Understanding the Ethics, Use, Acquisition, and Development of AI: Key Affected Practice Areas

As artificial intelligence (AI) continues to reshape industries, the legal profession is no exception. The integration of Generative AI (GenAI) technologies—capable of generating written content, code, and even visual art—has posed both opportunities and challenges for legal practitioners. The ethical, procedural, and substantive aspects of using AI in legal contexts are crucial for attorneys navigating this evolving landscape.

Ethical Guidelines from the ABA: A Primer for Attorneys

In July 2024, the American Bar Association (ABA) released its formal opinion on GenAI, addressing the ethical concerns associated with its use. This guidance emphasizes that lawyers must “fully consider” several ethical obligations, including:

• Competent Representation: Attorneys must ensure that their use of AI tools enhances, rather than undermines, the quality of legal services provided to clients.
• Client Confidentiality: Lawyers must safeguard client information, particularly when utilizing AI tools that could potentially expose sensitive data.
• Communication: Lawyers should maintain transparency with clients about how AI will be used in their legal tasks.
• Supervision: It is essential for attorneys to supervise the use of AI by employees and agents diligently.
• Meritorious Claims: Lawyers must ensure that only genuine, reasonable claims are advanced, maintaining integrity in the legal process.
• Candor Toward the Tribunal: Lawyers have a duty to provide truthful information to the courts, including the disclosure of any AI-generated evidence.
• Reasonable Fees: Attorneys must charge fees that reflect the fair value of the services rendered, considering any efficiencies gained through technological assistance.

Risks in AI Utilization for Litigators

While AI tools promise increased efficiency, various risks accompany their integration into legal practices. These risks can be categorized into two primary groups:

1. Output Risks: This category pertains to inaccuracies or unwanted biases in information generated by AI systems. Common issues include:

   • Hallucinations: AI systems, particularly large language models (LLMs), can generate incorrect information with high confidence. Attorneys must verify AI-generated content to prevent relying on erroneous outputs.
   • Bias: AI systems may reflect biases from training data or algorithmic design, leading to skewed or unfair outcomes.

2. Input Risks: Protecting client confidentiality becomes paramount. Law firms face the risk of accidental breaches if confidential information is introduced into AI systems. As the ABA opinion highlights, lawyers must read and understand the terms of use and privacy policies of the AI tools they utilize. Moreover, safeguards, like confidentiality agreements with GenAI providers, should be implemented to minimize risks.

Substantive and Procedural Issues Arising from AI Use

The adoption of GenAI is leading to new procedural complexities in the legal field, particularly around the authentication of AI-generated evidence and litigation over various substantive legal matters such as:

• Legal Malpractice: Mistakes arising from erroneous AI outputs could lead to liability for attorneys.
• Copyright: Questions of authorship and rights related to AI-generated content are increasingly relevant.
• Data Privacy: The collection and handling of personal data through AI tools must adhere to stringent regulations, including state and federal laws.
• Consumer Fraud: Potential deceitful practices utilizing AI technologies could lead to litigation.

Practice Areas Impacted by GenAI

AI has implications across nearly all areas of legal practice, leading to significant transformations in how professionals engage with clients, handle transactions, and interpret regulations.

Commercial Transactions

As GenAI tools become integrated into commercial agreements, unique challenges arise:

• Representations and Warranties: Lawyers must evaluate whether assurances regarding AI systems adequately cover risks associated with potential software failures.
• Indemnification: Determining liability in transactions involving AI can be complicated, especially when attributing faults in decision-making processes.
• Limitation of Liability: Questions surrounding data protection and breaches necessitate clear contractual terms regarding liability.

Product Liability

The evolving nature of AI technologies introduces novel queries in product liability:

• Autonomous AI systems raise unique questions about standard care and liability frameworks, particularly when the systems operate independently and cause harm.

Data Protection and Privacy

The intersection of AI with data privacy law is complex. Organizations utilizing personal data in AI must navigate regulations like the General Data Protection Regulation (GDPR) in the EU and the California Consumer Privacy Act (CCPA) in the U.S. Understanding these regulations is critical to ensure compliance and mitigate risk.

Intellectual Property

Companies engaged in GenAI technology face specific challenges:

• Protecting GenAI-related innovations through patents, copyrights, or trade secrets requires careful navigation of intellectual property laws.
• Issues of ownership arise when developing or utilizing AI technologies, complicating IP claims.

Employment Law

The use of AI in hiring processes invites scrutiny under anti-discrimination laws:

• AI systems may incorporate biases from their historical data, impacting selection processes unfairly.
• There are risks of privacy violations and potential legal challenges from applicants denied opportunities based on AI-driven analysis.

Health Plans and HIPAA Compliance

Incorporating GenAI to enhance healthcare offerings necessitates strict adherence to regulations like the Health Insurance Portability and Accountability Act (HIPAA). Legal practitioners must ensure their use of AI complies with fiduciary duties and monitor its application in plan participant recommendations.

Antitrust Considerations

AI technologies can facilitate unlawful practices like price-fixing, heightening antitrust risks. Maintaining competitive integrity while leveraging GenAI for strategic advantage is essential.

Conclusion: Navigating a New Era of Legal Practice

As the legal landscape encounters these AI-driven changes, attorneys must comprehend the far-reaching implications of GenAI on their practice. With both risks and opportunities awaiting, ongoing education and adaptation will be crucial for legal professionals aiming to harness the full potential of AI while remaining ethically compliant and client-focused.