News You Can Use

Garfield AI uses generative AI to lead service delivery, with humans in the loop only when necessary. The firm focuses on high-volume, low-complexity work like NDAs and employment contracts, offering fixed-fee pricing and 24/7 availability.

This signals a bold new model in legal services: one where AI isn't just a tool but the central operator. While this may not yet apply to complex matters, clients may soon expect faster, cheaper, and AI-led service for simpler legal tasks. This is primarily aimed at individuals / SMEs, but the concepts around almost 100% AI delivery of standardised work has implications across our ALS offering and the reliability of AI tools.

Mark Cohen argues that legal transformation is no longer optional. With the convergence of business pressures, technology, and new providers (like ALSPs and AI startups), traditional legal service models are being outpaced. The article emphasises the shift from lawyer-centric to client and outcome-centric services, and calls for law firms to integrate multidisciplinary talent, modern workflows, and data-informed delivery.

As expectations evolve, our internal tools (like AGPT, Deal Clarity, and automation tools) are no longer "nice to have" but essential components of a modern legal service offering. We should continue aligning with clients' pain points such as speed, cost, and predictability, to showcase how our solutions are designed to meet those exact needs.

PwC defines "agentic AI" as a new phase of GenAI where systems can plan, reason, and act independently to complete complex tasks across domains. The playbook outlines how enterprises can prepare for this shift by focusing on robust governance, system orchestration, and new talent models.

As our team experiments with tools like Power Automate, Copilot Studio, and AGPT, we're already laying the groundwork for agentic capabilities. This trend validates our direction and offers an opportunity to lead client conversations about automation readiness.