The opinions, etc. focus on the use of generative AI to review and draft documents. Common themes across these jurisdictions include the duty of competence (understanding the technology), confidentiality (not entering client secrets into public AI models), and supervision/verification (lawyers must verify all AI outputs for accuracy).

To keep up with the latest in Artificial Intelligence (AI) use and trends in law firms, see our CLE webinars. CLE credit is available in numerous jurisdictions.

_{Originally Published: January 2, 2026             Last updated: July 25, 2026}

Here is the list of state bar associations that have issued specific guidance:

Alaska

• Issuing Body: Alaska Bar Association

• Document: Ethics Opinion 2025-1 (April 2025)

• Summary: Affirms that it is ethically permissible for lawyers to use generative AI to assist clients, provided the lawyer understands to a reasonable degree how the technology works, verifies the outputs to prevent hallucinations, and maintains client confidentiality.

• Link: Alaska Bar Association Ethics Opinion 2025-1

California

• Issuing Body: The State Bar of California

• Document: Practical Guidance for the Use of Generative Artificial Intelligence in the Practice of Law

• Summary: Initially issued in late 2023, this comprehensive guide addresses duties of confidentiality, competence, and candor. It specifically warns against inputting confidential client information into non-secure AI tools and requires lawyers to review all AI-generated work product. The Bar suggests that, "this Practical Guidance should be read as guiding principles rather than as 'best practices.'" It was unpdated in May 2026 to specifically address "agentic AI" (AI models capable of planning steps and executing tasks autonomously). The update emphasizes that even with autonomous AI, lawyers cannot delegate legal judgment and must manually review any AI-generated filings or decisions.

• Link: California State Bar Practical Guidance (May 2026); California State Bar Practical Guidance (2023 superceded)

District of Columbia

• Issuing Body: D.C. Bar Legal Ethics Committee

• Document: Ethics Opinion 388: Ethics Issues in the Use of Generative Artificial Intelligence

• Summary: Released in April 2024, this opinion emphasizes that lawyers must have a "reasonable understanding" of the technology's capabilities and limitations (specifically hallucinations) and must protect client confidences when using generative AI tools. The opinion make sthe important distinction that, "Lawyers should understand that GAI [generative AI] products are not search engines that accurately report hits on existing data in a constantly updated database. The information available to a GAI product is confined to the dataset on which the GAI has been trained."

• Link: D.C. Bar Ethics Opinion 388

Florida

• Issuing Body: The Florida Bar Board of Governors

• Document: Advisory Opinion 24-1

• Summary: Approved in January 2024, this opinion permits the use of generative AI but mandates that lawyers verify the accuracy of the work product, ensure confidentiality (recommending client consent for third-party AI use involving confidential data), and avoid improper billing practices (e.g., double-billing). The opinion also addresses the use of AI chatbots on attorney websites, advising that, "generative AI chatbots that communicate with clients or third parties must comply with restrictions on lawyer advertising..."

• Link: Florida Bar Advisory Opinion 24-1

Illinois

• Issuing Body: Attorney Registration and Disciplinary Commission (ARDC) of the Supreme Court of Illinois

• Document: The Illinois Attorney’s Guide to Implementing AI

• Summary: Released in late 2025, this guide serves as a practical resource for implementing AI in alignment with ethical duties, including flowcharts and checklists for vetting AI tools.

• Link: ARDC Illinois Attorney's Guide 

Kentucky

• Issuing Body: Kentucky Bar Association

• Document: Ethics Opinion KBA E-457

• Summary: Issued in March 2024, this opinion provides a FAQ-style guide on competence, confidentiality, and billing. It reinforces the lawyer's duty to review the AI output for accuracy and clarifies that lawyers cannot bill for the time spent learning how to use AI, only for the actual benefit provided to the client.

• Link: Kentucky Bar Association Ethics Opinions

Michigan

• Issuing Body: State Bar of Michigan Standing Committee on Judicial Ethics

• Document: Ethics Opinion JI-155

• Summary: While primarily focused on judicial officers, this opinion (October 2023) establishes that judges and lawyers must maintain competence with advancing technology, including AI, to ensure fair and accurate legal proceedings.

• Link: State Bar of Michigan Opinion JI-155

Mississippi

• Issuing Body: Mississippi Bar

• Document: Ethics Opinion 267 (November 2024)

• Summary: Outlines how attorneys can use AI tools ethically, placing a specific focus on navigating confidentiality risks, managing honest billing practices (billing for actual time spent rather than time saved), and client disclosure.

• Link: Mississippi Bar Ethics Opinion No. 267

New Jersey

• Issuing Body: New Jersey Courts / Supreme Court of New Jersey

• Document: Notice to the Bar: Preliminary Guidelines on the Use of Artificial Intelligence by New Jersey Lawyers

• Summary: Released in January 2024, this notice clarifies that the Rules of Professional Conduct apply to AI. It specifically highlights the duty to verify citations (citing the Mata v. Avianca case) and the prohibition against generating false evidence.

• Link: NJ Courts Preliminary Guidelines (PDF)

New Mexico

• Issuing Body: State Bar of New Mexico

• Document: Formal Ethics Opinion 2024-004 (September 2024)

• Summary: Addresses the ethical duties mapped to AI use, focusing on competence, safeguarding data against third-party self-learning models, and the prohibition against submitting unverified AI output to tribunals.

• Link: State Bar of New Mexico Formal Opinion 2024-004

New York

• Issuing Body: New York State Bar Association (NYSBA)

• Document: Report and Recommendations of the NYSBA Task Force on Artificial Intelligence

• Summary: An extensive report (April 2024) detailing the impact of AI on the legal profession, offering regulatory guidelines, and suggesting that while no new ethics rules are immediately needed, existing rules (competence, supervision) must be strictly applied.

• Link: Formerly at NYSBA Task Force Report; not currently available online

• Issuing Body: New York City Bar Association (NYCBA)

• Document 1: Formal Opinion 2024-5 (August 2024)

  • Summary: General guidance on the ethical use of generative AI, noting that routine embedded AI tools (like those in standard legal research software) may not require client disclosure.

  • Link: Formal Opinion 2024-5: Generative AI in the Practice of Law

• Document 2: Formal Opinion 2025-6 (December 2025)

  • Summary: Focuses specifically on the use of AI to record, transcribe, and summarize conversations with clients. It stresses that attorneys should obtain informed consent before using AI meeting assistants (like Copilot or Zoom AI), evaluate the privilege/confidentiality risks of the vendor's data retention policies, and independently review AI-generated transcripts for accuracy.

  • Link: Formal Opinion 2025-6: Ethical Issues Affecting Use of AI to Record, Transcribe, and Summarize Conversations with Clients

North Carolina

• Issuing Body: North Carolina State Bar Council

• Document: Formal Ethics Opinion 2024-1

• Summary: Adopted in late 2024, this opinion focuses on the "competency" requirement, stating that a lawyer must understand the risks of "hallucinations" and data privacy before utilizing AI tools in practice, stating plainly, "A lawyer may not abrogate her responsibilities under the Rules of Professional Conduct by relying upon AI."

• Link: NC State Bar 2024 FEO 1

Oregon

• Issuing Body: Oregon State Bar

• Document: Formal Opinion No. 2025-205 (February 2025)

• Summary: Concludes that Oregon lawyers may use generative AI tools if they take reasonable steps to become competent in the technology. It imposes ongoing obligations to supervise the technology (treating it similarly to a non-lawyer assistant), securely store information to prevent privilege waivers, and consult with clients before using AI if the representation requires it.

• Link: Oregon State Bar Formal Opinion No. 2025-205

Pennsylvania

• Issuing Body: Pennsylvania Bar Association & Philadelphia Bar Association

• Document: Joint Formal Opinion 2024-200

• Summary: This joint opinion outlines best practices, emphasizing that lawyers "must verify all citations and legal analysis" generated by AI and must be transparent with clients about the use of AI if it significantly impacts the representation. It advises lawyers that, "[i]n particular, the use of AI applies to the lawyer’s duties of (1) confidentiality, (2) competence, (3)
  candor, (4) truthfulness, (5) supervision, (6) communication, (7) conflicts of interest, and (8) the unauthorized practice of law..." 

• Link: PBA Joint Formal Opinion 2024-200

Texas

• Issuing Body: State Bar of Texas Professional Ethics Committee

• Document: Opinion 705

• Summary: (Addressed in early 2025) This opinion confirms that while attorneys may use AI, they are ultimately responsible for the work product. It specifically warns against "unthinking reliance" on AI outputs and mandates rigorous verification of case law. In conclusion, it advises that, "lawyers should acquire basic technological competence before using any generative AI tool, should always ensure that the tool does not imperil confidential client information, should always verify the accuracy of any responses received from a generative AI tool, and should not charge clients for the time “saved” by using a generative AI program."

• Link: Texas Opinion 705

Virginia

• Issuing Body: Supreme Court of Virginia / Virginia State Bar

• Document: Legal Ethics Opinion 1901 (November 2025)

• Summary: Clarifies the rules around reasonable fees and generative AI. It states that lawyers are not ethically obligated to reduce a flat fee simply because they completed the work more efficiently using AI. It reinforces a value-based billing approach, so long as the overall fee remains reasonable under the factors of Rule 1.5.

• Link: Virginia State Bar Legal Ethics Opinion 1901

West Virginia

• Issuing Body: Lawyer Disciplinary Board of West Virginia

• Document: Legal Ethics Opinion 24-01 (June 2024)

• Summary: Emphasizes that AI must "supplement, not replace" legal reasoning. Notably, it takes a strict stance on communication, advising that lawyers should consult with clients prior to using artificial intelligence tools during representation and obtain the client's consent for use in writing.

• Link: Lawyer Disciplinary Board of West Virginia Legal Ethics Opinion 24-01

American Bar Association (ABA)

While not a state bar, the ABA's guidance is cited by many states as a baseline.

• Document: ABA Formal Opinion 512 (July 2024)

• Summary: "Lawyers using GAI tools have a duty of competence, including maintaining relevant technological competence, which requires an understanding of the evolving nature of GAI. In using GAI tools, lawyers also have other relevant ethical duties, such as those relating to confidentiality, communication with a client, meritorious claims and contentions, candor toward the tribunal, supervisory responsibilities regarding others in the law office using the technology and those outside the law office providing GAI services, and charging reasonable fees. With the ever-evolving use of technology by lawyers and courts, lawyers must be vigilant in complying with the Rules of Professional Conduct to ensure that lawyers are adhering to their ethical responsibilities and that clients are protected. 

• Link: ABA Formal Opinion 512

The post Ethics Opinions Covering Lawyers’ Use of Generative AI (Artificial Intelligence) appeared first on Continuing Legal Education (MCLE) in California, MCLE Los Angeles, CLE Orange County, Irvine & San Francisco.

The opinions, etc. focus on the use of generative AI to review and draft documents. Common themes across these jurisdictions include the duty of competence (understanding the technology), confidentiality (not entering client secrets into public AI models), and supervision/verification (lawyers must verify all AI outputs for accuracy).

Here is the list of state bar associations that have issued specific guidance:

California

• Issuing Body: The State Bar of California

• Document: Practical Guidance for the Use of Generative Artificial Intelligence in the Practice of Law

• Summary: Issued in late 2023, this comprehensive guide addresses duties of confidentiality, competence, and candor. It specifically warns against inputting confidential client information into non-secure AI tools and requires lawyers to review all AI-generated work product. The Bar suggests that, "this Practical Guidance should be read as guiding principles rather than as 'best practices.'"

• Link: California State Bar Practical Guidance

District of Columbia

• Issuing Body: D.C. Bar Legal Ethics Committee

• Document: Ethics Opinion 388: Ethics Issues in the Use of Generative Artificial Intelligence

• Summary: Released in April 2024, this opinion emphasizes that lawyers must have a "reasonable understanding" of the technology's capabilities and limitations (specifically hallucinations) and must protect client confidences when using generative AI tools. The opinion make sthe important distinction that, "Lawyers should understand that GAI [generative AI] products are not search engines that accurately report hits on existing data in a constantly updated database. The information available to a GAI product is confined to the dataset on which the GAI has been trained."

• Link: D.C. Bar Ethics Opinion 388

Florida

• Issuing Body: The Florida Bar Board of Governors

• Document: Advisory Opinion 24-1

• Summary: Approved in January 2024, this opinion permits the use of generative AI but mandates that lawyers verify the accuracy of the work product, ensure confidentiality (recommending client consent for third-party AI use involving confidential data), and avoid improper billing practices (e.g., double-billing). The opinion also addresses the use of AI chatbots on attorney websites, advising that, "generative AI chatbots that communicate with clients or third parties must comply with restrictions on lawyer advertising..."

• Link: Florida Bar Advisory Opinion 24-1

Illinois

• Issuing Body: Attorney Registration and Disciplinary Commission (ARDC) of the Supreme Court of Illinois

• Document: The Illinois Attorney’s Guide to Implementing AI

• Summary: Released in late 2025, this guide serves as a practical resource for implementing AI in alignment with ethical duties, including flowcharts and checklists for vetting AI tools.

• Link: ARDC Illinois Attorney's Guide 

Kentucky

• Issuing Body: Kentucky Bar Association

• Document: Ethics Opinion KBA E-457

• Summary: Issued in March 2024, this opinion provides a FAQ-style guide on competence, confidentiality, and billing. It reinforces the lawyer's duty to review the AI output for accuracy and clarifies that lawyers cannot bill for the time spent learning how to use AI, only for the actual benefit provided to the client.

• Link: Kentucky Bar Association Ethics Opinions

Michigan

• Issuing Body: State Bar of Michigan Standing Committee on Judicial Ethics

• Document: Ethics Opinion JI-155

• Summary: While primarily focused on judicial officers, this opinion (October 2023) establishes that judges and lawyers must maintain competence with advancing technology, including AI, to ensure fair and accurate legal proceedings.

• Link: State Bar of Michigan Opinion JI-155

New Jersey

• Issuing Body: New Jersey Courts / Supreme Court of New Jersey

• Document: Notice to the Bar: Preliminary Guidelines on the Use of Artificial Intelligence by New Jersey Lawyers

• Summary: Released in January 2024, this notice clarifies that the Rules of Professional Conduct apply to AI. It specifically highlights the duty to verify citations (citing the Mata v. Avianca case) and the prohibition against generating false evidence.

• Link: NJ Courts Preliminary Guidelines (PDF)

New York

• Issuing Body: New York State Bar Association (NYSBA)

• Document: Report and Recommendations of the NYSBA Task Force on Artificial Intelligence

• Summary: An extensive report (April 2024) detailing the impact of AI on the legal profession, offering regulatory guidelines, and suggesting that while no new ethics rules are immediately needed, existing rules (competence, supervision) must be strictly applied.

• Link: Formerly at NYSBA Task Force Report; not currently available online

North Carolina

• Issuing Body: North Carolina State Bar Council

• Document: Formal Ethics Opinion 2024-1

• Summary: Adopted in late 2024, this opinion focuses on the "competency" requirement, stating that a lawyer must understand the risks of "hallucinations" and data privacy before utilizing AI tools in practice, stating plainly, "A lawyer may not abrogate her responsibilities under the Rules of Professional Conduct by relying upon AI."

• Link: NC State Bar 2024 FEO 1

Pennsylvania

• Issuing Body: Pennsylvania Bar Association & Philadelphia Bar Association

• Document: Joint Formal Opinion 2024-200

• Summary: This joint opinion outlines best practices, emphasizing that lawyers "must verify all citations and legal analysis" generated by AI and must be transparent with clients about the use of AI if it significantly impacts the representation. It advises lawyers that, "[i]n particular, the use of AI applies to the lawyer’s duties of (1) confidentiality, (2) competence, (3)
  candor, (4) truthfulness, (5) supervision, (6) communication, (7) conflicts of interest, and (8) the unauthorized practice of law..." 

• Link: PBA Joint Formal Opinion 2024-200

Texas

• Issuing Body: State Bar of Texas Professional Ethics Committee

• Document: Opinion 705

• Summary: (Addressed in early 2025) This opinion confirms that while attorneys may use AI, they are ultimately responsible for the work product. It specifically warns against "unthinking reliance" on AI outputs and mandates rigorous verification of case law. In conclusion, it advises that, "lawyers should acquire basic technological competence before using any generative AI tool, should always ensure that the tool does not imperil confidential client information, should always verify the accuracy of any responses received from a generative AI tool, and should not charge clients for the time “saved” by using a generative AI program."

• Link: Texas Opinion 705

American Bar Association (ABA)

While not a state bar, the ABA's guidance is cited by many states as a baseline.

• Document: ABA Formal Opinion 512 (July 2024)

• Summary: "Lawyers using GAI tools have a duty of competence, including maintaining relevant technological competence, which requires an understanding of the evolving nature of GAI. In using GAI tools, lawyers also have other relevant ethical duties, such as those relating to confidentiality, communication with a client, meritorious claims and contentions, candor toward the tribunal, supervisory responsibilities regarding others in the law office using the technology and those outside the law office providing GAI services, and charging reasonable fees. With the ever-evolving use of technology by lawyers and courts, lawyers must be vigilant in complying with the Rules of Professional Conduct to ensure that lawyers are adhering to their ethical responsibilities and that clients are protected. 

• Link: ABA Formal Opinion 512

The post Ethics Opinions Covering Lawyers’ Use of Generative AI (Artificial Intelligence) appeared first on Continuing Legal Education (MCLE) in California, MCLE Los Angeles, CLE Orange County, Irvine & San Francisco.

For US-based Continuing Legal Education (CLE) providers, the integration of Artificial Intelligence (AI) is a rapidly evolving toolkit that promises to revolutionize how we create, deliver, and market our essential continuing legal educational offerings. From automating tedious tasks to personalizing the learning experience, AI presents a powerful opportunity to enhance efficiency, engagement, and ultimately, our reach within the legal community.

Here’s how CLE providers can leverage AI to stay ahead:

1. Content Generation & Augmentation: Beyond the Blank Page

The most immediate application of AI lies in its ability to assist with content creation, turning legal expertise into compelling educational modules more quickly and efficiently.

• Drafting & Outlining: AI tools can rapidly generate initial drafts of course descriptions, learning objectives, and even module outlines based on a topic prompt. Imagine providing AI with "recent Supreme Court decision on administrative law" and receiving a structured outline for a 60-minute CLE, complete with key takeaways and potential discussion points. This isn't about replacing legal expertise, but jumpstarting the drafting process, freeing up attorneys to focus on the nuanced legal perspectives that can be included in the course.

• Summarization & Extraction: AI can quickly digest lengthy legal documents, recent case law, or legislative updates, and extract key points relevant to a CLE topic. This allows expert presenters to rapidly grasp the essence of complex material, ensuring their content is current and concise.

• Case Study and Hypothetical Scenario Creation: Need a realistic hypothetical for a ethics course? AI can generate detailed, contextually relevant scenarios based on specified parameters, offering diverse and engaging examples for learners. This can also eliminate the potential ethical pitfall of presenters using (potentially) identifiable facts about their clients in their presenations.

• Question Bank Development: AI can generate multiple-choice questions, true/false statements, and short-answer prompts tailored to specific learning objectives, significantly reducing the time required to build robust assessment tools for courses.

2. Personalized Learning Experiences: The Future of Legal Education

One of AI's most exciting potentials is its ability to tailor the learning journey for individual attorneys, making CLE more relevant and impactful for individual attendees.

• Adaptive Learning Paths: Imagine an AI recommending specific modules to a lawyer based on their practice area, prior course history, and identified knowledge gaps. Instead of a one-size-fits-all approach, AI can curate personalized learning pathways, ensuring attorneys get the most relevant education for their professional development.

• Intelligent Q&A Bots: For on-demand courses, an AI-powered chatbot could answer frequently asked questions about the course material or legal concepts, providing instant support. This could reduce the burden on volunteer human instructors, leaving more interesting, complex queries for them to answer.

• Feedback and Remediation: AI can analyze learner performance on quizzes and exercises. This can help identify areas of weakness and suggest supplementary materials or topics for review. This targeted remediation can enhance attendee comprehension and retention.

3. Marketing & Distribution: Reaching the Right Attorneys

Beyond content, AI offers unparalleled capabilities in understanding our audience and optimizing our marketing efforts.

• Audience Segmentation & Targeting: AI algorithms can analyze registration data, website interactions, and demographic information to identify distinct segments within our legal audience. This allows for highly targeted marketing campaigns, promoting relevant CLE courses to the attorneys most likely to benefit.

• Predictive Analytics: AI can forecast demand for certain CLE topics based on current legal trends, legislative changes, and attorney interest. This allows us to proactively develop content for emerging areas of law, ensuring timely and in-demand courses.

• Automated Content Promotion: AI tools can optimize social media posts, email subject lines, and ad copy for maximum engagement. They can also schedule posts at optimal times and identify the best platforms to reach specific attorney demographics.

• Search Engine Optimization (SEO) Enhancement: AI can identify keywords and phrases that legal professionals use when searching for CLE, helping us optimize our course titles, descriptions, and website content to rank higher in search results.

• Personalized Marketing Communications: Instead of generic email blasts, AI can craft personalized email recommendations for courses based on an attorney's past registration history, browsing behavior, and stated preferences, dramatically increasing conversion rates.

4. Operational Efficiencies: Streamlining the Back Office

AI can also tackle the administrative burdens that often consume valuable resources.

• Speaker & Topic Matching: For those of us running large CLE programs, AI can analyze attorney expertise, availability, and past presentation topics to suggest optimal speaker-to-topic pairings, ensuring the best content delivery.

• Administrative Task Automation: In the absence of a dedicated Learning Management System (LMS), AI can automate tasks like sending reminder emails, generating certificates of completion, and updating attorney credit hours, freeing up our team for more strategic initiatives.

• Transcription and Captioning: AI-powered transcription services can rapidly convert audio from webinars and in-person seminars into text, making content accessible to a wider audience and providing source material for written summaries or articles. Transcripts can also be used to close-caption video content to make it more accessible to the hearing impaired.

Integrating AI into CLE production and marketing isn't just about adopting new technology; it's about reimagining how we serve the legal community. By embracing these tools, we can create more engaging, personalized, and impactful educational experiences, ensuring attorneys remain sharp, compliant, and at the forefront of their practice.

The future of CLE is intelligent, and it's here now.

The post AI in the CLE Arena: Elevating Content Creation and Marketing for Legal Educators appeared first on Continuing Legal Education (MCLE) in California, MCLE Los Angeles, CLE Orange County, Irvine & San Francisco.

Artificial Intelligence (AI) is no longer a futuristic concept; it is an active partner in the practice of law, promising efficiencies from legal research to document drafting.

However, the rapid adoption of AI in the practice of law is not without significant risk. For every efficiency gained, there is a potential pitfall that could jeopardize client trust, breach ethical duties, and expose the firm to malpractice liability or severe court sanctions. The excitement around AI must be tempered with vigilance and a clear-eyed understanding of the professional responsibility rules that govern the legal profession.

We must recognize that AI tools are just that - tools; they are not lawyers. The buck, ultimately, stops with the supervising attorney and the firm itself.

Here are the top five high-stakes pitfalls that US-based law firms must actively address when their lawyers utilize AI in the practice of law.

1. The Catastrophic "Hallucination" and the Failure of Competence

The most public and immediate threat posed by generative AI is its propensity for "hallucination," where the AI tool fabricates plausible but entirely nonexistent legal authorities, statutes, or facts. The consequences of submitting a brief to a court that relies on fake case law are severe, leading to judicial sanctions, fines, public reprimand, and a catastrophic loss of professional credibility.

This pitfall strikes at the core of ABA Model Rule 1.1: Competence. A lawyer who fails to verify the accuracy of AI-generated content - especially citations and legal analysis - is failing to provide "thoroughness and preparation reasonably necessary for the representation." In the eyes of the court, ignorance is no excuse; the lawyer remains responsible for every assertion made. Firms must understand that AI's confidence in its output is wholly uncorrelated with its accuracy. Attorneys cannot be lazy about these citations just because they are generated by AI. Now more than ever, what you learned in your first-year Legal Research and Writing class is true. "Cite-checking is important."

2. Breaching Client Confidentiality and Privilege

Law firms are custodians of their clients' most sensitive data. The unauthorized disclosure of confidential information is a fundamental breach of trust and a violation of ABA Model Rule 1.6: Confidentiality of Information.

The AI pitfall here lies in the input. Many popular, general-purpose AI tools (especially those publicly available) may use the data input by a user to train their underlying models. If a lawyer inputs confidential client documents, trade secrets, or litigation strategy into such a tool without ensuring the vendor has robust, legally-vetted privacy protocols, that information could inadvertently become part of the publicly accessible training data for the model. This is an unauthorized disclosure that could waive attorney-client privilege and subject the firm to immense liability and client flight.

3. Algorithmic Bias Leading to Discriminatory Outcomes

AI systems are trained on vast datasets, and if that data reflects historical or societal biases (for instance, in criminal justice records, demographic information, or financial data), the resulting AI output will perpetuate and even amplify those biases.

This pitfall is insidious because the discrimination is hidden behind a seemingly neutral "algorithm," violating a lawyer's obligations regarding fairness and non-discrimination. If a firm uses AI for tasks like predictive policing analysis, e-discovery prioritization, or even internal hiring and promotion decisions, and the tool produces biased results, the firm risks legal challenges under Title VII or other anti-discrimination laws. Worse, it erodes the public's trust in the integrity of the justice system itself. The firm could be seen as outsourcing its ethical responsibility to a "black box" technology.

4. The Erosion of Independent Professional Judgment

A major risk is the over-reliance on AI, where lawyers treat the technology not as a research assistant, but as a definitive authority. This creates an erosion of independent professional judgment, a key element of competent lawyering.

AI is designed to find patterns in data, but it struggles with legal nuance, jurisdictional subtleties, and the human element necessary for effective client strategy. If a junior attorney relies solely on AI for a complex contract clause or a novel legal theory, they may miss critical context, fail to exercise skepticism, and ultimately provide substandard advice. This over-dependence diminishes the value of the human lawyer and potentially increases the firm's exposure to malpractice claims. Firms are hired for their judgment and advice, not their ability to parrot a chatbot.

5. Failure of Supervisory and Training Duties

The adoption of AI necessitates firms to rethink how they approach supervising lawyers and staff, and reviewing their work product. This is especially important in light of ABA Model Rules 5.1 and 5.3 (Responsibilities of Partners, Supervisory Lawyers, and Nonlawyer Assistants).

The final pitfall is the failure of firm leadership to establish and enforce clear, mandatory policies for AI use. Leaving AI implementation to individual attorneys invites chaos. If a partner fails to adequately supervise a junior associate who is using an unauthorized, non-secure AI tool to draft a motion, the partner and the firm can be held professionally responsible for any resulting ethical breach or legal error. This liability extends to non-lawyer staff who may be using AI for administrative or document review tasks without understanding the confidentiality risks.

Solutions: How to Safeguard Your Firm

Avoiding these pitfalls requires a proactive, mandatory, and governance-first approach. Firms are wise to embrace AI, but must do so safely and ethically.

1. Mandate Human Verification and Oversight

• The "Zero Tolerance" Rule for Hallucinations: Enforce a mandatory, documented human review of all AI-generated citations, case law, and factual assertions before submission to a client or court. Treat AI output as a first draft from a highly capable (but fundamentally unreliable) individual.

2. Implement a Vetted-Only AI Policy

• Restrict Tool Usage: Create a firm-approved list of AI tools. This list should exclude all general-purpose AI platforms unless the firm has a dedicated enterprise license that contractually guarantees no client data is used for model training.

• The Confidentiality Triage: Lawyers must be trained to never input confidential, privileged, or personally identifiable client information into an unvetted AI system.

3. Prioritize Technological Competence Training

• CLE Requirements: Make ongoing, mandatory CLE on the benefits, risks, and ethical obligations of AI a requirement for every attorney and relevant staff member. Training must cover how to spot hallucinations and recognize algorithmic bias.

• CLEwebinars.com offers a variety of Continuing Legal Education webinars that cover the opics of law firm implementation of Artificial Intelligence and ways to avoid the kinds of pitfalls discussed here.

4. Establish Clear Supervisory Protocols

• AI Checklist: Incorporate AI usage into existing supervision workflows. Create a checklist for the "Verification of AI Input/Output". Require supervising attorneys to review this "Verification of AI Input/Output" checklist for any work product generated or assisted by AI. This can help ensure accountability under Model Rules 5.1 and 5.3.

5. Open Client Communication

• Informed Consent: Be transparent. If the firm plans to use AI in a material way that involves client data, the firm should consider obtaining informed consent from the client, explaining the benefits and, more importantly, the steps taken to mitigate the risks to confidentiality. This does also give the client the opportunity to opt-out of having AI employed for their matters. Be prepared.

By integrating robust policies, mandatory training, and diligent human oversight, firms can responsibly harness the power of AI while ensuring that the firm’s ethical obligations and commitment to excellence remain uncompromised.

The post Navigating the AI Frontier: Five Pitfalls US Law Firms Must Avoid appeared first on Continuing Legal Education (MCLE) in California, MCLE Los Angeles, CLE Orange County, Irvine & San Francisco.

The Case of Mr. B.

In a groundbreaking case that is likely to have far-reaching implications for the legal profession, an Australian solicitor, Mr. B., is facing disciplinary action for filing fake case citations that were generated by artificial intelligence (AI). This increasingly common incident has raised serious questions about the ethical use of AI in legal practice and the potential consequences of relying on AI-generated content without proper verification.

The Allegations

According to the allegations, Mr. B. submitted court documents containing citations to non-existent cases. Upon closer examination, it was discovered that these citations were not merely incorrect, but were entirely fabricated by a sophisticated AI language model capable of producing human-quality text. It has been reported that Mr. B. used the UK-based generative AI tool LawY to create the document. 

Ethical Implications

The case of Mr. B. has sparked intense debate within the legal community about the ethical implications of using AI in legal practice. While AI can be a valuable tool for tasks such as legal research and document drafting, it is essential that lawyers exercise caution and ensure that AI-generated content is used responsibly. This, however, does not free a lawyer from their obligation to read, understand, and check the cites thay are including the documents they file.

One of the key concerns raised by this case is the potential for AI to be used to mislead the court or to deceive opposing counsel. If lawyers are not careful to verify the accuracy of AI-generated content, they could inadvertently make false or misleading statements in court. This could have serious consequences, both for the lawyer and for their clients.

The Role of Attorneys in Verifying AI-Generated Content

To mitigate the risks associated with using AI in legal practice, it is essential that attorneys take steps to verify the accuracy of AI-generated content. This includes:

• Fact-checking: Attorneys should carefully review AI-generated content to ensure that it is consistent with established legal principles and that it is supported by credible evidence.
• Cross-referencing: If AI-generated content cites to specific cases or statutes, attorneys should cross-reference these citations to ensure that they are accurate and that the cases or statutes support the claims made in the document. Every introductory Legal Research and Writing class teaches the importance of cite checking.
• Disclosure: If AI-generated content is used in court documents, attorneys should disclose to the court that AI was used and should explain the steps taken to verify the accuracy of the content.

The Future of AI in Legal Practice

The case of Mr. B. is a stark reminder of the importance of ethical considerations in the use of AI in legal practice. While AI has the potential to revolutionize the way lawyers work, it is essential that lawyers use this technology responsibly and with a deep understanding of its limitations.

As AI continues to evolve, it is likely that we will see even more innovative applications of this technology in the legal profession. However, it is imperative that the legal community develops clear ethical guidelines and best practices for the use of AI to ensure that this technology is used to enhance the justice system, rather than to undermine it.

Conclusion

The case of Mr. B. is a cautionary tale about the dangers of relying on AI-generated content without proper verification. By understanding the ethical implications of using AI in legal practice and by taking steps to verify the accuracy of AI-generated content, lawyers can help to ensure that this technology is used responsibly and effectively to serve the interests of justice.

US-based attorneys can learn more about the ethical implications of using AI in their practice through continuing legal education courses like these.

The post AI-Generated Legal Citations: A New Frontier in Legal Ethics appeared first on Continuing Legal Education (MCLE) in California, MCLE Los Angeles, CLE Orange County, Irvine & San Francisco.

By Mark Rosch

As the legal profession grapples with the continually-shifting landscape of artificial intelligence (AI), the State Bar of California has taken a first-of-its-kind step forward to help lawyers use the technology in their practices by issuing comprehensive ethics guidance for attorneys who choose to use this powerful technology. This landmark document, titled "Practical Guidance for the Use of Generative Artificial Intelligence in the Practice of Law," provides a roadmap for lawyers to navigate the ethical implications of AI and ensure that its use aligns with their professional obligations.

The Significance of Ethical Guidelines for AI in Legal Practice

The rapid advancement of AI is transforming the legal profession, offering a plethora of tools and resources to enhance efficiency, accuracy, and legal research. However, this technological revolution has also brought about a host of ethical concerns, particularly with regard to the potential for AI to perpetuate bias, infringe on client confidentiality, blur the lines between human and machine judgment, and introduce non-factual information.

The State Bar of California's new ethics guidance addresses these concerns head-on, providing a framework for lawyers to responsibly integrate AI into their practice while upholding their ethical duties to their clients and the legal system. The California Bar stopped short of creating binding standard of conduct that all California attorneys must adhere to when using AI - rather, the Bar advises that "[t]his Practical Guidance should be read as guiding principles rather than as 'best practices.'"

Key Principles of the State Bar's AI Ethics Guidance

The State Bar's AI ethics guidance is anchored in five fundamental principles:

• Competence: Attorneys must possess a thorough understanding of the AI tools they employ, including their capabilities, limitations, and potential biases.
• Client Confidentiality: Client information must be protected with utmost consideration, and lawyers should only use AI with vendors that have robust data security measures in place.
• Diligence: Attorneys must exercise due diligence in selecting, implementing, and monitoring AI tools, ensuring that they are appropriate for the specific legal task at hand.
• Supervision: Attorneys should establish clear policies regarding the permissible uses of generative AI in their practices. Those attorneys must also supervise their attorney and non-attorney staff to assure their use of AI tools conforms to those policies. 
• Communication: Attorneys should clearly communicate to their clients the role of AI in their representation, including the benefits, limitations, and potential risks of using this technology.

Specific Ethical Considerations for AI Use

The State Bar's ethics guidance delves into specific ethical considerations for the use of AI in various aspects of legal practice, including:

• Legal Research: AI can be a powerful tool for legal research, but attorneys must carefully evaluate the trustworthiness and accuracy of AI-generated results.
• Document Review: AI-assisted document review can expedite the review process, but attorneys must remain actively involved in reviewing key documents and ensuring the accuracy of AI-generated summaries.
• Legal Drafting: AI can assist in drafting legal documents, but attorneys must exercise judgment and expertise to ensure that the final product is tailored to the specific legal context and adheres to applicable legal standards.
• Client Communication: AI can be used to enhance client communication, but attorneys must ensure that AI-generated communication is clear, accurate, and tailored to the individual client's needs.
• Billing and Fee Arrangements: Attorneys should not charge clients for time saved by using AI, and billing practices should clearly reflect the human expertise and judgment involved in legal representation.

Conclusion: A New Era of AI-Powered Legal Practice

The State Bar of California's new ethics guidance marks a significant step forward in helping lawyers how they might use AI in their practices and guide them on how AI can be used responsibly and ethically within the legal profession. By providing a framework for attorneys to navigate the ethical implications of AI, these guidelines empower lawyers to harness the power of technology while upholding their fundamental obligations to their clients and the justice system.

As AI continues to evolve and become more prevelant in the legal landscape, the State Bar of California's ethical guidance on the use of Artificial intelligence will serve as an invaluable resource for attorneys, helping the profession to adapt to the changing technological landscape while maintaining its commitment to the ethical foundations of legal practice and commitment to client service.

The post Navigating the Ethical Landscape of Artificial Intelligence in Legal Practice: A First Look at the State Bar of California’s New Guidelines appeared first on Continuing Legal Education (MCLE) in California, MCLE Los Angeles, CLE Orange County, Irvine & San Francisco.

Artificial intelligence (AI) has a growing role in continuing legal education (CLE). AI can be used to automate tasks, provide personalized learning experiences, and assess student progress.

For example, AI can be used to automate the tasks of creating and grading CLE materials. AI can also be used to provide personalized learning experiences by recommending content that is tailored to each student's individual needs. Additionally, AI can be used to assess student progress and identify areas where additional support is needed.

The use of AI in CLE can help to make CLE more efficient and effective. AI can also help to make CLE more accessible to a wider range of learners.

Here are some specific examples of how AI is being used in CLE:

• Automated grading: AI can be used to automate the task of grading CLE materials. This can save time and improve accuracy.
• Personalized learning: AI can be used to provide personalized learning experiences by recommending content that is tailored to each student's individual needs. This can help students to learn more effectively.
• Assessment: AI can be used to assess student progress and identify areas where additional support is needed. This can help students to improve their learning outcomes.

Overall, AI has a growing role in CLE. AI can be used to automate tasks, provide personalized learning experiences, and assess student progress. This can help to make CLE more efficient and effective.

The post Does AI have a place in Continuing Legal Education? – An Experiment appeared first on Continuing Legal Education (MCLE) in California, MCLE Los Angeles, CLE Orange County, Irvine & San Francisco.

A defense attorney in Florida is believed to be the first to use artificial intelligence-based facial recognition software to exonerate a client.

The New York Times is reporting that Patrick Bailey of Ft. Meyers, FL succesfully requested access to Clearview AI's facial recognition software in order to identify a witness who could testify whether Bailey's client caused a traffic accident that resulted in the death of the client's friend.

Clearview AI is a privately-owned, U.S. based company, that has "developed a revolutionary, web-based intelligence platform for law enforcement to use as a tool to help generate high-quality investigative leads. [Their] platform, powered by facial recognition technology, includes the largest known database of 30+ billion facial images sourced from public-only web sources, including news media, mugshot websites, public social media, and other open sources." 

Jerome Greco, who oversees a forensics technology lab at the Legal Aid Society, in New York City told the New York Times, “this is mostly being done as a P.R. stunt to try to push back against the negative publicity that Clearview has about its tool and how it’s being used by law enforcement.”

While this case may be a one-off for now...is the genie now out of the bottle setting a precedent for defense attorneys to have access to these powerful tools?

Read the full story at the New York Times.

_{Last Updated: 3 October 2022}

The post Florida Attorney Uses AI Facial Recognition Software to Exonerate Client appeared first on Continuing Legal Education (MCLE) in California, MCLE Los Angeles, CLE Orange County, Irvine & San Francisco.