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 Arbitration: Rules, Tools and Risks
Charles Russell Speechlys
Luca Beffa, Remo Wagner
AI is increasingly integrated into arbitration, enhancing efficiency and accuracy in tasks like document review and legal research. However, its use introduces risks such as data breaches, confidentiality concerns, and potential biases in AI-generated content. To mitigate these risks, practitioners should verify AI outputs, ensure data security, and remain vigilant against AI-induced errors.
Magistrates and judges to use more AI, says Lammy, as jury trials reduced
Sky News / MSN
Tim Baker
The UK government plans to increase the use of artificial intelligence in the judicial system, including magistrates and judges, as part of efforts to reduce the number of jury trials. This initiative aims to streamline legal proceedings and address the backlog of cases. The move has sparked discussions about the role of AI in the justice system and its potential impact on fairness and transparency.
Why Legal AI Adoption Slows After Pilots
Artificial Lawyer
Damien Riehl
Legal AI adoption often stalls post-pilot due to integration challenges. Firms must adapt workflows, establish data governance, and align operational processes to incorporate AI effectively. Embedding AI into existing systems and ensuring consistent, reliable outputs are crucial for widespread use. Without clear operational clarity and alignment, adoption remains limited, even with successful pilot outcomes.
The End of the Magic Wand: Why 2026 Demands Resilience Prompting
DennisKennedy.Blog
Dennis Kennedy
In 2026, lawyers must shift from seeking perfect AI prompts to adopting ‘Resilience Prompting,’ which involves assuming AI outputs may be subtly incorrect. This approach emphasizes designing workflows that remain reliable even when AI is not, recognizing that AI systems can produce persuasive yet flawed reasoning. The focus is on supervision and verification to prevent incorrect reasoning from contaminating professional work.
Three Years After Launching As First AI Legal Assistant, CoCounsel Reaches 1 Million Users—and Thomson Reuters Teases What’s Ahead
LawSites
Bob Ambrogi
CoCounsel, launched on March 1, 2023, as the first AI legal assistant built on GPT-4, has reached 1 million users across 107 countries. Developed by Casetext and acquired by Thomson Reuters for $650 million, CoCounsel has been integrated into various Thomson Reuters products, including Westlaw and Practical Law. The company plans to release a new version of CoCounsel Legal, featuring conversational task execution, and is developing a proprietary large language model for legal, tax, and compliance applications.
The Intersection of AI and Attorney-Client Privilege—A Cautionary Tale
Ogletree Deakins
Burton D. Garland, Jr.
A federal judge in New York ruled that documents generated using a publicly available AI tool are not protected by attorney-client privilege or the work product doctrine. The court found that the defendant’s independent use of a consumer-grade AI platform to draft legal documents compromised confidentiality, failing to meet the requirements for attorney-client privilege.
Generative AI and LLM Developments
Statement from Dario Amodei on our discussions with the Department of War
Anthropic
Dario Amodei
Anthropic has proactively deployed its AI models, including Claude, to the Department of War and intelligence agencies for applications like intelligence analysis and cyber operations. The company has declined to provide technology for mass domestic surveillance and fully autonomous weapons, citing concerns over democratic values and current technological limitations.
The 2028 Global Intelligence Crisis
Citrini Research
Alap Shah
One view on our AI future: By June 2028, the economy experiences a significant downturn, with unemployment reaching 10.2% and the S&P 500 declining by 38% from its October 2026 peak. The rapid advancement of AI leads to widespread job displacement, particularly among white-collar workers, resulting in decreased consumer spending and economic contraction. Despite initial productivity gains, the economy fails to adapt to the rapid technological changes, leading to a negative feedback loop of economic decline.
If AI makes human labor obsolete, who decides who gets to eat?
The Guardian
Eduardo Porter
AI has potential to render human labor obsolete. There is need for a comprehensive discussion on how the economic benefits of AI should be distributed among the population and on the challenges in restructuring power dynamics and taxation systems to accommodate a future where machines dominate economic output.
AI Will Never Be Conscious
WIRED
Michael Pollan
The author’s new book, A World Appears, argues that while artificial intelligence can perform many tasks, it cannot possess consciousness. He discusses the implications of AI potentially achieving consciousness, emphasizing the moral and ethical considerations that would arise. Pollan also critiques current AI theories for neglecting the role of embodiment and feelings in consciousness, suggesting that these aspects are essential and cannot be replicated by machines.
AI’s Big Payoff Is Coordination, Not Automation
Harvard Business Review
Sangeet Paul Choudary
AI’s economic impact is often attributed to reduced costs in prediction and creation. However, a more significant and less recognized factor is the reduction in translation costs. This reduction enables diverse teams, tools, and data sources to interact effectively.
Probably doesn’t mean the same thing to your AI as it does to you
The Conversation
Mayank Kejriwal
AI systems interpret language differently from humans. It is important to understand these differences to improve human-AI interactions and ensure effective communication. Developers must consider human language nuances when designing AI systems to prevent misinterpretations.
AI Regulation and Policymaking
Governance of Agentic Artificial Intelligence Systems
Mayer Brown
Arsen Kourinian
Agentic AI systems autonomously plan and execute tasks, presenting unique opportunities and challenges for organizations. Effective governance requires establishing an AI governance team, implementing data governance techniques, ensuring legal compliance, conducting risk assessments, and applying mitigation measures. Transparency, human oversight, technical controls, and accountability are essential to manage risks associated with agentic AI systems.
The Case for Embedded AI in Government
Fast Company
Madeleine Smith
Government agencies face challenges in implementing AI due to data silos, budget constraints, and technological limitations. Consumer AI tools often lack the context needed for public service tasks. Embedding AI directly into government workflows and systems can address these issues, leveraging existing data and structures to enhance efficiency and collaboration across agencies and partners.
Taiwan’s AI Basic Act Can Be a Model for Asia
TechPolicy.Press
Charles Mok, Chen-Tso (Wesley) Chu
Taiwan’s AI Basic Act, enacted on January 14, 2026, aims to establish a ‘smart nation’ by promoting human-centric AI research and industry development. The law defines AI systems, sets governance structures, and emphasizes international cooperation. Key aspects include fostering trust in the global AI supply chain, prioritizing innovation, adopting a ‘soft law’ approach to reduce compliance costs, and implementing a layered governance system led by central authorities.
At least 89 nations, international groups sign India AI summit declaration
BBC Worldwide Monitoring
The AI Impact Summit in India concluded with 89 countries and international organizations signing the ‘New Delhi Declaration,’ a non-binding agreement outlining a shared global roadmap to ensure equitable distribution of artificial intelligence. The declaration includes the US, China, France, Australia, and the UK among its signatories. The framework focuses on seven key pillars: democratizing access to AI resources, advancing economic growth and social good, ensuring secure and trusted AI systems, enabling AI-driven scientific research, strengthening social empowerment, developing human capital, and building resilient, energy-efficient AI systems.
AI News from Other Fields
The pitch deck is dead. Write a pitch.md instead.
Westenberg
JA Westenberg
Traditional pitch decks are ineffective for conveying startup ideas. They focus on aesthetics and performance, often lacking substance. A ‘pitch.md’ file, a plain markdown document, offers a clear, structured argument for a company’s existence, emphasizing clarity and depth over style. This format aligns with the preferences of technical investors and facilitates easier evaluation and verification.
Accountancy firms face margin squeeze as AI disrupts compliance services
City AM / MSN
Maria Ward-Brennan
Accountancy firms are experiencing reduced profit margins due to the integration of artificial intelligence into compliance services. AI technologies are automating tasks traditionally performed by accountants, leading to increased efficiency but also diminishing the demand for human labor in these areas. This shift is compelling firms to reassess their business models and explore new avenues for value creation to maintain profitability.
When AI becomes a paintbrush, is it art?
CBS News
Brit McCandless Farmer
Refik Anadol, a Turkish American artist, uses artificial intelligence to create immersive digital installations by feeding AI models vast datasets, such as 200 million photographs of Earth from NASA archives. Critics like Jerry Saltz express skepticism, questioning whether AI-generated art can possess the depth and lived experience inherent in human-created works.
The Process Is the Art: Ellie Alexander on Drafting and Creativity in the AI Era
CrimeReads
Ellie Alexander
Ellie Alexander emphasizes the importance of the human creative process in writing, contrasting it with AI-generated content. She describes her meticulous approach to crafting mysteries, including detailed outlines, character development, and iterative revisions. Alexander argues that the unpredictable and personal journey of writing is what makes it art, highlighting the value of human effort in storytelling.
Oura launches a proprietary AI model focused on women’s health
TechCrunch
Aisha Malik
Oura has introduced its first proprietary AI model to enhance the Oura Advisor chatbot, providing personalized insights into women’s health, covering the entire reproductive health spectrum from early menstrual cycles to menopause. This model, available through Oura Labs, integrates established medical standards, research, and biometric data to offer tailored guidance. It is designed to be non-dismissive, reassuring, and emotionally supportive, though not intended to replace medical advice.
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