Donovan Bell: Law Firm AI Client Communication Strategy for Client Trust

• Law firms must move beyond simply listing AI tools when communicating with clients, instead providing detailed explanations of their AI processes.
• Clients are asking about AI use in RFPs, security questionnaires, and retainer agreements, requiring deeper, more transparent responses.
• Effective communication involves demonstrating AI's value, its impact on costs, and how human oversight and risk management are integrated.
• Firms risk losing clients if they offer shallow responses, fail to understand client workflows, or exclude technology professionals from discussions.
• A robust law firm AI client communication strategy should include individualized reports detailing AI adoption, process, and risk management to build trust and maintain competitiveness.

A robust law firm AI client communication strategy should include individualized reports detailing AI integration, demonstrating not just efficiency, but also enhanced quality and robust risk mitigation.

The legal industry is undergoing significant transformation driven by artificial intelligence, a disruption frequently highlighted at major technology events like ILTACON 2026. This shift extends beyond the tools themselves, influencing how legal professionals must now articulate their processes. Donovan Bell, a board member for CLOC and Senior Director, Head of Global Operations, Corporate Affairs, Policy, Integrity, Trade & Legal at Intel, draws a parallel to modern education where students are graded not just on correct answers, but on their ability to document the methodology used to achieve those results. Law firms now face a similar imperative when discussing their AI integration with clients.

Responding to client inquiries about AI use with a mere list of adopted technologies is increasingly insufficient and ineffective. Instead, firms are expected to provide a detailed account of their operational procedures. Bell recounted a compelling instance where an outside counsel delivered a comprehensive presentation, illustrating precisely how AI was integrated throughout the entire lifecycle of a legal matter. This demonstration effectively showcased AI's role in enabling work, its contribution to cost reduction, and the specific ways lawyers leveraged technology to ensure superior output quality. Such a thorough explanation resonated deeply with Bell, fostering a desire for further engagement and a strong inclination to collaborate with that particular firm, underscoring the importance of a robust law firm AI client communication strategy.

The challenge of articulating AI use is not trivial, as noted by Litera GC Dennis Garcia, who moderated the panel where Bell shared his insights. Clients are increasingly posing detailed questions about AI in various contexts, including responses to requests for proposals (RFPs), security questionnaires, and during the negotiation or amendment of retainer agreements. While these might seem like straightforward inquiries, a simple enumeration of AI solutions falls short of client expectations legal AI use. A more profound explanation is consistently required.

Firms risk alienating clients and jeopardizing business opportunities if their responses are superficial or formulaic. Clients become wary if a firm promises innovation without establishing a baseline for tracking progress, or if it fails to demonstrate a clear understanding of the client's specific workflows and core challenges. Bell emphasized that clients seek assurance that their legal partners comprehend the fundamental issues they aim to address. Furthermore, a significant red flag emerges when firms present their technological capabilities by featuring only lawyers, neglecting to include their own technology professionals. Rahul Chhabra, formerly a legal operations professional at Meta and now director of applied AI at Herbert Smith Freehills Kramer, highlighted the necessity for firms to cultivate the right internal capabilities to effectively implement and manage these technologies, reinforcing the need for comprehensive law firm AI transparency best practices.

To maintain client satisfaction and competitive standing, law firms must embrace a strategy of detailed and specific disclosure regarding their AI adoption. This approach allows firms to effectively showcase their AI applications and the strategic rationale underpinning their implementation. Key elements for discussion include the precise involvement of human oversight, often referred to as the 'human in the loop,' the methodologies employed for AI risk management client communication, and the specific circumstances under which partner engagement becomes appropriate.

Bell clarified that clients are not merely questioning why billable rates aren't decreasing due to AI. Instead, their inquiries delve deeper, seeking an understanding of the entire matter lifecycle, how costs are optimized, and crucially, how risks are effectively managed throughout the process. Therefore, a comprehensive law firm AI client communication strategy should focus on providing individualized reports that detail AI integration, demonstrating not just efficiency, but also enhanced quality and robust risk mitigation. This level of transparency is vital for responding to client AI questions effectively and fostering enduring client relationships.

Law firms must develop a detailed and transparent strategy for communicating their AI use to clients, focusing on process, risk management, and value, rather than just listing tools. Failure to do so could jeopardize client relationships and new business opportunities, particularly when responding to RFPs or negotiating retainer agreements.

Source: Original reporting via Litera masterclass panel