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10 Leads - Legal Applications & Advisory
1. Daniel Schwarcz, Tom Baker, & Kyle Logue
Publication: "Regulating Robo-Advisors in an Age of Generative Artificial Intelligence" (Washington and Lee Law Review, 2025) Focus: Examines the regulatory landscape for AI-powered robo-advisors, highlighting both the transformative potential and risks of generative AI in financial services. Argues current regulations are insufficient to protect consumers from inappropriate financial products and misconduct. Why included: Leading legal scholars providing a comprehensive, current analysis of AI’s impact on financial advice and the legal frameworks needed. 2. LSE Law School (Industry Insights Report)
Publication: "AI in Law & the Legal Profession – Industry Insights Report" Focus: Interdisciplinary analysis of how AI is reshaping legal workflows, monetisation models, and the advisory role of lawyers. Cites Goldman Sachs’ estimate that up to 44% of legal tasks could be automated. Why included: Authoritative research on the practical transformation of legal services by AI. 3. Thomson Reuters (Future of Professionals Report)
Publication: "Creating New Advisory Service and Pricing Models with AI" (2024) Focus: Explores how AI is enabling law firms to shift toward advisory services, modernize billing models, and leverage generative AI for greater efficiency and value. Why included: Market-leading provider with deep practical insight into legal and accounting AI adoption. Financial Advisory & Ethics
4. Andrew W. Lo
Publication: Research presented at the 2024 MIT AI Conference, "Can Generative AI Provide Trusted Financial Advice?" Focus: Investigates whether large language models can deliver personalized, trustworthy financial advice, finding that domain-specific modules are essential for accuracy and regulatory compliance. Why included: MIT Sloan professor and director of the Laboratory for Financial Engineering, Lo is a global authority on AI in finance. 5. L Brüggen et al.
Publication: "An Ethical Discourse on AI-Based Financial Advice and Robo-Advisors" (Journal of Financial Services Marketing, 2024) Focus: Identifies ethical issues in AI-based financial advice, including bias, transparency, and access, and recommends policy interventions for responsible AI deployment in financial services. Why included: Scholarly, peer-reviewed analysis of ethics in AI-driven financial advice. Futurists & Technologists
6. Mustafa Suleyman
Publication: "The Coming Wave: Technology, Power, and the Twenty-First Century’s Greatest Dilemma" (2023) Focus: Explores the societal and ethical implications of rapidly advancing AI, warning of risks and offering strategies for responsible governance. Why included: Co-founder of DeepMind and Inflection AI; a leading voice on the future of AI and its global impact. 7. Devoteam Experts
Publication: "Ethical AI Examples: 4 Case Studies to See Before You Start Innovating" (2025) Focus: Showcases real-world case studies (e.g., Trustap) implementing ethical AI frameworks in financial and legal tech, with actionable checklists for responsible AI. Why included: Provides practical, industry-driven examples of ethical AI in action. 8. Osborne Clarke AI Team
Publication: "Succeeding with AI – Artificial Intelligence Lawyers" (2025) Focus: International law firm with pioneering authors on AI law, offering guidance on AI governance, risk assessment, and legal frameworks for AI deployment. Why included: Recognized for leadership in AI law and practical legal advisory for AI projects. Ethics, Governance, and Societal Impact
9. UX Planet Contributors
Publication: "Ethical AI: Shaping the Future" (2024) Focus: Outlines a blueprint for ethical AI, emphasizing transparency, bias mitigation, privacy, and societal well-being. Why included: Widely referenced for its accessible, actionable approach to embedding ethics in AI systems. 10. CEO Weekly Contributors
Publication: "The Future of AI Ethics: Leading the Way in Robotics & Tech" (2024) Focus: Discusses the need for ethical leadership in AI, the importance of transparency, stakeholder engagement, and education to ensure technology serves humanity. Why included: Highlights the intersection of ethics, leadership, and the societal consequences of AI. Key Themes Covered:
Legal and Financial Advisory: Regulatory frameworks, automation of legal/financial services, practical adoption. Futurism & Technology: Societal risks, governance, and the trajectory of AI’s impact. Ethics: Bias, transparency, privacy, and responsible AI deployment. Practical Use Cases: Real-world implementations and advisory models. These authors and publications are shaping the discourse on AI’s integration into legal and financial advisory, as well as its broader ethical and societal implications.
Richard Susskind
Key Publication:
How to Think About AI: A Guide for the Perplexed
Publisher: Oxford University Press, 2025 Summary:
Susskind’s latest book is a non-technical, accessible guide that demystifies artificial intelligence for general readers and professionals. Drawing on over 40 years of experience, he explores AI’s business, legal, ethical, management, and philosophical implications. The book addresses common confusions about AI’s capabilities, risks, and regulatory challenges, and positions current generative AI tools as just the beginning of a much larger technological transformation. Susskind urges readers to look beyond today’s technologies and consider the profound changes AI will bring in the coming decades, including the potential for conscious machines and AI-enabled virtual worlds. Why It Matters:
Susskind is the world’s most cited author on the future of legal services. His work is especially valuable for legal professionals and policymakers seeking clear frameworks for understanding and ethically navigating AI’s impact on law, risk, and client service. He provides practical mental models for lawyers to meet new ethical obligations in the age of AI. Additional Influence:
Susskind’s writing and talks frequently address the transformation of professional services, advocating for “outcome-thinking”—focusing on the results clients want rather than traditional roles or processes. He is a leading figure in discussions about AI’s role in reshaping the legal profession and the need for lawyers to adapt to rapidly evolving technology. Ethan Mollick
Key Publication:
Co-Intelligence: Living and Working with AI
Publisher: Penguin Portfolio, 2024 Summary:
Mollick’s bestselling book explores how humans can work alongside AI as co-workers, co-teachers, and coaches. He provides dozens of real-world examples showing how AI can transform business, education, and creative work. Mollick argues for a “co-intelligence” approach—actively engaging with AI to augment human abilities without losing our identity or critical judgment. The book is optimistic yet grounded, offering practical guidance for leveraging AI’s power while remaining aware of its limitations and risks. Why It Matters:
Mollick is an Associate Professor at Wharton and co-director of its Generative AI Labs. He is recognized for his hands-on, research-based insights into how AI affects work, entrepreneurship, and education. His writing, including his widely read Substack “One Useful Thing,” is influential among business leaders, educators, and technologists seeking actionable advice on integrating AI into their workflows. Additional Influence:
Mollick’s research and public talks often focus on the practical and ethical implications of AI in professional settings, emphasizing the need for human agency and critical oversight. He has published on AI’s role in legal and financial advisory contexts, demonstrating how AI can displace traditional roles but also create new opportunities for efficiency and democratization of expertise. Mollick’s “four guiding principles for leading with AI” are widely cited for helping organizations adopt AI responsibly: always involve AI, keep a human in the loop, treat AI as a tool (not a person), and experiment boldly but thoughtfully. In Summary
Richard Susskind provides foundational thinking and ethical frameworks for legal professionals navigating AI’s rise, while Ethan Mollick delivers practical, research-driven strategies for integrating AI into business, education, and advisory work. Both are essential reading for anyone interested in the future of professional services, the ethical deployment of AI, and the broader societal impact of these technologies.
The AI-Driven Leader: Harnessing AI to Make Faster, Smarter Decisions by Geoff Woods (2024/2025) is a practical leadership guide for executives and managers seeking to leverage artificial intelligence as a strategic partner in decision-making and organizational growth.
Quick Summary
Central Premise:
The book argues that the ability to think and act strategically—rather than getting stuck in day-to-day operations—is what separates thriving businesses from those that fail. AI is positioned as a “Thought Partner” that can help leaders escape operational overwhelm, make better decisions faster, and drive business growth. Strategic Decision-Making: Integrates AI into leadership practices to filter information, challenge biases, identify growth strategies, conduct scenario planning, and align actions with long-term goals4. Execution and Prioritization: Shows how AI can break down strategies into actionable milestones, manage priorities, and increase organizational impact4. Asking Better Questions: Emphasizes the importance of insightful questions in leadership and how AI can help leaders frame and explore these questions more effectively4. Overcoming Limitations: Addresses common leadership challenges such as information overload, limited perspective, and reluctance to delegate, showing how AI can help leaders “think bigger” and overcome these barriers4. Thinking Leverage: Encourages empowering teams to solve problems independently, with AI prompting deeper analysis and critical thinking4. Identity and Growth: Discusses how embracing AI can help leaders evolve from simply “doing” to strategically “becoming,” fostering both personal and organizational transformation4. Practical Tools:
The book provides real-world examples, prompts, and actionable strategies in every chapter, enabling immediate application of AI-driven leadership principles. Ethics and Human-Centered Leadership:
Woods stresses the importance of aligning AI utilization with organizational values and ethical standards, ensuring that technology serves human goals rather than replacing them. Why It’s Relevant
For Whom:
Designed for both tech-savvy professionals and seasoned leaders looking to integrate AI into their management practices. Impact:
Offers a clear, actionable path for leaders to innovate, adapt, and maintain a competitive edge in the AI era. Endorsements:
Praised by industry leaders for simplifying AI adoption and delivering immediate business value. In summary:
The AI-Driven Leader is a timely, accessible playbook for executives who want to transition from operational firefighting to strategic, AI-empowered leadership—making it a must-read for anyone leading teams or organizations through digital transformation4. 
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