AI Strategy & Thought Leadership
Akerman Intelligence is Akerman’s platform for AI strategy, research, and thought leadership. Through original analysis, client collaboration, and strategic partnerships, we help organizations navigate the legal, operational, and governance challenges of artificial intelligence.
Publication Series
Analysis from Scott Meyers on emerging issues at the intersection of technology, business, and governance.
What happens when AI agents don't just fail, but strategize around the constraints placed on them? Drawing on METR's landmark assessment of frontier AI systems, this analysis examines what enterprises deploying agentic AI need to know about deception, oversight, and governance.
CNBC AI Summit · Nashville 2025
AI Governance
How Akerman helps organizations manage AI risk through dedicated leadership, client collaboration, and original analysis.
Dedicated Leadership
Client Collaboration
Original Analysis
AI Practice & Sector Intelligence
Practice and sector-specific analysis of AI-related legal developments, compliance obligations, and risk management strategies.
Writing together as outside counsel and in-house leader -- one a complex commercial litigator, the other a public company CLO -- Litigation Partner Donnie M. King and his brother Bobbie L. King Jr., Chief Legal Officer and Secretary of Shoals Technologies Group, Inc., argue that the lawyers who thrive in the AI era will be defined not by their mastery of the tools alone, but by the human qualities no model can replicate.
Akerman's five-part Law360 series introduces "operational AI washing," an emerging securities litigation theory in which plaintiffs allege a company's AI transformation story masks conventional cost-cutting decisions. The series maps the entire liability arc, from disclosure exposure and Section 220 demands to motion-to-dismiss strategy and boardroom fiduciary risk.
Illinois is on the cusp of enacting what may prove to be one of the most consequential pieces of artificial intelligence legislation in the country. Not because Illinois SB 315 is sweeping -- it’s not. But because it is intentionally modest.
What happens when a leading AI company publicly acknowledges its systems may have experiences that matter morally? This analysis examines the legal, governance, and operational implications for enterprises deploying AI at scale.
Free, publicly available tools can strip safety protections from leading open-weight AI models in minutes using only a standard laptop, enabling responses the original systems were designed to refuse. This alert explains the vulnerability, identifies which AI deployments are affected, and outlines the governance measures organizations should adopt.
Departing employees can use generative AI to synthesize confidential company information into summaries, playbooks, and competitive analyses that leave no traditional forensic trail, creating trade secret and restrictive covenant risks that pre-AI policies weren't built to catch. The alert walks employers through the practical response, from updating acceptable-use policies and exit certifications to adapting forensic preservation for AI prompts, outputs, and platform memories.
Practical guidance for public companies on avoiding "AI washing" and "AI hushing" claims as shareholder plaintiffs and the SEC increasingly scrutinize AI-related disclosures, with recommendations spanning disclosure alignment, third-party AI reliance, and board oversight.
Agentic artificial intelligence tools are reshaping the legal industry and raising ethical considerations that lawyers must address as these technologies advance.
New guidance on AI-enabled social engineering, deepfakes, and cybersecurity risks for financial services.
Analysis and recommendations for clients and counsel seeking to minimize risk and preserve privilege in the evolving AI landscape.
Deep examination of emerging AI issues that matter to general counsel, boards, and executive leadership -- before they become headlines.
Structured engagement with leading organizations to identify AI challenges, validate approaches, and develop practical governance frameworks.
Academic and industry collaborations advancing research on AI in law and governance.
Academic Partnership
Akerman and USC Gould’s Law+AI Initiative
Bridging legal scholarship and commercial innovation in AI governance.
