Library

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

Talks about why notice provisions matter, what information they typically include, and why.

What do civil litigators do? This course explains the typical roles in a civil litigation group at a law firm, including partners, counsel, associates, and paralegals, and also describes the role of the client.

How to format pages numbers, have different page numbering for different parts of your documents (like exhibits), and other features involving page numbering in Microsoft Word.

A review of the typical process for closing a lending transaction, from picking a closing date, to conditions precedent and conditions subsequent, closing checklists, preparing for closing, and closing day.

Focuses on how junior associates can confidently and efficiently receive new assignments. Covers how to prepare for assignment meetings, ask clarifying questions, confirm expectations, and follow up.

The basics of taking a deposition. This track includes how to notice or subpoena a deposition, draft a deposition outline, and select documents to use in the deposition; plus effective questioning techniques and strategies for dealing with a difficult witness or opposing counsel.

This program covers how corporations authorize their actions and draft written consents, Delaware annual reports, ‘34 Act disclosure requirements for public companies, and two methods of calculating corporate franchise tax.

Drafting tips and strategic considerations for specific key motions, including motions to dismiss, preliminary injunctions and TROs, discovery motions, and motions for leave to amend.

An introduction to the document review and production process, privilege and work product protection, and litigation holds.

Mastering the essentials of trial practice: opening statements, closing arguments, directs and cross-exams. Also covers courtroom decorum and ethical issues that arise during a trial.

This certificate program gives lawyers an understanding of generative AI and large language models, covering key AI concepts and terms, the impact of GenAI on the legal industry and practical applications for lawyers. It also looks at the risks, limitations, and ethical concerns associated with LLMs, letting legal professionals better understand the opportunities and considerations involved in using GenAI in their practice.