$79 TX CLE - 15 Credits

ABA Ethics Rule 1.1 and Electronic Data Discovery

TX CLE Requirements Credit Type: Ethics

TX CLE Course Details:

This course explores the intersection of ABA Model Rule 1.1 and Electronic Discovery (E-Discovery), emphasizing the need for attorneys to stay technologically competent in a rapidly evolving digital landscape. It delves into the ethical and legal obligations attorneys must uphold when handling electronically stored information (ESI), including best practices for data preservation, metadata management, cybersecurity, and cross-border discovery challenges. The course examines the growing role of artificial intelligence, predictive coding, and cloud storage in modern litigation, highlighting both the efficiencies they provide and the risks they present. Special attention is given to privacy laws, ethical considerations in data collection, and the importance of defensible deletion strategies. By integrating discussions on proportionality principles, cost-shifting, and spoliation risks, this course equips attorneys with the necessary tools to navigate digital evidence effectively while ensuring compliance with ABA ethical standards. Ultimately, it underscores the importance of ongoing legal education and collaboration with technology experts to maintain competence and uphold the integrity of the legal profession.

Faculty:

• Berry Crawford

ABA Ethics Rule 3.3 and Electronic Data Discovery

TX CLE Requirements Credit Type: Ethics

TX CLE Course Details:

The course provides an in-depth exploration of ABA Model Rule 3.3 and its critical application to electronic discovery, emphasizing the attorney?s duty of candor toward the tribunal. It examines ethical obligations to disclose adverse legal authority and correct misrepresentations in both traditional and digitally stored evidence, addressing challenges such as metadata integrity, preservation of electronic evidence, and the complexities introduced by advanced technologies like AI, blockchain, and predictive coding. Additionally, the course discusses practical issues including client fraud, improper handling of encrypted or cloud-based data, and the ethical pitfalls of automated document review, ensuring that legal professionals are well-equipped to maintain the accuracy, transparency, and integrity of digital evidence in modern litigation.

Faculty:

• Berry Crawford

AI Deep Dive for Attorneys: AI Taxonomy and Terminology

TX CLE Requirements Credit Type: General

TX CLE Course Details:

This course, "AI Deep Dive for Attorneys: AI Taxonomy and Terminology," provides an in-depth exploration of artificial intelligence (AI), emphasizing its relevance to the legal profession. It defines AI broadly, covering various subsets such as machine learning, generative text, image, and video AI, as well as supervised, unsupervised, semi-supervised, reinforcement, and self-supervised learning. The course discusses practical applications in legal contexts, from enhancing document analysis and evidence management to predictive legal analytics. It also addresses potential legal issues related to privacy, intellectual property, liability, algorithmic bias, and compliance. By examining specific AI technologies including facial recognition, object detection, self-driving cars, drones, robotic assistants, virtual assistants, and AI-powered recruitment and trading agents, the course underscores both the transformative potential and the legal challenges associated with AI integration into law practice.

Faculty:

• Berry Crawford

AI Deep Dive for Attorneys: Computer Vision

TX CLE Requirements Credit Type: General

TX CLE Course Details:

This course, An AI Deep Dive for Attorneys: Computer Vision, provides legal professionals with a comprehensive understanding of how computer vision, a branch of artificial intelligence, intersects with legal practice. It begins by introducing the fundamentals of computer vision and its growing relevance in law, especially in areas such as surveillance, intellectual property, discovery, and digital evidence. The course explores technical concepts including neural networks and deep learning while addressing legal challenges related to evidence admissibility, privacy, algorithmic bias, and ethical concerns. It also covers practical applications in forensic investigations, litigation, document verification, and regulatory compliance, equipping attorneys with the knowledge to navigate and leverage these technologies effectively in their legal work.

Faculty:

• Berry Crawford

AI Deep Dive for Attorneys: Large Language Models

TX CLE Requirements Credit Type: General

TX CLE Course Details:

This course, "AI Deep Dive for Attorneys: Large Language Models," provides attorneys with a comprehensive understanding of Large Language Models (LLMs), covering their definition, training processes, and implications for legal practice. Participants learn how LLMs use neural networks trained on vast text datasets to perform versatile language-based tasks, such as drafting legal documents, conducting research, and automating routine tasks, thereby significantly impacting fields like customer service, education, journalism, and especially law. The course emphasizes critical ethical considerations, including attorney-client confidentiality, data privacy (GDPR compliance), bias and fairness in outputs, and intellectual property rights. Additionally, it explores practical strategies for attorneys to integrate LLMs responsibly into their workflows, addressing challenges such as hallucinations (misinformation), admissibility of AI-generated evidence, malpractice risks, cybersecurity concerns, and compliance with evolving regulatory frameworks. Ultimately, the course equips attorneys with essential AI literacy skills, enabling them to balance innovation with professional ethics and competence as AI technologies continue to transform the legal landscape.

Faculty:

• Berry Crawford
• Dr. Russ Biagio Altman

AI Deep Dive for Attorneys: Machine Learning

TX CLE Requirements Credit Type: General

TX CLE Course Details:

This course, AI Deep Dive for Attorneys: Machine Learning, provides a comprehensive introduction to machine learning (ML) and its transformative implications in the legal field. It begins with foundational concepts, exploring the core principles, workflows, and models of ML, while distinguishing it from traditional programming. Tailored specifically for legal professionals, the course emphasizes the growing significance of ML in areas such as legal research, contract review, eDiscovery, and predictive analytics. It delves into key ethical and legal considerations, including data privacy, algorithmic bias, attorney-client privilege, and regulatory compliance with laws like GDPR. Participants are guided through real-world legal applications, challenges in evidentiary standards, liability concerns, and cross-examination of ML-based expert witnesses. The course also examines ML's impact on workplace surveillance, insurance, criminal justice, antitrust, and financial services. Throughout, attorneys are encouraged to develop technical fluency, adopt ethical best practices, and stay abreast of evolving legal frameworks to effectively navigate and leverage ML tools in modern legal practice.

Faculty:

• Berry Crawford

Anxiety and Substance Abuse in the Legal Profession

TX CLE Requirements Credit Type: General

TX CLE Course Details:

The course explores the significant issue of anxiety-driven substance abuse among legal professionals, highlighting factors such as chronic workplace stress, demanding billable-hour systems, cultural stigma surrounding mental health, and competitive legal environments. It examines commonly abused substances, including alcohol, prescription medications, and illegal drugs, as coping mechanisms for unmanaged anxiety. Additionally, the course delves into the severe consequences of substance abuse, including ethical violations, disciplinary actions, compromised client outcomes, and impaired decision-making. It emphasizes the critical role of supportive workplace policies, specialized treatment programs, lawyer assistance programs, mindfulness and resilience strategies, and proactive advocacy and education to address these challenges and promote healthier practices within the legal community​

Faculty:

• Berry Crawford

Attorney Civility and Professionalism

TX CLE Requirements Credit Type: Ethics

TX CLE Course Details:

Why is this important? The adversarial process can be taken to extremes, to where it may become an internal aspect of a firm's culture. This obstructs the kind of cooperation that can ease and expedite workloads. It's also been shown to create a level of stress that is extremely unhealthy; including life-threatening issues. Furthermore, we've all heard the expression ?you catch more flies with honey,? and yet the singular adversarial approach works against this. We need to recognize that this approach is only one tool in the toolbox, and you have access to many more. In addition, adding these tools will positively impact your success, health, and income.

Faculty:

• Russell Jackman, Esq.
• Ian Blei

Cybersecurity for Attorneys

TX CLE Requirements Credit Type: General

TX CLE Course Details:

This comprehensive course, "Cyber Security for Attorneys," addresses the legal profession's increasing dependence on digital infrastructure and the critical need to protect sensitive client data from sophisticated cyber threats. Participants will explore the ethical duty of technological competence and understand why law firms are prime targets for hackers. The curriculum covers common threats such as phishing, ransomware, and wire transfer fraud, while providing practical guidance on defensive measures like multi-factor authentication, email encryption, and secure remote work practices. The course also details essential strategies for developing firm-wide cybersecurity policies, creating incident response plans, managing vendor security, and complying with data breach notification laws.

Faculty:

• Berry Crawford

Diversity, Inclusion and Implicit Bias in Attorney Performance Evaluations

TX CLE Requirements Credit Type: General

TX CLE Course Details:

This course explores the critical issues of diversity, inclusion, and implicit bias in attorney performance evaluations within legal organizations. It addresses how implicit biases, unconscious attitudes or stereotypes, can significantly affect fairness in performance reviews, particularly regarding gender, race, communication styles, leadership perceptions, and intersectional identities. Throughout, it emphasizes the importance of identifying biases through quantitative and qualitative methods, promoting transparency, and implementing structured evaluation frameworks and regular bias training. Additionally, the course highlights the negative impact biases have on career trajectories, promotions, compensation decisions, and perceptions of competence and credibility. Effective strategies to mitigate bias include employing standardized metrics, diverse evaluation panels, anonymous assessments, and technology-driven solutions like artificial intelligence. Ultimately, the course advocates for accountability and proactive measures to foster equitable evaluations and inclusive organizational cultures.

Faculty:

• Berry Crawford

Reducing Substance Abuse with Mindfulness for Attorneys

TX CLE Requirements Credit Type: General

TX CLE Course Details: This course about Reducing Substance Abuse with Mindfulness for Attorneys will explore ten topics that are relevant to attorneys. First, the course will explore mindfulness meditation to reduce stress and substance abuse among U.S. attorneys. Next, the course will investigate incorporating mindfulness techniques in legal practice to combat substance dependency. The course will then explore mindful breathing exercises to alleviate substance cravings for lawyers. After this, the course will investigate ethics and responsibilities: attorneys practicing mindfulness to prevent substance abuse. Next, the material will cover mindfulness-based stress reduction for attorneys battling substance dependence. The course will then turn towards law firm culture: encouraging mindfulness to mitigate substance abuse risks. Next, the course will investigate mindfulness training for lawyers on sustainable recovery from substance abuse. The course will then explore jury trials: using mindfulness to manage anxiety and reduce substance dependency. The course will next investigate integrating mindfulness into continuing legal education for substance abuse prevention. Lastly, the material will cover attorney wellness programs: mindfulness as a tool to combat substance abuse.

Faculty:

• Berry Crawford

Storytelling in the Courtroom

TX CLE Requirements Credit Type: General

TX CLE Course Details:

As a trial lawyer, what do you really need in order to win your case? Attention ? the jury's attention. I don't mean that in the narcissistic "everyone look at me" sense. When I say every trial lawyer wants more attention, what I mean is that before you can build a rapport with the jury and earn their trust, you have to fight a war ? the war for the jury's attention. "Attention" and "connection" are the key elements needed to win the minds and hearts of the jury.

Faculty:

• Michael J. DeBlis III, Esq.

Storytelling in the Courtroom: Volume 1 - Part III

TX CLE Requirements Credit Type: General

TX CLE Course Details:

Stories are told in two basic modes: (1) narrative summary and (2) scenes. Narrative summary is an overview. It?s an expository way of moving the audience along in the story. It?s very much ?telling.? Most Nineteenth Century novels begin with narrative summary. For example, ?It was the best of times, it was the worst of times.? It?s more conceptual than cinematic.

Faculty:

• Michael J. DeBlis III, Esq.