AI in ADR
ADR Clauses in the Age of AI | AI and Forgery | Court Pauses Anthropic Settlement with Authors
This human-curated, AI-generated newsletter from the AAA-ICDR Institute and AAAiLab keeps you up on AI news over the past week that is relevant to alternative dispute resolution (ADR).
AI in ADR and Legal Services
Blueprints for Resolution: ADR Clauses in the Age of AI
American Arbitration Association
“As AI reshapes construction projects from design to evidence, legal teams face new pressures to draft [ADR] clauses that can withstand digital disruption. In this video, industry leaders share how to future-proof contracts, address AI-generated evidence, and protect projects with flexible, tech-ready dispute resolution strategies. To learn how top industry leaders are managing risk with capital-intensive projects, download our construction report.”
Artificial intelligence in arbitration: evidentiary issues and prospects
Global Arbitration Review
Katrina Limond, Alexander Calthrop
Artificial intelligence is rapidly transforming international arbitration, especially in managing and analyzing evidence. AI tools now assist with contract review, document discovery, drafting, and even real-time hearing support, promising major efficiency gains. However, risks such as hallucinations, confidentiality breaches, regulatory uncertainty, and deepfake evidence demand caution, oversight, and evolving best practices. Ultimately, lawyers who skillfully integrate AI will outperform those who do not, but human judgment and ethical standards remain essential.
AI in Arbitration – A Perspective from Singapore
Clyde & Co.
Leon Alexander, Hannah Chua
Singapore is integrating AI into international arbitration by leveraging tools for legal research, translation, transcription, and document management, all while emphasizing human oversight and accuracy. Regulatory measures, such as the Personal Data Protection Act and new guidelines, ensure ethical and secure AI use. The approach balances technological efficiency with data protection and procedural fairness, positioning Singapore as a leader in responsible AI adoption within legal and arbitration services.
This 30-year-old CEO says his AI negotiator can successfully haggle down the price of a car by thousands of dollars
Fortune
Dave Smith
CarEdge has developed an AI-powered negotiator that handles car price negotiations on behalf of buyers, leveraging proprietary data and negotiation strategies to secure significant savings and protect customer privacy. The service, which charges a fee to ensure serious users, automates dealer interactions, shields personal information, and consistently outperforms typical human negotiation, suggesting that AI agents could soon become standard for complex, high-stakes consumer transactions.
Jus Mundi Launches Agentic Tool, Explains How It Works
Artificial Lawyer
Jus Mundi has introduced Jus AI 2, an advanced legal research tool that autonomously plans and executes complex research tasks for arbitration professionals. By combining agentic AI reasoning with precise, transparent search methods, it can break down legal queries, self-correct through iterative analysis, and deliver structured, fully cited answers, enabling faster, more reliable research without sacrificing control or oversight.
Forgery in the Age of Artificial Intelligence: A Legal Reckoning
JD Supra / Barnea Jaffa Lande & Co.
Moran Bickel
Advances in generative AI have transformed forgery from obvious tampering to convincing, fully fabricated documents that can evade traditional scrutiny. Legal systems worldwide are ill-equipped for this shift, as existing evidentiary rules focus on appearances and signatures rather than true provenance. To maintain trust in legal processes, courts and arbitrators must demand verifiable origins and robust digital trails, moving beyond superficial checks to ensure authenticity in an era of seamless fakes.
Clients Push Big Law Firms to Use Generative AI for Cost Savings
Bloomberg Law
Roy Strom
Major corporate clients are increasingly pressuring law firms to adopt generative AI tools to improve efficiency and reduce costs, signaling a shift in traditional legal service models. This trend is prompting law firms to rethink how they train junior lawyers and manage workflows, even as some clients remain cautious about AI use. The move reflects growing client expectations for measurable value and the evolving role of technology in legal operations.
Generative AI and LLM Developments
Federal Judge Slams Anthropic's $1.5B AI Copyright Settlement
WebProNews
Lucas Greene
A federal judge has paused a proposed $1.5 billion settlement between Anthropic and authors over alleged copyright infringement, expressing concern it could disadvantage creators and lacked transparency. A hearing is set for September 25. The dispute centers on Anthropic’s use of pirated books to train its AI, raising questions about fair use, compensation, and industry standards. The outcome could shape how AI companies source data, influence future legal battles, and set precedents for author rights and AI development.
RSS co-creator launches new protocol for AI data licensing
TechCrunch
Russell Brandom
Facing mounting copyright lawsuits over unlicensed training data, major web publishers and technologists have introduced Real Simple Licensing (RSL), a scalable system for AI data licensing. RSL enables publishers to set machine-readable terms and collectively negotiate royalties, aiming to standardize how AI companies access web content. While major publishers are joining, challenges remain in tracking data usage and convincing AI labs—accustomed to free data—to participate.
Mistral Cements AI Lead In Europe With Cash Infusion
Barron’s
Tom Barfield
French AI company Mistral has strengthened its status as a leading European contender in artificial intelligence by securing a landmark funding round and forming a strategic partnership with semiconductor equipment giant ASML, positioning itself to better compete with dominant US and Chinese players in the industry.
A framework for pricing AI products
Stripe
Kunal Mahajan, Helen Lee
As businesses rapidly integrate generative AI, monetizing these products proves difficult due to unpredictable costs and challenges in aligning pricing with customer value. Companies experiment with various charge metrics—consumption-based, workflow-based, or outcome-based—and often adopt hybrid pricing models to balance predictable revenue with customer growth. Effective risk management and ongoing pricing adjustments are essential, as AI costs, customer needs, and market dynamics continue to evolve.
Make Sure Your AI Strategy Actually Creates Value
Harvard Business Review
W. Chan Kim, et al.
The rapid rise of accessible AI tools like ChatGPT has shifted artificial intelligence from a niche technology to a widely available resource, sparking widespread interest and high expectations among businesses eager to leverage these powerful, increasingly affordable systems for innovation and efficiency.
Stanford researchers team up with Google to launch game teaching responsible use of AI
Stanford University
AI Quests, developed by Stanford and Google, is a free, interactive game designed to teach teens how artificial intelligence works through hands-on problem-solving. Players act as researchers, gathering and preparing data, building models, and making decisions that influence AI outcomes. The game emphasizes human responsibility in AI, encourages critical thinking, and is supported by resources for educators to integrate AI literacy into classrooms.
AI Regulation and Policymaking
National Security Institute symposium explores AI governance
Virginia Tech
Craig Newcomb
Leaders from government, industry, academia, and nonprofits convened to discuss how to advance artificial intelligence in ways that boost human productivity while ensuring responsible, safe, and reliable deployment. The event emphasized practical steps organizations can take to adopt AI effectively, highlighting the importance of collaboration and a results-driven approach to address the challenges and opportunities of AI adoption.
The GAIN AI Act Looks More Like Protectionism Than National Security
Reason
Tosin Akintola
Proposed U.S. legislation would require domestic semiconductor companies to prioritize American buyers and tightly regulate exports of advanced chips, aiming to safeguard national security and outpace rivals like China. Critics argue these measures would disrupt global supply chains, reduce industry competitiveness, and harm innovation, citing evidence that export controls have already diminished U.S. chipmakers’ revenues and market share, while China’s state-supported sector continues to expand rapidly.
Anthropic backs California bill that would mandate AI transparency measures
NBC News
Jared Perlo
California is poised to enact SB 53, a first-of-its-kind law requiring major AI developers to publicly disclose safety procedures and risk assessments, with support from leading AI firm Anthropic. The bill aims to transform voluntary safety commitments into legal obligations, prioritizing transparency over liability. While some industry groups warn this could hinder innovation, supporters argue it’s a necessary step amid stalled federal regulation and growing concerns about advanced AI risks.
AI in government: Key applications and future trends
Zendesk
Candace Marshall
Governments are adopting AI to streamline operations, enhance public engagement, and make data-driven decisions, leading to faster, more personalized, and efficient citizen services. Key benefits include automation of routine tasks, improved fraud detection, and predictive analytics, while challenges involve data privacy, bias, ethics, and resource constraints. Emerging trends point toward greater personalization, generative AI, autonomous systems, and AI copilots, shaping the future of resilient, citizen-centered public services.
AI Chatbots in Therapy
Psychology Today
Eva Ritvo
Utah, Nevada, and Illinois have enacted laws barring AI chatbots from providing mental health therapy or diagnoses, citing patient safety and ethical concerns, while still permitting their use for administrative tasks. These restrictions affect how universities train future mental health professionals and shape student exposure to AI in clinical settings. Despite legal boundaries, students continue using AI for personal support, highlighting the ongoing tension between technological innovation, regulation, and the irreplaceable role of human clinicians.
AI News from Other Fields
Here’s how AI will reinvent nonprofits
Fast Company
Jacek Siadkowski
Researchers have developed a new AI system that can generate highly realistic images from simple text descriptions, advancing the capabilities of generative models. This breakthrough allows users to create detailed visuals with minimal input, potentially transforming creative industries, design processes, and digital content creation by making it easier and faster to produce custom imagery.
The Building Company: A Vignette
hyperdimensional.co
Dean W. Ball
“The post below is a story about the future, but it is also a story about the policy choices we face today, and their tradeoffs.” Autonomous robots, guided by advanced AI agents, have revolutionized construction by transforming every step—from surveying land to building and monitoring structures—into a data-driven, highly optimized process. This shift eliminates traditional skilled trades, enables rapid and customizable building, and creates digital twins for ongoing maintenance. While regulators and insurers embrace the transparency and efficiency, debates persist over aesthetics, social impact, and the broader implications of AI-driven automation.
Bridging the Human–AI Knowledge Gap
bhakthan.substack.com
Srikanth Bhakthan
Researchers demonstrated that AlphaZero, a top chess AI, holds strategic knowledge unique to machines but understandable by humans if taught properly. By extracting and curating these "machine-only" concepts, they enabled elite grandmasters to improve performance and grasp new strategies. The approach—using sparse, actionable concept vectors from the AI’s internal representations—shows promise for transferring novel, dynamic plans from superhuman AI to humans across fields like medicine, finance, and robotics.
AI helped older adults report accurate blood pressure readings at home
American Heart Association
Deploying AI-powered voice agents to prompt and record home blood pressure readings among older adults led to more accurate self-reporting, higher rates of blood pressure control, and significant cost savings compared to traditional nurse calls. The system improved quality ratings for Medicare Advantage plans, increased patient engagement, and achieved high satisfaction scores, demonstrating the potential for scalable, technology-driven management of chronic conditions in populations with limited healthcare access.
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