Category Archives: Artificial Intelligence

AI Use Cases for Lawyers, Part 2—From Audio of a Hearing to Transcript, Summary, PowerPoint and Podcast in Nine Minutes

by Avi Gesser and Michael Pizzi

Photos of authors

From left to right: Avi Gesser and Michael Pizzi (photos courtesy of Debevoise & Plimpton LLP)

In Part 1 of this series, we “vibe coded” a game designed to help train lawyers and professional staff on the firm’s new AI policy using Generative AI. In Part 2, we demonstrate how lawyers can use AI tools to rapidly transcribe and summarize audio recordings from congressional hearings, oral arguments, or depositions, and transform them into a variety of easy-to-digest formats. Specifically, we used NotebookLM and Gamma to transcribe a recent 30-minute Second Circuit oral argument and then create a two-page written summary, a “podcast”-style audio summary, and a PowerPoint presentation—all in under nine minutes.

Continue reading →

Future-Proofing Private Equity and Venture Capital: Leveraging AI for Strategic Advantage and Higher Returns

by Sabrina Hannam, Ibe Imo, Shana Sharan, and Ash Buonasera

Left to right: Sabrina Hannam, Ibe Imo, Shana Sharan and Ash Buonasera (photos courtesy of Boardswell)

In the high-stakes world of private equity, venture capital, and technology, a silent revolution is underway, transforming the very essence of how firms operate and compete. It’s a story not of human titans clashing in boardrooms, but of a new collaborator—Artificial Intelligence (AI)—that is rewriting the rules of engagement for human capital management. Once a tool for streamlining simple tasks, AI has evolved into a “digital colleague,” capable of autonomous decision-making and strategic support that extends far beyond the traditional confines of talent acquisition. This shift is challenging long-held practices and heralding an era where success is no longer solely defined by human intuition but by a symbiotic relationship between bold leadership and intelligent machines. Continue reading →

California Adopts New Employment Al Regulations Effective October 1, 2025

by Arsen Kourinian, Ruth Zadikany, and Remy N. Merritt

Left to right: Arsen Kourinian, Ruth Zadikany, and Remy N. Merritt (photos courtesy of Mayer Brown)

The California Civil Rights Council (CRC) recently announced that it has finalized regulations that clarify how California’s anti-discrimination laws apply to the use of artificial intelligence (Al) and automated decision systems (ADSs) in employment decision-making (the “Regulations”). The Regulations provide that the use of an ADS (including Al) in making employment decisions can violate California law if such tools discriminate against employees or applicants — either directly or due to disparate impact — on the basis of protected characteristics (including race, age, religious creed, national origin, gender, and disability).

Continue reading →

White House’s AI Action Plan: Winning the Race in a Patchwork Regulatory Era

By Joshua Ashley Klayman, Ieuan Jolly, Jeffrey Cohen, and Caitlin Potratz Metcalf

Left to right: Joshua Ashley Klayman, Ieuan Jolly, Jeffrey Cohen, and Caitlin Potratz Metcalf (photos courtesy of Linklaters)

On July 23, 2025, the White House published Winning the AI Race: America’s AI Action Plan (the AI Action Plan), a comprehensive effort aimed to solidify United States leadership in artificial intelligence. The AI Action Plan acknowledges the U.S.’ uniquely complex—and, at times, conflicting—regulatory landscape, including the patchwork of state-level laws that impact innovation, compliance, and policy predictability. The Action Plan calls for national leadership and seeks a unified, pro-innovation regulatory approach, with an understanding that states will continue to develop their own laws. Businesses should prepare for both the opportunities and the compliance challenges that will arise as the Action Plan is implemented.

Continue reading →

CPPA Adopts Long Awaited Rulemaking Package

by Avi Gesser, Johanna N. Skrzypczyk, HJ Brehmer, and Melyssa Eigen

Left to right: Avi Gesser, Johanna N. Skrzypczyk, HJ Brehmer, and Melyssa Eigen (photos courtesy of Debevoise & Plimpton LLP)

The California Privacy Protection Agency (the “CPPA”) Board met on July 24, 2025, to decide whether to adopt its comprehensive rulemaking package covering cybersecurity audits, automated decision-making technology, and other adjustments to its existing regulations (collectively, the “Draft Regulations”). We have written about these topics in December 2024, February 2025, and May 2025 respectively. Ultimately, after its initial 45-day comment period and additional revisions, the Board decided to finalize the text of the rulemaking package (the “Regulations”).

Continue reading →

The AI Whistleblower Protection Act Is Critical for Enhancing Corporate Compliance

by Stephen M. Kohn and Sophie Luskin

Photos of authors

Stephen Kohn and Sophie Luskin (photos courtesy of authors)

On May 15, 2025, Senator Charles Grassley (R-IA) introduced the bipartisan AI Whistleblower Protection Act (AIWPA). Co-sponsored by senators Chris Coons (D-DE), Marsha Blackburn (R-TN), Amy Klobuchar (D-MN), Josh Hawley (R-MO) and Brian Schatz (D-HI), it creates clear channels for AI industry employees to make lawful disclosures about safety issues with protections from retaliation. 

Continue reading →

Retheorizing Compliance: Moving from Defense to Offense in Uncertain Times

by Todd Haugh and Suneal Bedi

Left to right: Todd Haugh and Suneal Bedi (photos courtesy of the authors)

The Trump administration—Trump 2.0, as some are calling it—is moving at unprecedented speeds to remake how government regulates business. In the administration’s first 100 days alone budgets and personnel have been downsized at the IRS, EPA, CFPB, and FTC, among other agencies. Enforcement of the FCPA has been paused, more than a dozen inspector generals have been removed from their posts, and the newly confirmed Attorney General and FBI Director are expected to work in tandem to drastically refocus civil and criminal enforcement.   

Continue reading →

Evolution of AI Washing Enforcement: DOJ Enters the Picture

by Joel M. Cohen, Gabriella Margaux Pérez Klein, and Robert DeNault

Left to right: Joel M. Cohen, Gabriella Margaux Pérez Klein, and Robert DeNault (photos courtesy of White & Case LLP)

On April 9, the U.S. Department of Justice and Securities and Exchange Commission announced parallel cases against the founder and former CEO of an artificial intelligence startup for allegedly misleading investors about his former company’s product capabilities.  The cases are the latest salvo in regulatory focus on AI companies and their public statements about the products they offer.

Continue reading →

The Rise of Audits as a Regulatory Tool for Tech

by Janet Kim, Matthew Bruce, Lutz Riede, Tristan Lockwood, Fiona McHugh, Florentine Schulte-Rudzio, and Bhavya Sharma

Photos of the authors

Top left to right: Janet Kim, Matthew Bruce, Lutz Riede, and Tristan Lockwood. Bottom left to right: Fiona McHugh, Florentine Schulte-Rudzio, and Bhavya Sharma (photos courtesy of Freshfields LLP)

As technology evolves, so do challenges in effectively regulating it. In an era where there is increasing focus on effective oversight of digital platforms, legislators are turning to audits as a go-to tool. This blog explores the reasons behind the growing adoption of audits in digital regulation, focusing on key legislative frameworks such as the EU’s Digital Services Act (DSA) and the UK’s Online Safety Act (OSA), and also explores the scope of audits in AI and other digital regulation. It also includes some practical tips for businesses navigating these new audit regimes.

Continue reading →

Federal Judicial Conference to Revise Rules of Evidence to Address AI Risks

by Avi Gesser, Jim Pastore, Matt Kelly, Gabriel Kohan, and Jackie Dorward

Photos of the authors

From left to right: Avi Gesser, Jim Pastore, Matt Kelly, Gabriel Kohan, and Jackie Dorward (photos courtesy of Debevoise & Plimpton LLP)

As the first quarter of 2025 draws to a close and we look ahead to the spring, important changes to the Federal Rules of Evidence (“FRE”) regarding the use of AI in the courtroom are on the horizon. Specifically, the Federal Judicial Conference’s Advisory Committee on Evidence Rules (the “Committee”) is expected to vote on at least one AI-specific proposal at its next meeting on May 2, 2025. The Committee has been grappling with how to handle evidence that is a product of machine learning, which would be subject to Rule 702 if propounded by a human expert.

Continue reading →