AI Concepts and Terms
Introduces key AI terms and concepts, such as deep learning, machine learning, generative AI, LLMs, and supervised and unsupervised learning.
Short, practical videos with quizzes and summaries.
See all 366Introduces key AI terms and concepts, such as deep learning, machine learning, generative AI, LLMs, and supervised and unsupervised learning.
Explains what counterparts provisions are, why they’re used, and the main concepts these clauses typically include.
Lawyers often have to deal with large sets of data when working on a litigation or transaction. This course covers the Excel features that make it easier to work with large data sets, including filtering and sorting data, freezing panes and splitting the window.
The difference between incorporation and organization, important questions to ask before organizing, the process of incorporating, and post-incorporation matters like foreign qualifications.
Strategic considerations for how (and when) to choose an expert for your case. Includes tips for your initial search and vetting process, and a detailed discussion of how to effectively interview candidates and assess them for the role.
A look at how emerging companies raise venture capital, from finding and pitching investors to closing a deal.
Curated course lists for self-paced learning, with CLE available in most MCLE states.
See all 69Covers key financial and accounting concepts and how they apply in specific legal practice areas, including M&A, litigation, finance, securities, emerging companies, bankruptcy, and real estate.
The different types of Chapter 11 cases, the process of a Chapter 11 case (including the “first days” and 363 asset sales), and the major documents in Chapter 11 (including Chapter 11 plans, disclosure statements and orders, and restructuring support agreements).
This program covers the ethical use of AI across core areas of legal practice, helping lawyers understand both the opportunities and the ethical considerations of these powerful tools. The program covers AI’s role in transactional work and litigation, guidance on prompting large language models, and the ethical and professional responsibility issues that arise when using AI in legal practice. Lawyers will gain practical knowledge to use AI tools effectively and responsibly in real-world settings
The basics of due diligence and closings in M&A deals. Includes an overview of the diligence process, tips for conducting due diligence, the closing process, the differences between simultaneous and delayed closings, and guidance on drafting key closing documents.
This track introduces the main documents involved in commercial lending deals. It includes walk throughs of the documents and their main provisions, covers key legal and business points, as well as strategic considerations for drafting, reviewing, and filing the documents. Documents covered include commitment letters and other preliminary documents, UCC-1 financing statements, UCC-3s, payoff letters, security agreements, and credit agreements.
This program teaches lawyers about various aspects of two advanced M&A concepts found in acquisition agreements – materiality scrapes and sandbagging. It covers drafting and negotiating tips and buyer and seller perspectives.