AI-related litigation and enforcement are no longer a future threat, it’s happening now. Companies are already facing investigations and class actions for overstated AI claims, algorithmic bias, misuse of training data and lack of model transparency. A&M experts examine the compliance landscape and share their structured approach to helping organizations navigate legal, regulatory and reputational AI risks.

In this article, we explore how LLMs are reshaping document review, the risks and rewards of their use, and what this means for legal professionals navigating complex data challenges.

Learn the common-sense, practical methods for family offices to implement strong governance and internal controls to abate risk and safeguard wealth

This article delves into the complexities of programme-based delay analyses, exploring their reliance on the Critical Path Method (CPM) and the challenges posed by static logic, forecast inaccuracies, and misaligned critical paths.