What you'll learn:
- Automate legal workflows for contract intake, drafting, review, and compliance using AI tools.
- Use generative AI to create, edit, and optimize legal documents with consistent standards.
- Integrate AI into document management systems for smart tagging, summaries, and risk detection.
- Build a complete AI-powered legal automation project adaptable to multiple practice areas.
AI for Legal Contracting, Drafting, and Transactions is a practical course for lawyers, paralegals, legal assistants, legal operations professionals, business owners, consultants, and anyone who wants to understand how artificial intelligence can improve legal workflows.
Legal work is changing quickly. Contracts still need judgment, structure, confidentiality, and professional review — but AI can now help with drafting, summarization, contract review, risk spotting, clause analysis, document classification, and transaction workflow automation.
In this course, you will learn how to use AI responsibly in legal contracting and drafting without needing programming experience.
We begin with the evolution of legal technology and the role of AI in modern legal practice. You will learn what AI can and cannot do in law, and why AI should assist legal professionals rather than replace legal judgment.
Next, we explore the foundations of legal contracts, including key clauses, contract structure, drafting workflows, contract lifecycle management, and the limitations of generic AI tools. You will learn why “vanilla” large language models are not enough for serious legal work unless they are guided by workflows, playbooks, knowledge bases, and human review.
The course then moves into practical legal AI concepts, including retrieval-augmented generation, fine-tuning, agentic workflows, and a RAG-powered virtual assistant for law firms. You will also learn how AI can support contract review and risk analysis by identifying key clauses, missing provisions, and potential negotiation issues.
You will complete assignments that help you identify legal workflows, design AI-assisted processes, and create a 30-day implementation roadmap.
By the end of this course, you will understand how to apply AI to legal contracting, drafting, contract review, and transaction workflows in a practical, responsible, and human-reviewed way.
This course is educational and does not provide legal advice.
What Students Will Learn
Add these under “What you’ll learn”:
Understand how AI is transforming legal contracting, drafting, and transaction workflows
Identify legal workflows that can be improved with AI assistance
Use AI to support contract drafting, summarization, review, and risk analysis
Understand the structure and key clauses of legal contracts
Learn why generic AI tools need legal context, playbooks, and human review
Explore RAG, fine-tuning, and agentic workflows for legal AI use cases
Design a RAG-powered legal knowledge assistant for a law firm
Apply human-in-the-loop review to reduce legal and confidentiality risks
Compare general AI tools with purpose-built legal AI platforms
Build a practical 30-day roadmap for implementing AI in a legal workflow
