Virginia CLE Course Catalog

ABA Ethics Rule 1.1 and Electronic Data Discovery

Price: $19.99

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.

Credits:

Course Agenda:

• ABA Rule 1.1 Overview
• Defining Technological Competence Under ABA Rule 1.1
• Ethical Considerations in E-Discovery for Legal Professionals
• Preservation Obligations and Best Practices in E-Discovery
• Metadata: Importance, Risks, and Ethical Handling
• Privacy Rights and Data Protection Regulations in E-Discovery
• Cross-Border E-Discovery Challenges and Data Transfer Restrictions
• Emerging E-Discovery Software Tools and Platforms
• Cloud Storage Implications for Preserving and Collecting ESI
• Social Media Data Collection and Litigation Strategy
• BYOD (Bring Your Own Device) Policies and Their Impact on E-Discovery
• Cost-Shifting and Proportionality Principles in E-Discovery
• Spoliation, Sanctions, and the Duty to Preserve Electronic Evidence
• Artificial Intelligence and Predictive Coding (TAR) in Document Review
• Early Case Assessment (ECA) Techniques and Technology
• Defensible Deletion and Information Governance
• Chain of Custody Protocols for Digital Evidence
• Maintaining Client Confidentiality in a Technologically Advanced Practice
• Cybersecurity Best Practices for Law Firms Handling ESI
• Data Collection Techniques: Forensic vs. Non-Forensic Approaches
• E-Discovery in Criminal vs. Civil Litigation
• Global Regulatory Frameworks Affecting E-Discovery
• Search Methodologies: Keyword Search vs. Conceptual Search
• Effective Review Management and Workflow Solutions
• Collaboration Tools, Virtual Meetings, and Remote Data Collection
• Metadata Redaction and Production Protocols
• Ethical Responsibilities When Outsourcing E-Discovery Tasks
• Proactive Legal Project Management for E-Discovery Readiness
• Quality Control Measures in Technology-Assisted Review
• Attorney Continuing Education (CLE) Requirements for Tech Competency
• Future Trends in E-Discovery and Technological Evolution in Legal Practice

Course Presenter(s):

• Berry Crawford

AI Deep Dive for Attorneys: AI Taxonomy and Terminology

Price: $19.99

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.

Credits:

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 Presenter(s):

• Berry Crawford

AI Deep Dive for Attorneys: Computer Vision

Price: $19.99

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.

Credits:

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 Presenter(s):

• Berry Crawford

AI Deep Dive for Attorneys: Large Language Models

Price: $19.99

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.

Credits:

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 Presenter(s):

• Berry Crawford

AI Deep Dive for Attorneys: Machine Learning

Price: $19.99

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.

Credits:

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 Presenter(s):

• Berry Crawford

Artificial Intelligence and Electronic Discovery - Live Webcast

Price: $19.99

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.

Credits:

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 Presenter(s):

• Berry Crawford

Client Confidentiality and Ethical Electronic Data Discovery

Price: $19.99

This course, "Client Confidentiality and Ethical Electronic Data Discovery," provides a comprehensive exploration of ABA Model Rule 1.6 and its implications for legal professionals handling electronically stored information (ESI). It emphasizes the duty of attorneys to protect client confidences, highlighting key ethical challenges posed by emerging technologies, data discovery, and e-discovery processes. Participants are introduced to strategies for safeguarding sensitive information, such as metadata management, secure cloud storage, encryption, and the use of ethical screening software. The course also addresses practical measures for managing confidentiality in situations involving litigation holds, third-party vendors, social media data, and privilege logs, offering actionable solutions for reducing risks. By underscoring the importance of technological competence, the curriculum equips attorneys to navigate complex legal landscapes while upholding their ethical obligations. From proactive planning to disaster recovery, this course fosters a thorough understanding of how to balance transparency with confidentiality and prevent inadvertent disclosures. Through this knowledge, attorneys can enhance their professional integrity, client trust, and compliance with ABA ethical standards in an increasingly digital legal environment.

Credits:

Course Agenda:

• Rule 1.6 Overview
• Balancing confidentiality and transparency
• Metadata disclosure
• Cloud storage practices
• Encryption standards
• Data breach notification
• Device security protocols
• Third-party vendors
• Cross-border data transfers
• Email attachments and confidentiality
• Secure file-sharing platforms
• Social media data in discovery
• Preventing inadvertent waiver of privilege
• Litigation holds and client communications
• Spoliation risks
• Remote work challenges
• Data minimization strategies
• Ethical screening software
• Collaboration tools in discovery
• Outsourcing document review
• Retrospective metadata cleanup
• Client education on data security
• Emerging technologies (AI, machine learning)
• BYOD (bring your own device) policies
• Dark web monitoring
• Phishing and social engineering
• Privilege logs in e-discovery
• Disaster recovery plans
• Whistleblower data and confidentiality
• Using analytics tools

Course Presenter(s):

• Berry Crawford

Reducing Substance Abuse with Mindfulness for Attorneys

Price: $19.99

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.

Credits:

Course Agenda:

• The Scope of the Problem of Substance Abuse in the Legal Profession
• Mindfulness Meditation to Reduce Stress and Substance Abuse Among U.S. Attorneys
• Incorporating Mindfulness Techniques in Legal Practice to Combat Substance Dependency
• Mindful Breathing Exercises to Alleviate Substance Cravings for Lawyers
• Ethics and Responsibilities: Attorneys Practicing Mindfulness to Prevent Substance Abuse
• Mindfulness-Based Stress Reduction for Attorneys Battling Substance Dependence
• Law Firm Culture: Encouraging Mindfulness to Mitigate Substance Abuse Risks
• Mindfulness Training for Lawyers on Sustainable Recovery from Substance Abuse
• Jury Trials: Using Mindfulness to Manage Anxiety and Reduce Substance Dependency
• Integrating Mindfulness into Continuing Legal Education for Substance Abuse Prevention
• Attorney Wellness Programs: Mindfulness as a Tool to Combat Substance Abuse

Course Presenter(s):

• Berry Crawford

Storytelling in the Courtroom

Price: $29.99

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.

Credits:

Course Agenda:

• My Story
• Left Brain/Right Brain? What's the difference?
• The Case for Storytelling
• Tips for Building Credibility with the Jury
• Lesson Learned from "8 Mile"
• Purpose of Opening
• Storytelling as the Device for Opening Statement

Course Presenter(s):

• Michael J. DeBlis III, Esq.

Storytelling in the Courtroom: Volume 1 - Part II

Price: $29.99

Like it or not, we are in the midst of an attention war. We need to confront the reality that the jury's attention can no longer be taken for granted. We have to change our way of thinking to focus on gaining attention before we can leave lasting impressions. The jury's attention must be the currency that every trial lawyer trades in. In this presentation, I will talk about how storytelling can help lawyers to cut through all of the noise and distractions of everyday life in order to connect to the jury on a human level.

Credits:

Course Agenda:

• Reducing Trial to Its Bare Bones
• Shifting Sands - How I View "My" Jury
• Opening Statement as Story
• Theory & Theme
• Organization for Opening
• Cast of Characters
• Perspective
• Two Basic Modes

Course Presenter(s):

• Michael J. DeBlis III, Esq.

Storytelling in the Courtroom: Volume 1 - Part III

Price: $29.99

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.

Credits:

Course Agenda:

Course Presenter(s):

• Michael J. DeBlis III, Esq.

Storytelling in the Courtroom: Volume 1 - Part IV

Price: $29.99

Kristin Linklater, one of the great voice instructors, puts it like this:?There?s a desire to speak?an impulse. It runs down the spinal column and through the central nervous system galvanizing simultaneously the breathing mechanism and the laryngeal mechanism into an activity that creates a vibration which is immediately amplified by surrounding resonating surfaces into voice. At the same time the impulse activates movements of lips and tongue that deliver words."

Credits:

Course Agenda:

Kristin Linklater
Speaking on the Breath
Effective Voice Principles for the Courtroom
The Sounding Body: Voice as Movement
The Power of Silence
Meisner on Silence
Tips: Emphasis & Impact Devices
We Have Five Senses, Not One - Don?t forget to actively engage the five senses!
How I Brainstorm a Case
Preparation Essentials for Trying a Criminal Case
Storytime
Disengaging

Course Presenter(s):

• Michael J. DeBlis III, Esq.