US Legal: Client AI Use Impacts Litigation Work Product Doctrine

• Clients are increasingly using AI tools, often without their lawyers' awareness.
• Undisclosed client AI use can create significant strategic challenges in litigation.
• Courts are already evaluating how AI-generated content impacts work product protection.
• The applicability of work product protection depends on factors like the litigation stage and who initiated the AI research.
• Attorneys must proactively inquire about client AI activities to mitigate case risks.

Attorneys bear a responsibility to inquire about their clients' AI practices to assess potential work-product protection issues and broader litigation risks.

Even as legal professionals consider their own adoption of artificial intelligence, a significant number of clients are already integrating these tools into their operations, often without their legal counsel's knowledge. This growing disparity in AI usage presents considerable strategic challenges, particularly when litigation arises. The unannounced application of AI by a client, such as using a chatbot to query legal questions, can introduce unforeseen complications into a case.

This disconnect between client practices and attorney awareness carries the potential to significantly disrupt legal proceedings. If attorneys do not proactively address and understand their clients' engagement with AI from the outset, a seemingly minor action, like a client's independent AI legal research, could lead to severe setbacks, potentially derailing the entire case. The implications extend beyond mere convenience, touching upon fundamental aspects of legal strategy and evidence management.

The legal landscape is rapidly evolving to address the issues that emerge when parties utilize AI tools for research or content generation. Courts have already begun to grapple with how these new technologies impact established legal doctrines, most notably the work product doctrine AI. The applicability of work product protection to AI-generated materials is not straightforward and depends on several critical factors that attorneys must consider.

Key determinants for whether AI-assisted work qualifies for protection include the specific stage of litigation at which the AI was employed, and the status of the individual using the AI tool. For instance, the analysis differs if the user is appearing pro se versus being represented by counsel. Furthermore, it is crucial to ascertain whether the AI research was conducted at the explicit request of the attorney, or if a third party was enlisted to query the AI tool on behalf of the client. These nuances highlight the complex interplay between client AI use litigation work product considerations and traditional legal protections.

The failure to properly manage client AI use can introduce substantial AI legal research risks, impacting discovery processes and the assertion of attorney-client privilege AI. If client-generated AI content is not identified and handled appropriately, it could become discoverable, potentially revealing sensitive information or undermining legal arguments. This underscores the imperative for lawyers to engage in candid discussions with their clients about their AI activities.

Attorneys bear a responsibility to inquire about their clients' AI practices to assess potential work-product protection issues and broader litigation risks. Proactive communication is essential to prevent situations where client-generated AI content, if not properly managed or disclosed, could inadvertently compromise the case. Understanding these dynamics is a critical component of modern generative AI legal ethics, ensuring that legal teams can effectively navigate the complexities introduced by new technologies.

The importance of understanding these emerging challenges is echoed by industry leaders. Greg Dickason, who serves as the chief technology officer and head of the LexisNexis Customer Innovation Lab, has highlighted the critical nature of these considerations. His insights underscore that while attorneys may not yet be fully immersed in AI, their clients undoubtedly are, creating a potential gap in awareness that carries significant legal ramifications.

This perspective from the LexisNexis Customer Innovation Lab emphasizes that the strategic implications of client AI use are not theoretical but are actively shaping the legal environment. Lawyers must bridge this knowledge gap to effectively represent their clients and safeguard their interests in an increasingly AI-driven world, particularly concerning the protection of sensitive information and the integrity of legal strategy.

Lawyers must proactively inquire about clients' AI use to assess potential work-product protection issues and litigation risks, especially regarding discovery and privilege claims. Failure to do so could derail a case if client-generated AI content is not properly managed or disclosed.

Source: Insights derived from original reporting via LexisNexis