Attorney-Verified AI: The New Standard for Regulatory Defensibility
With artificial intelligence (AI) now playing an increasingly central role in the compliance landscape, banks face an added layer of regulatory scrutiny. As organizations begin leveraging the latest technology to streamline compliance and clear rising supervisory standards, regulators are paying close attention to the tools being used and whether they operate in a transparent, auditable, and reliable way.
At every bank, AI tools and vendors must undergo a thorough vetting process: leaders must determine whether a tool can stand up to regulatory scrutiny and demonstrate a clear commitment to meeting compliance obligations in the eyes of examiners. As such, it is important that leaders understand exactly what regulators are looking for, and what transparent, auditable, and reliable AI looks like in practice.
Understanding the Regulator Point of View
Regulators have long approached the use of AI with caution, particularly in areas involving customer data and customer-related decision-making. Evaluative AI tools, like those used in consumer credit decisions, can unintentionally reflect racial, demographic, or socioeconomic biases embedded in historical data. If left unchecked, these issues can lead to unfair outcomes, violations of fair lending rules, and significant reputational risk for banks.
Regulators are also wary of generative AI. While these tools unlock meaningful efficiency gains, they can often produce incomplete, inaccurate, or inconsistent information, and in many cases, the underlying reasoning or data source behind an answer cannot be easily identified or recreated at a specific moment in time. This lack of auditability makes it difficult for banks to validate results, respond to examiner questions, or demonstrate sound governance—raising red flags for regulators focused on accountability, procedural soundness, and documentation.
How Attorney-Verified AI Wins Regulatory Trust
To garner regulatory confidence, AI tools must be purpose-built to align with supervisory expectations. CompliSolv was designed with this standard in mind. It contains a comprehensive library of more than 83,000 compliance requirements developed—and regularly updated—with rigorous oversight from legal experts. The platform uses AI to produce legally validated, plain-English summaries with a control mapping mechanism to ensure that bank controls are always up to date. Notably, these updates are summarized, date stamped, and presented in a convenient plain English track changes format to grant compliance teams direct visibility to what changed, and when. Because every summary is firmly grounded in a subject matter expert’s interpretation of the law, this all-in-one approach helps to capture regulatory nuances and demonstrate to regulators that the bank’s compliance program will meets expectations without inventing or introducing unverified information.
Unlike consumer evaluative or generative AI tools, CompliSolv has no access to customer data or potential for "hallucination." It provides complete transparency into every facet of compliance, helping teams respond faster to new requirements without sacrificing oversight or documentation. The result is an AI-enabled solution that is safe, defensible, and cost-effective, giving banks confidence that they can leverage AI without inviting added regulatory or examiner scrutiny.