Law, technology and corporate issues course

Cybersecurity Issues for Law Firms and Services to Track

This topic covers both the ethical dimension of cybersecurity concerns as they become

increasingly salient in the contemporary age (e.g. how data privacy is related to lawyer's

ethical duties) but also concrete, practical steps lawyers can take in order to implement

best cybersecurity practices

Implicit Bias and Micro-Aggressions: Their Effect on Law Firm Culture and Success

This course delves into the critical and often overlooked aspects of implicit bias and

micro-aggressions within the context of law firm culture. Attorneys play a pivotal role in

shaping legal landscapes, and it is imperative to recognize and address the subtle yet

impactful forces of implicit bias and micro-aggressions that can permeate law firm

environments.

Competence/Wellness: No One Makes It Out Unscathed: The Effects of Trauma,

Stress, and Burnout on Our Lives

This comprehensive course delves into the profound impacts of trauma, stress, and

burnout on our personal and professional lives. By examining these facets, participants

will gain a deeper understanding of the human experience and equip themselves with

tools to foster competence and wellness.

Professionalism in Challenging Practice Areas

In todays dynamic and complex professional landscape, certain practice areas present unique

challenges that demand a heightened level of professionalism and ethical competence. This

comprehensive course, "Navigating Professionalism in Challenging Practice Areas," is designed to equip

professionals across various fields with the skills, knowledge, and mindset required to thrive in

demanding and ethically intricate environments

ChatGPT and Generative AI in Legal Writing

Lets Get the Precautions out of the Way: Bias, Hallucinations, IP Concerns, Assessing Risk

Getting Started: Creating an Account, Obtaining Access, and Ensuring Confidentiality

Prompts: Practical Tips

-Writing Clear and Specific Instructions

-Parameters, Hints, and Context

-Useful Terms and Shortcuts

Example 1: Brainstorming, Seed Text, a Cure for Writer's Block

Example 2: Generating a Summary

Formatting, Editing Tips

-Lists

-Specific Item Extraction

-Table Generation

-Rewording/Breaking Paragraphs

Fact-Checking, Validating Results

Mitigating Professional Liability Risks: Enhancing Practice Standards

I. Introduction to Professional Liability Risk Management

A. Understanding the importance of risk management for attorneys

B. Common sources of professional liability claims and their impact

C. Ethical considerations in managing professional liability risks

II. Establishing and Maintaining Effective Client Relationships

A. Best practices for client intake and engagement letters

B. Communication and documentation strategies

C. Client education and managing expectations

Data Security Tips for Law Firms

Privacy Law Landscape

Key U.S. Laws

Comprehensive State Privacy Laws

State Law Cyber Requirements

Federal Comprehensive Privacy Law Status

Key Global Laws Primer

Privacy Starts Cybersecurity

Cyber Threat Landscape

Common Vulnerabilities

Plan to Prevent

IT Security Framework

Policies to Implement

AI in the Hot Seat

1. **Bias and Discrimination**:

- AI systems can inherit biases from their training data, potentially leading to discriminatory outcomes.

Plaintiffs may seek remedies for individuals affected by biased AI, while government enforcers may

investigate cases of systemic bias in AI applications, especially in areas like hiring, lending, and criminal

justice

2. **Privacy and Data Protection**:

- AI often relies on vast amounts of personal data. Legal challenges can arise from data breaches,

unauthorized data usage, or the improper handling of personal information. Plaintiffs may file lawsuits

for data breaches, while regulators enforce data protection laws.

3. **Intellectual Property**:

- AI-generated content can blur the lines of intellectual property ownership. Disputes may arise over

copyright, patent, or trademark issues related to AI-generated works. Plaintiffs and government

enforcers may be involved in cases determining who owns AI-generated creations.

4. **Algorithmic Transparency and Accountability**:

- AI decision-making processes are often considered black boxes. Concerns about transparency and

accountability are growing. Plaintiffs might demand explanations for decisions that affect them, and

government enforcers may establish regulations requiring transparency in certain AI applications