Library

An overview of the hedge fund industry, including the largest hedge funds, common types of hedge fund investors, and how hedge funds make money.

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

The key differences between private equity M&A and strategic M&A, including investment goals, sources of funding, deal complexity, management retention, and break-up fees.

How to use the MIN and MAX functions to easily find the smallest or largest number in a set of values, with a practice example based on a company’s cap table.

Cap tables and pro forma cap tables are used before, during and after a deal. This course uses Excel examples to explain their structure, content and uses.

Explains the purpose of entire agreement clauses, when they become important, and the language they generally include.

An introduction to finance and accounting basics including valuation, statistics, data visualization, and where to find financial information about a company. This track also provides an introduction to Excel and explains how to perform present and future value calculations.

This track takes a look at the typical loan transaction process. This includes an overview of what it means to be a lending attorney, how a commercial lending deal team is typically structured, the main stages of a typical transaction, the due diligence process, the attachment and perfection process for security interests, the use of financing statements under the UCC, and the closing of the loan transaction.

An introduction to corporate restructuring practice, including how restructuring practice groups are organized, the roles of the key players, the types of restructuring transactions distressed companies may consider, and overviews of Chapter 11 cases and 363 sales.

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

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.