This human-curated, AI-generated newsletter from the American Arbitration Association’s AAA-ICDR Institute keeps you up on AI news over the past week that is relevant to dispute resolution and to legal services more broadly.
AI in ADR and Legal Services
AI in the Mediation Room: How Artificial Intelligence Is Reshaping Construction Dispute Resolution
Mediation Magazine
Gregory R. Meeder, Aaron Crews
AI tools can enhance construction dispute mediation by facilitating focused dialogue based on actual data and legal positions, leading to more efficient and less adversarial processes. A real-life example demonstrates AI-assisted ‘Move the Needle’ Clarification Questions breaking stalled negotiations by synthesizing records and generating targeted questions for each side.
AI Arbitration and the Future of Legal Work, with Bridget McCormack
Lawyerist Podcast
Zack Glaser, Bernadette L. Harris
“Lawyers are trained to spot risk. But when it comes to AI, focusing only on risk may cause firms to miss the bigger opportunity. In episode 623 of the Lawyerist Podcast, Zack Glaser sits down with Bridget McCormack to talk about AI arbitration, legal innovation, and why the future of legal work may be less about replacement and more about reinvention.”
AI Arbitration: Faster, Cheaper – But Are Parties Ready?
Burges Salmon
Tom Whittaker
AI is increasingly being integrated into arbitration processes to enhance efficiency and reduce costs. However, the readiness of parties to adopt AI in arbitration remains uncertain, with concerns about the technology’s reliability and the need for appropriate regulatory frameworks.
AI Was Supposed to Replace Court Reporters. Instead, There’s an Increasingly Desperate Need for More Humans on the Job
Moneywise
Chris Morris
AI was expected to automate court reporting, but the technology has not met expectations, leading to a shortage of qualified human court reporters. This shortage has resulted in increased workloads, longer wait times for transcripts, and concerns about the accuracy and reliability of AI-generated transcripts.
The lawyer who won a $6 million verdict against Meta says AI let him do 30 hours of work in 10
The Next Web
Allison Steffens Herrera
Mark Lanier, the Texas trial lawyer who won a $6 million verdict against Meta and Google in a social media addiction case in March, says AI was central to his preparation and execution throughout the five-week trial. The case is a bellwether for more than 1,500 similar lawsuits consolidated in federal multidistrict litigation, meaning its outcome could shape how thousands of pending claims against social media companies are resolved.
From Chat to Work: Why Trust Is the Real Shift in Legal AI
LexisNexis
Greg Dickason
Legal AI has evolved from providing answers to delivering complete work products, such as drafts and client memos. This shift necessitates integrated, governed systems that ensure the reliability and verifiability of AI-generated content, addressing concerns about accuracy and trustworthiness in legal applications.
Is Kirkland’s $500 Million AI Investment Really A Bet On Data?
LawSites
Ken Crutchfield
Kirkland & Ellis announced a $500 million investment in AI, partnering with Palantir to develop proprietary AI capabilities tailored to its practice. This strategic move aims to integrate the firm’s extensive data and knowledge, positioning AI as central to its future operations and market positioning.
Rhode Island Supreme Court Issues AI Rules for Lawyers and Judges
RINewsToday
Nancy Thomas
The Rhode Island Supreme Court has updated Rule 1.1 to emphasize that lawyers must stay informed about technological advancements, including AI. Interim guidelines advise that while lawyers may use AI tools, they are responsible for reviewing AI-generated content to ensure accuracy.
Agentic Commerce
‘Agentic commerce’: What are the risks when AI buys things for you?
Charlotte Observer
AI-powered shopping agents that can independently research, compare, and order products on behalf of customers are raising serious legal and privacy questions. Providers are expanding their agents to cover shopping autonomously, based on customer specifications. Amazon and Google are moving in this direction with Alexa for Shopping and an AI agent that can place products from multiple platforms into a single shopping basket and make payments on the user’s behalf.
ChatGPT can now shop and pay on behalf of customers using their Visas
Global News / MSN
Rachel Goodman
ChatGPT has been integrated with Visa’s payment system, enabling it to make purchases and process payments on behalf of customers. This development allows users to complete transactions through conversational interactions with ChatGPT, streamlining the shopping experience.
Visa and Mastercard Put Tokens in Charge of AI Commerce
PYMNTS
Visa and Mastercard are developing agentic payment frameworks based on tokenized credentials, authenticated agents, and permissioned transactions to enable AI-driven commerce. This approach aims to establish trust and security in AI-initiated purchases by managing identities and authorizations through token service providers, addressing consumer concerns about fraud and control.
Coinbase Expands into Agentic Finance with New Trading and Payments Platform
Analytics Insight
Coinbase has launched Coinbase for Agents, a platform enabling AI agents to connect to user accounts and perform crypto-related tasks. This service allows AI assistants to trade crypto, access market data, send payments, and manage account workflows under user control, marking a significant move into agentic finance.
Estonia intends to recognize AI agents with digital IDs
The Register
Thomas Claburn
Estonia plans to grant AI agents their own digital identities, enabling them to act on behalf of individuals in a verifiable and auditable manner. This initiative aims to establish clear authorization and responsibility frameworks for AI-driven tasks, ensuring transparency and accountability in digital interactions.
Generative AI and LLM Developments
JPMorgan Forecasts $5.5 Trillion AI Infrastructure Spending by 2030
Nexis / GuruFocus
JPMorgan projects that by 2030, operators will invest approximately $5.5 trillion in AI hyperscale data centers, up $400 billion from previous forecasts. About $4.1 trillion is expected from debt financing, indicating major tech companies’ reliance on borrowed funds for AI infrastructure development. Since November, over $300 billion in AI and data center-related bonds have been issued, with NVIDIA’s recent $25 billion bond attracting $85 billion in subscriptions.
AI Will Lead to Labour Shortages, Jeff Bezos Says at Vivatech
U.S. News & World Report
Gianluca Lo Nostro et al.
Jeff Bezos thinks that AI will lead to labor shortages and emphasizes the need for new job creation and reskilling programs. He highlighted the importance of addressing these challenges to ensure a smooth transition as AI becomes more integrated into various industries.
Racial and ethnic differences in how adults use and view AI
Pew Research Center
Jeffrey Gottfried et al.
Asian adults are more likely to use AI chatbots daily compared to adults of other ethnic or racial backgrounds. They also express greater optimism about AI’s future impact. Hispanic adults are more likely to use AI chatbots for health information than White adults. Black adults are more likely to use AI chatbots for schoolwork assistance than White adults.
AI Doesn’t Feel. So Why Does It Have Something Like Emotions?
TIME
Tharin Pillay
Researchers are observing structures within AI systems that resemble human neural patterns, suggesting potential parallels in processing. These findings challenge traditional definitions of consciousness and intelligence, prompting a reevaluation of how these concepts are applied to machines.
AI Regulation and Governance
Stricter AI Oversight is Coming After the Sudden Claude Fable 5 Shutdown
Geeky Gadgets
Julian Horsey
The U.S. government mandated the immediate shutdown of Anthropic’s Claude Fable 5 AI model due to significant security vulnerabilities, including susceptibility to ‘jailbreaks’ that could bypass safeguards and enable misuse. National security concerns and export restrictions were cited as reasons for the shutdown, executed within 90 minutes, highlighting the growing scrutiny on advanced AI systems and their potential risks.
A recent survey reveals that nearly all European organizations feel pressure to scale AI for customer experience. However, only 38% have a clear approach to AI governance, indicating a significant gap between the desire to implement AI and the strategies to manage it effectively.
LGBTQ Bias in AI: A Safety Report
Mashable
Chase DiBenedetto
A recent report highlights significant LGBTQ bias in AI systems, revealing that many AI models exhibit discriminatory behavior against LGBTQ individuals. The study emphasizes the need for developers to address these biases to ensure AI systems are fair and inclusive for all users.
AI News from Other Fields
Agentic coding and persistent returns to expertise
Anthropic
Anthropic analyzed approximately 400,000 Claude Code sessions from October 2025 to April 2026 to understand interactive agentic coding. The study found that individuals with greater domain expertise achieved higher success rates, with the value of tasks increasing by about 25% over seven months. The research also observed a significant reduction in debugging time and a shift towards more comprehensive agentic use, including deploying code and writing non-code documents.
Hate talking to AI customer support? 70% of Americans say help from a real human should be a legal right
The Independent
Julia Musto
A recent survey reveals that over 70% of Americans desire the option to interact with human representatives instead of AI in sectors like medicine, courts, education, and benefits offices. Additionally, 75% of respondents want to be informed when they’re engaging with AI, and 68% support labeling AI-generated media.
How Accounting Must Redraw Responsibility for AI Errors
Forbes
Yvonne Hinson
Accounting firms are integrating AI into their operations, leading to increased efficiency but also raising concerns about accountability for AI-driven errors. The complexity of AI systems makes it challenging to assign responsibility when mistakes occur, necessitating a reevaluation of governance structures within the accounting profession. Establishing clear accountability frameworks is essential to ensure transparency and maintain trust in financial reporting.
AriaM AI Content Coalition with Disney, New York Times, and Adobe
Variety
Corbin Bolies
AriaM, an AI content coalition, has partnered with Disney, The New York Times, and Adobe to develop advanced AI tools for content creation. This collaboration aims to enhance storytelling capabilities by integrating AI technologies, allowing for more dynamic and personalized content experiences. The initiative reflects a growing trend of media companies embracing AI to innovate their content production processes.
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