Saturday, August 9, 2025

Billing for Generative AI: Is It Possible?

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The Evolving Landscape of AI in Legal Billing: Insights and Considerations

Artificial intelligence (AI) is increasingly becoming a vital ally in the legal profession, transforming how lawyers conduct research, draft documents, and analyze information. Lawyers now have access to tools that enhance their efficiency and effectiveness, from legal research to background searches on witnesses. This evolution mirrors the shift from traditional book-based research to sophisticated computer systems like Westlaw and Lexis. As legal practitioners embrace this technology, new questions related to billing practices have emerged, particularly concerning generative AI.

As many states and the American Bar Association (ABA) have started to address the ethical implications of AI use in legal billing, Maryland’s various ethics committees are still in the early stages of defining their stance. For instance, Virginia recently adopted Legal Ethics Opinion 1901, which assists lawyers in determining how to ethically bill for generative AI services, especially under flat fee or alternative billing arrangements.

Fee Determination and Ethical Guidance

In its guidance, the Virginia State Bar (VSB) highlighted that while generative AI can significantly reduce the time spent on certain tasks, the creation and application of AI models involve substantial expertise. This means that the time and effort invested by lawyers in mastering AI technology should also be considered in billing practices. Consequently, Virginia’s opinion suggests that efficiency gains from using AI should not automatically equate to lower fees.

Compounding this, the ABA’s Opinion 512 posits that time reductions may render the fee unreasonable. This raises the question of how lawyers are expected to navigate this complex landscape of billing—where the deployment of cutting-edge technology challenges traditional fee structures.

Rule 1.5: Reasonableness of Fees

In assessing fees under Rule 1.5—as articulated in both Virginia’s and Maryland’s ethics rules—the necessity for fees to be reasonable is paramount. For Maryland practitioners, Rule 19-301.5(a) reinforces that flat fees and alternative billing methods can be ethically acceptable, provided that they are justifiable. This means that lawyers may charge non-hourly fees that reflect both the efficiency gained through generative AI tools and their unique skill sets in implementing such technology.

Transparency and Client Communication

Crucially, transparency with clients is essential. Lawyers must provide clear explanations of their fee structures, ideally in writing. This approach not only builds trust but also ensures compliance with ethical mandates. Should firms opt to introduce specific charges for generative AI services, engagement letters should detail these fees explicitly, avoiding any misunderstandings that could arise later.

Competence and Effective Use of AI

While AI can be a powerful tool, lawyers must use it judiciously. Proper use of AI entails not merely relying on technology but also ensuring thorough verification of outputs. Failure to fact-check legal precedents and documents can lead to violations of various ethical rules, such as Rule 1.1 concerning competence and Rule 1.6 related to confidentiality.

Moreover, adherence to Rules 3.1 and 3.3 is vital, as these govern the pursuit of only meritorious claims and the duty to be candid with the Court. Legal professionals must be wary of breaching Rule 8.4, which relates to misconduct. Missteps in employing AI not only jeopardize individual cases but could potentially lead to public charges regarding improper conduct.

An important amendment to Maryland’s Rule 19-301.15 emphasizes the importance of managing fees related to generative AI correctly. According to this amended rule, all fees, regardless of their nature—whether flat or alternative—must be deposited into trust accounts until earned. This adjustment underscores the need for attorneys to manage their finances responsibly and ethically. When incorporating generative AI into their practices, lawyers must ensure that any unearned fees are channeled into their IOLTA accounts and only transferred post-earning.

As the legal field continues to evolve with the introduction of AI technologies, it is clear that practitioners will need to adapt their billing practices accordingly. While states like Virginia provide valuable ethical frameworks, Maryland’s approach remains to be fully articulated. Regardless, the overarching principles of reasonableness, transparency, and client communication will remain central to navigating the complexities introduced by AI in legal billing.

For legal professionals looking to harness the power of AI, understanding these ethical considerations is crucial. As more guidance comes to light, it will be fascinating to see how the legal landscape continues to adapt, innovate, and embrace this technological revolution while staying true to its ethical obligations.

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