Library

Introduces key AI terms and concepts, such as deep learning, machine learning, generative AI, LLMs, and supervised and unsupervised learning.

An introduction to fraud carve-outs and the issues parties consider when defining fraud, such as who’s liable, whose knowledge matters, what types of fraud claims can be brought, and what statements can form the basis for a fraud claim. Features interviews with ABA M&A Committee members Glenn West from Weil, Gotshal & Manges LLP and Tali Sealman from White & Case LLP.

In-depth look at effective deposition questioning, including open versus closed questions, the funnel approach, strategies for getting admissions, cross-examination, and testing case theories.

An introduction to depositions, including why they’re used, the different types of depositions, deposition procedure, and objections made during depositions.

This course looks at commercial lending practice at a large law firm, including what commercial lending is, who the main players are, and the differences between borrower and lender representations. It also covers how deals are staffed and the roles of finance partners, associates, support staff, and the clients.

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.

An introduction to the main deal documents in a securities offering and the role, scope and process of conducting due diligence for various types of securities offerings.

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

Covers 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.

Explains the main documents and key provisions in M&A deals, and provides an overview of the M&A deal process from start to finish. This track also explains the structures of M&A deals including asset and stock sales, direct mergers, and forward and reverse triangular mergers.

How and why emerging companies raise venture capital. This track covers the main VC funding stages, documents associated with each stage, the structure and role of VC firms, and their relationships with clients.

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, buyer and seller perspectives, and market trend information from the ABA M&A Committee’s 2022-23 Private Target Deal Points Study.