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
AAAi Podcast | Episode 14 | Fixing Legal’s Operating System
AAA-ICDR / Legally Disrupted
Bridget McCormack, Zach Abramowitz
“[The hosts] are joined by Jennifer Leonard, founder of Creative Lawyers and a thought leader at the intersection of legal education, public service, and law firm innovation. Leonard shares why true transformation in legal services isn’t just about adopting new tools—it's about fundamentally rethinking systems, roles, and responsibilities. Her insights span the challenges of legal education, the ethical demands of AI, and how lawyers can become designers of better legal systems.”
U.S. State Courts Cautiously Approach AI Despite Efficiency Promises and Staffing Crises
LawSites
Bob Ambrogi
Despite severe staffing shortages and growing workloads, most U.S. state courts remain hesitant to adopt generative AI, citing concerns about overreliance on technology, security, and lack of training. While AI is widely recognized as potentially transformative and could save significant time, barriers like restrictive policies, budget constraints, and digital literacy gaps persist. Courts have embraced other technologies and virtual hearings, but face ongoing challenges in efficiency, cybersecurity, and adapting to workforce generational shifts.
Transforming corporate legal services through AI empowerment
China Business Law Journal
Li Weiming
AI is transforming legal advisory by automating contract reviews, triaging client emails by urgency, and generating real-time legal summaries. Teams now integrate past casework into AI systems to build structured, searchable knowledge bases and use analytics to identify compliance risks proactively. Lawyers are expected to pair legal expertise with technical fluency, applying AI to tailor advice across sectors like tech and energy. AI chatbots and visualized legal reports enhance client access and communication, while smart tools match clients with industry-specific resources. This shift elevates service quality, reduces turnaround time, and strengthens value-added legal support without diminishing the role of human judgment.
Judicial guidance on AI: A timely prompt from the English and Australian courts
DLA Piper
Sohail Ali, et al.
Courts in England, Wales, and Australia are responding to incidents where lawyers submitted false information generated by AI, issuing new guidance that stresses the need for verification, transparency, and ethical oversight when using generative AI in legal work. Legal professionals are now expected to rigorously check AI outputs, disclose AI use, and protect confidentiality, with regulatory bodies and courts prepared to sanction failures. These measures aim to safeguard the integrity of legal proceedings as AI adoption grows.
Generative AI and LLM Developments
Transforming dark data into AI-driven business value
TechRadar
Asif Hasan
Enterprises sit on vast stores of unstructured data that, if left unused, represent lost competitive advantage. Harnessing AI to unify, clean, and operationalize this data enables smarter, faster decision-making across industries. Success depends on high data quality, breaking down silos, and modernizing infrastructure. AI agents are transforming data from passive assets into proactive business intelligence, making real-time, context-driven insights accessible to all employees—not just specialists.
OpenAI’s new ChatGPT Agent can control an entire computer and do tasks for you
The Verge
Hayden Field
OpenAI has launched ChatGPT Agent, an advanced AI tool designed to autonomously handle complex, multi-step tasks—such as scheduling, online shopping, and research—by integrating capabilities from previous tools and operating with its own virtual computer. While still slower than real-time interaction, the agent emphasizes thoroughness and safety, requiring user approval for irreversible actions and restricting financial transactions. This move reflects the industry-wide push toward AI agents that can automate everyday activities.
Alibaba-backed Moonshot releases new Kimi AI model that beats ChatGPT, Claude in coding—and it costs less
NBC Chicago
Evelyn Cheng
Moonshot, a Chinese AI startup backed by Alibaba, has launched Kimi K2, an open-source language model with advanced coding skills, claiming superior performance and much lower costs than top U.S. rivals like OpenAI and Anthropic. While praised for its affordability and openness, Kimi K2 still faces integration challenges. Its release highlights China’s growing competitiveness in generative AI as global companies vie for leadership in this rapidly advancing field.
Meta to spend hundreds of billions on AI data centres
BBC News
Helen Sullivan
Meta plans to invest hundreds of billions of dollars in massive AI data centers across the US, aiming to develop advanced "superintelligence" technology. These facilities, with names like Prometheus and Hyperion, will rival the size of Manhattan and are expected to come online between 2026 and 2030. The initiative highlights Meta's ambition to lead in AI, but also raises concerns over the significant energy and water demands of such large-scale infrastructure.
AI Is Breaking Into a Higher Dimension—Literally—to Mimic the Human Brain and Achieve True Intelligence
Popular Mechanics
Darren Orf
Researchers are pushing beyond current AI limitations by designing neural networks that more closely mirror the brain’s architecture, adding a new “height” dimension with intra-layer links and feedback loops. This structured complexity could enable AI to process information more intuitively and efficiently, potentially unlocking advances in both artificial intelligence and our understanding of the human mind, while moving the field closer to the elusive goal of artificial general intelligence.
AI Regulation and Policymaking
GAIIN: The Global AI Initiatives Navigator
oecd.ai
“As AI evolves, tracking global policies and regulations is more important than ever. Governments respond in various ways by adapting laws, creating new rules, and managing the risks and opportunities associated with AI. GAIIN gives a global overview of what is being done worldwide by providing a central resource of public AI policies and initiatives. It is a vital tool for policymakers to collaborate, help identify key trends, and inform decision-making across countries and organisations.”
Why Business Needs A Hybrid Moral Codex For Human-AI Cohabitation
Forbes
Cornelia C. Walther
As AI systems increasingly shape society, simplistic ethical rules like Asimov’s laws fall short of addressing real-world complexities, such as algorithmic bias, ambiguous harms, and accountability. A dynamic, values-driven “hybrid moral codex” is needed—one that emphasizes fairness, transparency, human well-being, and adaptability. Business leaders must proactively implement ethical frameworks, prioritize human-centered design, and foster ongoing learning to ensure AI advances benefit everyone and build lasting societal trust.
Denmark Is Taking On AI By Letting People Copyright Their Own Faces. In A World Of Deepfakes, It's A Radical Step.
aol.com
Adrian Volenik
Denmark is moving to let individuals claim legal ownership over their own faces, voices, and bodies to combat unauthorized deepfakes, granting people the right to demand takedowns and seek compensation for misuse. The initiative, supported by broad political consensus, aims to set a European standard, while the U.S. response remains inconsistent—cracking down on deepfakes publicly, but secretly developing similar technologies for military purposes.
AI News from Other Fields
LLMs as a Jury: Bringing Quality to Quantity in GenAI-Aided R&D
Elsevier
Ann-Marie Roche
A team at Elsevier has enhanced the reliability of AI-driven research tools by using multiple large language models to evaluate search results, with human experts intervening only when models disagree. This “AI jury” approach has dramatically reduced manual review workloads while maintaining high accuracy, especially in scientific and medical databases. The initiative underscores the importance of combining AI innovation with rigorous quality control in data-intensive fields.
Simulating Human Behavior with AI Agents
Stanford HAI
Joon Sung Park, et al.
Researchers developed AI agents that closely mimic real people's attitudes and behaviors by combining large language models with detailed interview data from over 1,000 participants. These agents demonstrated a high degree of accuracy in replicating survey and experimental responses, suggesting strong potential for social science research. However, the technology raises ethical concerns around privacy and misuse, highlighting the need for careful oversight as such simulations become more advanced.
Bain & Company forms strategic partnership with Dr. Andrew Ng to accelerate AI transformation for clients worldwide
Bain & Company
Bain & Company has formed a strategic partnership with AI expert Dr. Andrew Ng and his advisory firm, AI Aspire, aiming to help businesses move from AI experimentation to large-scale, practical implementation. By combining Bain’s industry and technical expertise with Dr. Ng’s leadership in AI innovation, the collaboration seeks to equip organizations to lead in the rapidly evolving AI landscape and accelerate enterprise-wide adoption of advanced AI solutions.
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