AI × Law

Okta, a secure identity management company, has hired Silicon Valley legal veteran Scott Morgan as its new Chief Legal Officer. Morgan's appointment comes as Okta focuses on addressing AI-driven threats and leveraging AI for internal legal operations, highlighting the increasing importance of AI expertise in corporate legal leadership.

Faegre Drinker has moved beyond pilot programs to fully integrate AI across its firm, rolling out Microsoft Copilot and the legal AI platform Harvey to its entire workforce. The firm emphasizes comprehensive training and strict guardrails, aiming to enhance efficiency and redefine value discussions with clients beyond the billable hour.

CosmoLex, a cloud-based legal practice management platform, introduced new AI features, including 'AI Intake' to automate client onboarding from form generation to follow-up communications. The update also includes an AI Intake Form Builder, Document Summarization, and AI-powered natural-language filtering, aiming to streamline administrative tasks for law firms.

Mayer Brown has entered a strategic arrangement with AI-powered legal tech company Scissero. This collaboration aims to leverage Scissero's AI capabilities within the firm's structured products practice, signaling an integration of advanced technology into legal workflows.

Goodwin aims to shift one million lawyer hours to higher-value work by rolling out an automated venture financing tool, the first in a planned suite of AI programs. The firm has earmarked $25 million annually for AI development and product acquisition, utilizing a customized Anthropic Claude platform and its proprietary "Regina OS."

A class action lawsuit has been filed in California against three health systems for using AI scribes to record clinician-patient conversations without the patients' knowledge or explicit consent. This development highlights growing concerns about patient safety and the unregulated adoption of AI decision support systems in healthcare.

Major publishers and author Scott Turow filed a class-action lawsuit against Google, accusing the tech giant of using millions of copyrighted books from its own platforms and piracy sites to train its Gemini AI models. The suit alleges Google's licenses did not cover AI training and that Gemini now directly competes with the original works.

An English criminal court reaffirmed the prohibition against witness coaching, including through AI chatbots, emphasizing that AI-generated responses can compromise witness integrity and the court's fact-finding ability. While the specific case was not stayed, the court issued a clear warning about the risks of using AI to prepare witness evidence, which could lead to evidence exclusion.

Taft Stettinius & Hollister has published a comprehensive catalog of US state-level AI regulations enacted between 2019 and 2026, highlighting compliance obligations like bias audits and disclosure requirements for private sector businesses. The report emphasizes the critical need for companies to understand applicable state laws to avoid potential litigation and criminal liability.

Colorado has replaced its comprehensive AI Act with the Automated Decision-Making Technology Act, which takes effect January 1, 2027. The ADMTA focuses on transparency and disclosure for "covered ADMT" used in "consequential decisions," omitting controversial elements like a duty of reasonable care. The Attorney General's office is currently inviting public comment on draft rules.

A new Connecticut law, effective October 2026, defines and regulates AI companions, imposing safety protocols, disclosure requirements, and content restrictions. This legislation, and similar efforts in other states, presents compliance challenges for the video game industry due to the increasing use of generative AI in non-player characters.

A major consolidated copyright lawsuit against OpenAI, backed by authors and news organizations, centers on whether training AI models with copyrighted material constitutes fair use. The outcome, expected early next year, could significantly impact the cost, accessibility, and innovation within the generative AI industry, potentially limiting future development to only the largest players.

New research suggests a dramatic increase in pro se federal court filings since ChatGPT's release, with a growing percentage showing signs of AI-generated text. However, despite easier drafting, AI-assisted cases are not leading to improved outcomes for self-represented litigants, with dismissal rates remaining high and win rates unchanged.

The AI Incident Database indexes real-world harms and near-harms from AI systems, highlighting incidents like a Yale student's lawsuit over an AI-generated exam misclassification, alleged price-fixing by hotels using AI, and a veterinary hospital suing over an AI misdiagnosis.

DiCello Levitt secured a National Law Journal Elite Trial Lawyers Award for Technology (Including AI), highlighting its representation of the City of Baltimore in a lawsuit against X Corp. and x.AI over generative AI deepfakes. This recognition underscores the firm's leadership in novel AI-related litigation.

A new report attributes 87% of deepfake attacks in H1 2026 to Grok, with 15,736 confirmed victims and estimated potential civil liability reaching $2.24 billion. SpaceX, xAI's parent company, has set aside $530 million for Grok-related litigation. The report highlights the concentration of harm from a single consumer AI platform and the ongoing legal and regulatory challenges.

A class action lawsuit alleges Alibaba Group Holding Limited failed to disclose that its AI models posed a risk of "distillation attacks" and that the company was affiliated with the Chinese military, leading to investor losses. Investors have until October 5, 2026, to move to be lead plaintiff in the securities fraud case.

A class action lawsuit has been initiated against UiPath, alleging misstatements concerning its AI-powered Business Automation Platform. The suit covers a period beginning in December 2020.

A Manhattan federal judge ruled that statements made by Telus Digital regarding its shift to AI services were forward-looking opinions and optimism, not fraudulent, dismissing an investor lawsuit. This highlights judicial views on corporate forward-looking statements concerning AI initiatives.

A Congressional Research Service report reveals states lack uniform rules for AI health liability, leading to early-stage litigation in state courts. The Trump administration's executive order to establish an AI Litigation Task Force signals an intent to challenge state AI laws deemed inconsistent with federal policy, creating a collision between state experimentation and federal preemption.