Evidence
Richard Meneghello of Fisher Phillips on How Smart Content Can Set Your Firm Apart - Passle's CMO Series EP175
Feeling Disillusioned with AI? You’re Not Alone
Great Women in Compliance: GWIC X EC Q2 2025 - Exploring Compliance Innovations
Daily Compliance News: June 25, 2025, The PCAOB Elimination Hits Roadblock Edition
Podcast - FTC to Focus on Deceptive AI Claims: Compliance Management Strategies
Upping Your Game: Crowd - Sourcing Risk Management Intelligence with AI
Daily Compliance News: June 24, 2025, The Questions, Questions, and More Questions Edition
Taking the Pulse, A Health Care and Life Sciences Video Podcast | Episode 240: Independent Practice In Dermatology with Dr. Darragh and Dr. Shuler of Carolina Dermatology
#Risk New York Speaker Series – Bridging the Gap: Effective Risk Communication in Compliance with Rob Clark, Jr.
#Risk New York Speaker Series – Upping Your Game with Tom Fox
SBR-Author’s Podcast: Upping Your (Compliance) Game
Innovation in Compliance: Real-Time Fraud Prevention Strategies for Financial Loss Prevention with Vince Walden
Risk New York Speaker Series: AI Investments and Political Uncertainty with Chris Mason
Episode 373 -- Christian Focacci on Current Developments in AI and Risk Management
#Risk New York Speaker Series: Exploring AI Risks in Compliance with Gwen Hassan
Regulatory Rollback: Inside the CFPB’s FCRA Guidance Withdrawal — The Consumer Finance Podcast
Rethinking Records Retention
Agentic AI refers to artificial intelligence systems capable of autonomously pursuing goals without requiring constant human intervention. Unlike traditional reactive AI – designed to respond to human prompts – agentic AI...more
A recent lawsuit involving an AI chatbot represents another indication of a possible shift in how courts will approach software under traditional strict products liability principles. Traditionally, courts have been hesitant...more
Programming is rapidly transforming from a manual, line-by-line exercise into an iterative collaboration between programmers and their large language model (LLM) of choice. Working inside modern integrated development...more
In May 2024, we released Part I of this series, in which we discussed agentic AI as an emerging technology enabling a new generation of AI-based hardware devices and software tools that can take actions on behalf of users. It...more
“With great power comes great responsibility,” and in the rapidly evolving landscape of Artificial Intelligence (“AI”), the intersection of innovation and legal responsibility is becoming increasingly complex. As AI becomes...more
In recent years, many organizations have implemented new policies on artificial intelligence (AI) use to help prevent bias, plagiarism, or use of AI tools that produce inaccurate or misleading information. Meanwhile, many...more
Artificial Intelligence (“AI”) use in business has proliferated in recent years; risks arising from this therefore must be managed. Whilst the use of AI can drive significant efficiency gains for most businesses, the...more
The rapid rise of artificial intelligence (“AI”) is reshaping industries, transforming economies, and presenting profound legal and ethical challenges....more
The Productivity Paradox: Does more technology mean less growth? Is there scope to use AI in commercial contracts? Will it save time, or ultimately cost more time in review and pose greater risk?...more
According to a Gartner survey, by 2026, more than 80% of enterprises will have implemented generative AI, which will have a significant impact on their operations. The aim is to enhance overall business processes and...more
Our webinar explored liability that can be incurred from the creation use or deployment of AI systems and raised some important questions around the current and future regulatory landscape applicable to AI and liability. We...more
As we reported in 2023, Utah was the first state in the nation to enact laws limiting minors’ use of social media. In early March 2024, Republican Governor Spencer Cox effectively repealed and replaced the previously enacted...more
On March 7, Deputy Attorney General Lisa Monaco delivered the keynote remarks at the American Bar Association’s (ABA) 39th National Institute on White Collar Crime. She noted that artificial intelligence (AI) “holds great...more
In Short - The Background: The prevalence of generative artificial intelligence ("GenAI") is rapidly expanding, providing vast opportunities for efficiency and innovation, while also creating new risks....more
Recent breakthroughs in generative artificial intelligence (AI) have captured significant media attention. Developers argue that the technology, which learns from data to produce new text, visual, or audio content based on a...more
One of the primary concerns surrounding ChatGPT and AI is the security of the data used to train and operate these machines and the potential privacy implications if the data is mishandled or intercepted by malicious actors. ...more
Data is arguably the products liability issue of the future. Dealing with data is often already a critical part of products liability lawsuits, but with the rise of artificial intelligence and automation, product...more
Artificial intelligence (AI) and machine learning applications like ChatGPT are the hot new technologies expected to changes our lives fundamentally. Taking the human element out of monotonous tasks promises to increase...more
AI Training data play a key role in the development of AI systems. However, they contain a risk of being inaccurate, discriminating or imbalanced. Accordingly, they can trigger significant liability claims. The current and...more
Artificial intelligence (AI) and machine-learning algorithms are powerful tools that can automate or inform decision-making. At the same time, those algorithms can be quite complex and appear to be a “black box”—inscrutable...more
Bias in AI can result from assumptions in the machine learning process, or as a result of data that is imbalanced or incomplete and does not reflect a true representation of the relevant population. Examples of such skewed...more