Earn CLE credit with our live interactive webcasts taught by our expert presenters. Participate from anywhere you have access to the internet.
Webcast Features:
- Easy to Use - No special downloads or special software required. Simply log into our site to view the presentation.
- Interactive - We offer the ability to ask questions of the presenters in real time.
- Instant Certificate - As soon as the webcast event ends you are immediately able to print a certificate as proof of attendance.
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Available Webcasts
AI Deep Dive for Attorneys: AI Taxonomy and Terminology - Live Webcast
$24.99
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.
Webcast Dates and Times:
- 8/6/2025 - 12:00 PM EST
- 9/8/2025 - 12:00 PM EST
- 9/22/2025 - 12:00 PM EST
- 10/13/2025 - 12:00 PM EST
- 10/27/2025 - 12:00 PM EST
- 10/31/2025 - 12:00 PM EST
Course Agenda
- A Definition of Artificial Intelligence
- A Definition of Machine Learning
- The Difference Between Machine Learning and Artificial Intelligence
- Generative Text AI
- Generative Image AI
- Generative Video AI
- Code Generation AI
- Supervised Learning AI
- Unsupervised Learning AI
- Semi-supervised Learning AI
- Reinforcement Learning AI
- Self-supervised Learning AI
- Predictive AI
- Descriptive AI
- Prescriptive AI
- Anomaly Detection AI
- Translation AI
- Image Classification Computer Vision AI
- Object Detection Computer Vision AI
- Facial Recognition Computer Vision AI
- Action Recognition Computer Vision AI
- Optical Character Recognition Computer Vision AI
- Medical Image Analysis Computer Vision AI
- Self-Driving Car Computer Vision AI
- Drone Computer Vision AI
- Human-like Robotic AI
- Warehouse and Logistics AI Robots
- AI-powered Virtual Assistants
- Customer Support Chatbots
- AI Recruitment Agents
- Trading Agents
Course Credit per State
CA - General: 1.0 Credits
VA - General: 1.0 Credits
Webcast Presenters
Berry Crawford
Berry Crawford is a Certified Mindfulness Instructor and has worked in the legal services industry for over 15 years with a focus on continuing legal education, legal ethics and professional responsibility. He has offered mindfulness and mental health seminars and classes in a variety of professional and non-profit contexts including legal seminars and approved CLE courses for many states across the country.
AI Deep Dive for Attorneys: Computer Vision - Live Webcast
$24.99
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.
Webcast Dates and Times:
- 9/10/2025 - 12:00 PM EST
- 9/24/2025 - 12:00 PM EST
- 10/8/2025 - 12:00 PM EST
- 10/15/2025 - 12:00 PM EST
- 10/22/2025 - 12:00 PM EST
- 10/29/2025 - 12:00 PM EST
- 10/31/2025 - 2:00 PM EST
Course Agenda
-
li>Introduction to Computer Vision: A Brief Overview for Attorneys
- Understanding Image and Video Analysis in Legal Discovery
- Ethical Considerations in Using Computer Vision Evidence
- Authentication of Visual Evidence Using AI Techniques
- The Role of Computer Vision in Forensic Investigations
- How AI-Assisted Facial Recognition Influences Privacy Law
- Computer Vision in Surveillance and Legal Implications
- Understanding Deepfake Detection in Litigation
- Admissibility of Computer Vision-Generated Evidence in Court
- Intellectual Property Issues in AI-Based Computer Vision Software
- Liability Concerns in Autonomous Vehicles Using Computer Vision
- Legal Challenges of Algorithmic Bias in Computer Vision Systems
- Explaining AI Decisions: Transparency and Interpretability in Computer Vision
- Computer Vision for Document and Signature Verification in Legal Practice
- Privacy Implications of Using AI Video Analytics in the Workplace
- Computer Vision and Digital Evidence Chain-of-Custody Issues
- Case Law Review: Significant Rulings on Computer Vision Evidence
- Regulation of Computer Vision Technology under Current Privacy Laws
- Understanding the Limitations and Risks of Computer Vision in Discovery
- AI Computer Vision and GDPR Compliance for Multinational Cases
- Practical Guide: Evaluating the Reliability of AI Computer Vision Tools
- Computer Vision and Its Role in Environmental and Property Litigation
- Cross-Examination of Expert Witnesses on Computer Vision Technology
- The Future of Electronic Discovery (eDiscovery) with Computer Vision
- Addressing Jury Perceptions of Computer Vision Evidence
- Balancing Evidentiary Value and Privacy Rights in AI-driven Investigations
- Understanding Computer Vision Data Retention and Spoliation Issues
- Legal Frameworks for Drone-Based Computer Vision Applications
- Computer Vision Technology in Insurance Claims and Fraud Detection
- Navigating Attorney-Client Privilege Issues with AI-Assisted Computer Vision
- International Perspectives: Comparing Global Approaches to Regulating Computer Vision Technology Role of Lawyer
- Assistance Programs (LAPs) in Intervention and Recovery
- Influence of Competitive and Adversarial Legal Environments on Anxiety
- Mindfulness, Resilience Training, and Anxiety Reduction Strategies
- Economic Costs and Consequences of Substance Abuse in Legal Firms
- Connection between Attorney Anxiety, Substance Abuse, and Suicide Risk
- Improving Awareness, Education, and Advocacy for Mental Health in the Legal Community
Course Credit per State
VA - General: 1.0 Credits
Webcast Presenters
Berry Crawford
Berry Crawford is a Certified Mindfulness Instructor and has worked in the legal services industry for over 15 years with a focus on continuing legal education, legal ethics and professional responsibility. He has offered mindfulness and mental health seminars and classes in a variety of professional and non-profit contexts including legal seminars and approved CLE courses for many states across the country.
AI Deep Dive for Attorneys: Large Language Models - Live Webcast
$24.99
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.
Webcast Dates and Times:
- 6/26/2025 - 12:00 PM EST
- 8/28/2025 - 12:00 PM EST
- 9/11/2025 - 12:00 PM EST
- 9/25/2025 - 12:00 PM EST
- 10/16/2025 - 12:00 PM EST
- 10/23/2025 - 12:00 PM EST
- 10/30/2025 - 12:00 PM EST
- 10/31/2025 - 3:00 PM EST
Course Agenda
- Overview of Large Language Models
- How Large Language Models are Trained
- Large Language Models and the Practice of Law
- Attorney-Client Privilege and Confidentiality with Large Language Models
- Understanding and Detecting Large Language Model Hallucinations
- Admissibility of Evidence Generated by Large Language Models
- Legal Considerations in Training and Licensing LLMs
- Bias and Fairness Challenges in Large Language Models: Legal Implications
- Intellectual Property Rights in AI-Generated Text from Large Language Models
- LLM-Assisted Electronic Discovery Benefits and Risks
- Data Privacy and GDPR Compliance When Using Large Language Models
- Attorney Duty of Competence and AI Literacy: Understanding Large Language Models
- Liability for Errors or Misrepresentations Made by Large Language Models
- Transparency and Explainability in Large Language Model Decision-Making
- Cross-Examining Expert Testimony Relying on Large Language Models
- Regulatory Frameworks Affecting Attorney Use of Large Language Models
- Ethical Guidelines for Drafting Legal Documents Using Large Language Models
- Managing Potential Malpractice Risks from Large Language Model Dependence
- Legal Industry Standards for Integrating Large Language Models in Practice
- Large Language Models and the Automation of Legal Research and Writing
- Client Consent and Disclosure Requirements for LLM Use in Legal Services
- Challenges in Authorship Attribution and Plagiarism Detection with LLMs
- Antitrust Concerns Related to Market Dominance by Large Language Model Providers
- Risks of Unauthorized Practice of Law by AI Large Language Models
- Large Language Models in Judicial Decision-Making and Case Predictions
- Ethical Implications of Using LLMs in Jury Selection and Trial Strategy
- Large Language Model-Generated Misinformation and Defamation Liability
- Comparative International Legal Approaches to Large Language Model Regulation
- Practical Strategies for Attorneys: Best Practices for Leveraging Large Language Models
- Assessing and Mitigating Cybersecurity Risks Associated with Large Language Models
- Implications of Large Language Models on Legal Education and Attorney Training
- Future Legal Trends in Regulating the Development of Large Language Models
Course Credit per State
VA - General: 1.0 Credits
Webcast Presenters
Berry Crawford
Berry Crawford is a Certified Mindfulness Instructor and has worked in the legal services industry for over 15 years with a focus on continuing legal education, legal ethics and professional responsibility. He has offered mindfulness and mental health seminars and classes in a variety of professional and non-profit contexts including legal seminars and approved CLE courses for many states across the country.
AI Deep Dive for Attorneys: Machine Learning - Live Webcast
$24.99
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.
Webcast Dates and Times:
- 9/9/2025 - 12:00 PM EST
- 10/7/2025 - 12:00 PM EST
- 10/14/2025 - 12:00 PM EST
- 10/21/2025 - 12:00 PM EST
- 10/31/2025 - 1:00 PM EST
Course Agenda
- Introduction to Machine Learning: Key Concepts for Attorneys
- Ethical Responsibilities for Attorneys Using Machine Learning
- Understanding Predictive Analytics in Legal Practice
- Machine Learning in Electronic Discovery (eDiscovery): Opportunities and Risks
- Privacy and Data Protection Issues Related to Machine Learning Applications
- Evaluating the Reliability of Machine Learning-Generated Evidence
- Liability Issues Arising from Machine Learning Errors
- Legal Challenges in Algorithmic Bias and Discrimination
- Intellectual Property Rights in Machine Learning Models and Outputs
- Case Law Review: Significant Decisions Involving Machine Learning
- Machine Learning and Compliance with GDPR and Data Protection Laws
- Attorney-Client Privilege and Machine Learning-Processed Communications
- Explainability and Transparency of Machine Learning Systems in Litigation
- Machine Learning Applications in Contract Review and Automation
- Liability and Ethical Issues in AI-Driven Decision-Making Systems
- Regulatory Landscape for Machine Learning Technology
- Practical Guide: Due Diligence for Attorneys Reviewing Machine Learning Tools
- Cybersecurity Risks Associated with Machine Learning Models
- Machine Learning in Criminal Sentencing and Bail Decisions
- Antitrust Implications of Machine Learning Algorithms in Market Competition
- Machine Learning in Insurance Claims Management and Fraud Detection
- Risks and Liability Issues for Autonomous Vehicles Using Machine Learning
- Managing Machine Learning Spoliation and Data Preservation Issues
- Cross-Examining Machine Learning-Based Expert Witnesses
- Navigating Attorney Competence Requirements with Machine Learning Technologies
- Legal and Ethical Implications of Machine Learning in Workplace Surveillance
- Machine Learning and Automated Decision-Making under Consumer Protection Law
- Juror Perceptions of Machine Learning Evidence in Trials
- Contractual Considerations When Licensing Machine Learning Solutions
- International Approaches to Regulating Machine Learning and AI Systems
- Machine Learning Tools for Compliance Monitoring and Risk Management
- Legal Strategies for Challenging Machine Learning Algorithms in Court
- Future of Legal Practice: Preparing Attorneys for Increased Machine Learning Integration
Course Credit per State
VA - General: 1.0 Credits
Webcast Presenters
Berry Crawford
Berry Crawford is a Certified Mindfulness Instructor and has worked in the legal services industry for over 15 years with a focus on continuing legal education, legal ethics and professional responsibility. He has offered mindfulness and mental health seminars and classes in a variety of professional and non-profit contexts including legal seminars and approved CLE courses for many states across the country.
Anxiety and Substance Abuse in the Legal Profession - Live Webcast
$24.99
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
Webcast Dates and Times:
- 7/3/2025 - 12:30 PM EST
- 10/6/2025 - 12:00 PM EST
- 10/25/2025 - 2:00 PM EST
- 10/28/2025 - 12:00 PM EST
Course Agenda
- Prevalence of Anxiety Disorders among Attorneys
- Types of Substances Commonly Abused by Lawyers
- Legal and Disciplinary Consequences for Substance-Abusing Lawyers
- Link Between High-Stress Legal Environments and Substance Abuse
- Impact of Billable Hours and Productivity Pressure on Anxiety
- Mental Health Stigma in the Legal Field
- Role of Burnout and Compassion Fatigue in Substance Abuse
- How Anxiety Influences Lawyers' Decision-Making and Performance
- Law School Environment and Early Onset of Anxiety Disorders
- Anxiety Disorders and Substance Abuse among Judges
- Gender Differences in Anxiety-driven Substance Abuse among Attorneys
- The Role of Peer Pressure and Social Norms within Legal Circles
- Treatment and Recovery Options for Lawyers with Substance Abuse Issues
- Workplace Policies and Their Impact on Mental Health and Addiction
- Ethical Implications of Anxiety-Related Substance Abuse in the Legal Profession
- Bar Associations' Role in Addressing Anxiety and Substance Abuse
- Impact of Lawyer Anxiety and Substance Abuse on Client Outcomes
- Self-medication Practices among Attorneys Experiencing Anxiety
- Role of Isolation and Lack of Support Systems in Anxiety-driven Substance Abuse
- Impact of Anxiety and Substance Abuse on Career Progression in Law
- Coping Mechanisms and Preventative Strategies for Attorneys
- Relationship between Anxiety Disorders, Substance Abuse, and Professional Malpractice
- The Intersection of Anxiety Disorders, Substance Abuse, and Depression among Lawyers
- The Influence of Firm Culture on Attorney Mental Health
- High-profile Case Anxiety and its Relation to Substance Abuse
- Role of Lawyer Assistance Programs (LAPs) in Intervention and Recovery
- Influence of Competitive and Adversarial Legal Environments on Anxiety
- Mindfulness, Resilience Training, and Anxiety Reduction Strategies
- Economic Costs and Consequences of Substance Abuse in Legal Firms
- Connection between Attorney Anxiety, Substance Abuse, and Suicide Risk
- Improving Awareness, Education, and Advocacy for Mental Health in the Legal Community
Course Credit per State
VA - General: 1.0 Credits
Webcast Presenters
Berry Crawford
Berry Crawford is a Certified Mindfulness Instructor and has worked in the legal services industry for over 15 years with a focus on continuing legal education, legal ethics and professional responsibility. He has offered mindfulness and mental health seminars and classes in a variety of professional and non-profit contexts including legal seminars and approved CLE courses for many states across the country.
Artificial Intelligence and Electronic Discovery - Live Webcast
$24.99
This course about Electronic Discovery and Artificial Intelligence in Practice of Law will explore ten topics that are relevant to attorneys. First, the course will explore ai-powered document review for legal discovery efficiency. Next, the course will investigate predictive coding in e-discovery: accuracy and ethical implications. The course will then explore using machine learning to identify privileged information. After this, the course will investigate automating legal hold notices with artificial intelligence. Next, the material will cover evaluating ai algorithms for relevance in e-discovery processes. The course will then turn towards impact of ai on e-discovery costs and time management. Next, the course will investigate challenges of integrating ai in small law firms' e-discovery. The course will then explore regulatory compliance for ai use in legal e-discovery. Lastly, the material will cover data privacy concerns in ai-driven e-discovery procedures.
Webcast Dates and Times:
- 06/19/2025 - 12:00 PM EST
Course Agenda
- AI-Powered Document Review for Legal Discovery Efficiency
- Predictive Coding in E-Discovery: Accuracy and Ethical Implications
- Using Machine Learning to Identify Privileged Information
- Automating Legal Hold Notices with Artificial Intelligence
- Evaluating AI Algorithms for Relevance in E-Discovery Processes
- Impact of AI on E-Discovery Costs and Time Management
- Challenges of Integrating AI in Small Law Firms? E-Discovery
- Regulatory Compliance for AI Use in Legal E-Discovery
- Data Privacy Concerns in AI-Driven E-Discovery Procedures
Course Credit per State
CA1.0 Credits
NJ - General: 1.0 Credits
NY - General: 1.0 Credits
PA - General: 1.0 Credits
VA - General: 1.0 Credits
Webcast Presenters
Berry Crawford
Berry Crawford is a Certified Mindfulness Instructor and has worked in the legal services industry for over 15 years with a focus on continuing legal education, legal ethics and professional responsibility. He has offered mindfulness and mental health seminars and classes in a variety of professional and non-profit contexts including legal seminars and approved CLE courses for many states across the country.
Diversity Inclusion and Implicit Bias in Attorney Performance Evaluations - Live Webcast
$24.99
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.
Webcast Dates and Times:
- 6/16/2025 - 12:00 PM EST
- 7/10/2025 - 12:00 PM EST
- 8/14/2025 - 12:00 PM EST
- 9/23/2025 - 12:00 PM EST
- 10/20/2025 - 12:00 PM EST
- 10/25/2025 - 1:00 PM EST
Course Agenda
- Identifying Implicit Bias in Attorney Performance Reviews
- Gender Bias and Performance Assessment in Law Firms
- Racial Bias in Associate-to-Partner Promotion Decisions
- Impact of Implicit Bias on Perceived Competence and Credibility
- Strategies to Mitigate Implicit Bias during Performance Evaluations
- Bias in Assessing Communication Styles in Lawyers
- Subjectivity versus Objectivity in Legal Performance Reviews
- Intersectional Bias: Evaluating Lawyers with Multiple Marginalized Identities
- Implicit Bias and Performance Expectations for Attorneys of Color
- Bias and Its Effect on Career Trajectories of Minority Attorneys
- Cultural Bias in Defining Legal Leadership Qualities
- Effects of Implicit Bias Training on Legal Supervisors and Evaluators
- Implicit Bias in Client Feedback and Its Influence on Lawyer Evaluations
- The Role of Implicit Bias in Assigning High-Profile Cases
- Impact of Bias in Compensation Decisions Based on Evaluations
- Implicit Bias and Perceptions of Professionalism in Legal Settings
- Performance Evaluation Metrics and Their Susceptibility to Bias
- Implicit Bias in Peer Reviews and 360-degree Evaluations
- Bias and the Assessment of Attorney Potential versus Proven Results
- Addressing Implicit Bias in Mentoring and Development Feedback
- Evaluating the Effectiveness of Anonymous Evaluations to Reduce Bias
- Implicit Bias and Stereotypes Affecting Lawyers with Disabilities
- Influence of Implicit Bias on Assessment of Work-Life Balance Choices
- Challenges in Evaluating Cross-Cultural Competence in Attorneys
- Implicit Bias and the Over-scrutiny of Marginalized Attorneys? Mistakes
- Best Practices for Fair and Inclusive Performance Reviews in Legal Organizations
- Implicit Bias in Evaluation of Leadership and Managerial Skills
- Comparing Implicit Bias Impact Across Small, Mid-sized, and Large Law Firms
- The Role of Technology and AI in Reducing Bias in Performance Evaluations
- The Long-term Consequences of Biased Performance Evaluations in Legal Careers
- Creating Accountability Systems for Bias Reduction in Legal Performance Assessments
Course Credit per State
VA - General: 1.0 Credits
Webcast Presenters
Berry Crawford
Berry Crawford is a Certified Mindfulness Instructor and has worked in the legal services industry for over 15 years with a focus on continuing legal education, legal ethics and professional responsibility. He has offered mindfulness and mental health seminars and classes in a variety of professional and non-profit contexts including legal seminars and approved CLE courses for many states across the country.