$79 NH CLE - 12 Credits

ABA Ethics Rule 1.1 and Electronic Data Discovery

NH CLE Requirements Credit Type: Ethics

NH 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

NH CLE Requirements Credit Type: Ethics

NH 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: Computer Vision

NH CLE Requirements Credit Type: General

NH 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

NH CLE Requirements Credit Type: General

NH 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

NH CLE Requirements Credit Type: General

NH 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

An Introduction to E-discovery and AI

NH CLE Requirements Credit Type: General

NH CLE Course Details:

This course gives attorneys a practical, court-aware foundation in the electronic discovery process and how modern artificial intelligence tools, including Technology-Assisted Review, change preservation, review, and production decisions. It defines electronic discovery and the lifecycle of identifying, preserving, collecting, processing, reviewing, and producing electronically stored information, then walks through the Electronic Discovery Reference Model as a framework for managing that work efficiently. The course also explains where machine learning and natural language processing fit into discovery workflows, including how Technology-Assisted Review learns iteratively from human-coded examples and what that means for defensibility and transparency. Finally, it covers key Federal Rules of Civil Procedure concepts that drive day-to-day discovery practice, along with the duty to preserve, litigation holds, and proportionality so attorneys can better manage risk, cost, and vendor oversight in both litigation and firm operation

Faculty:

• Berry Crawford

Critical Soft Skills for Attorneys

NH CLE Requirements Credit Type: General

NH CLE Course Details:

This comprehensive course is designed to equip legal professionals with the essential interpersonal and self-management abilities necessary to navigate the high-pressure environment of law. The curriculum covers a wide spectrum of communication skills, ranging from maintaining composure and clarity under pressure to active listening and accurate issue-framing. It emphasizes emotional intelligence through modules on regulating emotions during conflict, building rapport through empathy, and delivering bad news with care. Beyond client interactions, the course addresses professional advancement and efficiency by exploring time and project management, collaboration across roles, and the nuances of managing up with senior stakeholders. Ultimately, the training aims to foster a sustainable and successful practice by teaching attorneys how to handle ambiguity, engage in business development, maintain integrity, and mentor junior colleagues.

Faculty:

• Brian Emerson

Cyber Security Concerns and Solutions for the Law Office

NH CLE Requirements Credit Type: General

NH CLE Course Details:

The increases computer usage since the onset of the Pandemic plus new challenges created by new technologies has created significant threats towards attorneys and their clients. This program helps attorneys meet their ethical ABA model rule 1.1 requirements while getting vital information to help them safeguard their practice and their clients.

Faculty:

• Russell Jackman, Esq.

Electronic Discovery and the Cloud in the Practice of Law

NH CLE Requirements Credit Type: General

NH CLE Course Details:

This course about electronic discovery and the cloud in practice of law will explore ten topics that are relevant to attorneys. First, the course will explore legal implications of cloud storage in electronic discovery. Next, the course will investigate data privacy challenges in cloud-based electronic discovery. The course will then explore preservation obligations in cloud-stored electronic evidence. After this, the course will investigate accessing and securing cloud data in legal investigations. Next, the material will cover compliance with esi protocols in cloud environments. The course will then turns towards impact of gdpr on U.S. cloud discovery practices. Next, the course will investigate authenticity verification of cloud-stored legal documents. The course will then explore cloud service provider agreements in ESI management. The course will next investigate legal ethics in using cloud platforms for ediscovery. Lastly, the material will cover cost-effective cloud solutions for small law firms.

Faculty:

• Berry Crawford

Fundamentals of Attorney Well-Being

NH CLE Requirements Credit Type: General

NH CLE Course Details:

This CLE course equips lawyers with a practical, evidence-informed toolkit for sustaining attorney well-being while maintaining high performance in demanding legal environments. The course defines well-being as a multidimensional skill set, then explains how stress physiology can erode concentration, judgment, and health, and how to distinguish burnout from depression and anxiety so participants can respond appropriately. From there, it delivers concrete, usable strategies on sleep fundamentals, sustainable boundaries and availability norms, time and attention management systems that reduce chronic overload, emotional regulation in conflict-heavy practice, managing perfectionism and fear of mistakes, and interrupting rumination and worry. The program also covers mindfulness without mystique, micro-breaks and recovery routines, flexible exercise and nutrition habits for long days and travel, substance use risk warning signs, building social support outside the firm, healthy communication and assertiveness, handling difficult clients without emotional spillover, secondary trauma and compassion fatigue, creating psychological safety on teams, digital hygiene for email and notifications, coping with trial and deal surges, financial stress as a well-being factor, effective use of therapy, coaching, and employee assistance programs, preventing isolation in remote and hybrid practice, ergonomics and injury prevention, values-based career alignment, recognizing when professional help is needed, crisis planning for acute stress, and building a long-term well-being plan with accountability.

Faculty:

• Berry Crawford

Recognition and Elimination of Age Bias

NH CLE Requirements Credit Type: General

NH CLE Course Details:

This course provides a comprehensive exploration of recognizing and eliminating age bias within the legal profession. Participants will learn to identify subtle implicit bias patterns, often encoded in language and cultural narratives, and understand how common stereotypes can distort professional judgment regarding leadership and innovation. The curriculum details critical legal duties under the Federal Age Discrimination in Employment Act (ADEA) as well as significant state-level variations in places like California and New York. Attendees will gain practical, evidence-based strategies for every stage of the employment lifecycle, including crafting age-neutral job descriptions, diversifying recruiting channels, anonymizing resume screening, and structuring interviews with validated rubrics to ensure objective, merit-based evaluations. Furthermore, the course offers actionable guidance on managing multi-generational teams, conducting neutral workplace investigations, and utilizing workforce data to detect and interrupt biased decision paths.

Faculty:

• Berry Crawford

The ABCs of the Remote Law Practice

NH CLE Requirements Credit Type: General

NH CLE Course Details:

Join lawyers Jacob Stein, Diane Camacho, Larry Cohn, and Michael Bono as they delve into the world of remote law practice in this enlightening discussion. Discover the advantages and practical tips for running a successful remote law firm, including:

• Benefits such as reduced overhead costs and reaching a wider client base.
• Overcoming common obstacles like breaking old habits and dispelling misconceptions about professionalism.
• Effective communication strategies for both individual and group meetings.
• Innovative business development tactics like hosting webinars and networking through joint ventures.
• Financial management essentials, including trust account separation and utilizing specialized software for bookkeeping and reporting.
• Embracing technology with cloud storage, practice management software, and document automation tools.
• Leveraging AI legal research and drafting tools like Co-Counsel, Spellbook, and GAVL to boost efficiency. Gain valuable insights from the speakers' own experiences as they share tips for embracing technology and ensuring the security and effectiveness of remote law practices.

Faculty:

• Jacob Stein, Esq
• Diane Camacho
• Michael Bono
• Lawrence Kohn