AI for Legal Contracting, Drafting, and Transactions

Name: AI for Legal Contracting, Drafting, and Transactions
Rating: 5.0 (106 reviews)

Use AI for contract drafting, review, risk analysis, legal workflows, and transaction automation—no coding required

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Created byIbrahim Malick

Last updated 5/2026

English

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.

Course content

4 sections • 20 lectures • 5h 42m total length

Welcome and Course Overview4:14
This course is designed for lawyers, law students, legal operations professionals, compliance teams, contract managers, and anyone who wants to understand how artificial intelligence is beginning to reshape the legal profession. Throughout this course, we will explore the foundations of AI in a clear and accessible way. You do not need a technical background. You do not need to be a programmer. What you do need is curiosity, an open mind, and a willingness to think carefully about how legal work is changing.
We will begin with the basics: what AI is, how it differs from machine learning and generative AI, and why these distinctions matter. From there, we will look at legal use cases, including contract drafting, review, transaction support, legal research assistance, and workflow automation.
The Evolution of Legal Technology — From Word Processing to AI12:38
What AI Can (and Cannot) Do in Law13:33
Legal Use Cases: Contract Drafting, Review, and Transaction Automation13:03
Can you identify 3 legal workflows that could be automated?
Recap of Section 13:09
Congratulations on completing Section 1 of this course. You have now taken the first important step
In understanding how artificial intelligence is beginning to influence legal practice.
In this section, we started with a broad introduction to the course and its purpose.
We then looked at the evolution
of legal technology,
from the early days of word processing
and digital research tools
to the modern world of AI-enabled systems.

Introduction to Section 22:59
Welcome to Section 2.
In this section, we focus on the foundations of legal contracting and drafting.
Contracts are central to legal practice. They define rights, obligations, risk, and expectations.
As a result, they are also among the most important areas where AI is starting to play a meaningful role.
The Anatomy of a Legal Contract33:42
Introduction to Generative AI Tools (OpenAI, Claude, Copilot, Harvey, etc.)31:38
Contract Lifecycle Management (CLM) Overview20:46
Why "Vanilla" LLMs Are Not Enough for Legal Work37:34
Build Your First AI Workflow for a Law Firm
Section 2 Recap3:49
Congratulations on completing Section 2 of this course.
In this section, we moved more deeply into the foundations of legal contracting
and the role AI may play in drafting-related work.

RAG for Law Firms44:39
Fine-Tuning for Legal AI52:02
Agentic Systems & Workflow Automation9:26
Five Core Components to Enable Agentic AI8:20
VA for Law Firms: Creating a RAG-Powered Legal Knowledge Assistant6:16
By the end of this lecture, students will be able to:
explain how a legal virtual assistant differs from a generic chatbot,
identify the role of retrieval, embeddings, memory, and channel integration,
build a basic legal Q&A assistant in n8n using a vector database,
understand the risks and guardrails needed for legal AI workflows.

AI Platforms Built for Lawyers18:37
Theme: legal AI is shifting from generic chatbots to purpose-built legal workflow platforms.
Analyze a Contract Using an AI-Assisted Risk Review Framework
How to Apply AI Safely in Legal Workflows7:41
In this lecture, students learn how to apply AI in legal workflows without creating unnecessary risk. The focus is on confidentiality, human review, responsible tool selection, and avoiding overreliance on AI-generated legal output.
Learning Objectives
By the end of this lecture, students will be able to:
Understand why AI should support, not replace, legal judgment.
Identify legal workflows that require human review.
Recognize confidentiality and data protection risks.
Design safer AI-assisted legal workflows.
Apply a human-in-the-loop model to contract drafting and review.
Building Your Legal AI Implementation Roadmap10:11
This lecture gives students a step-by-step framework for implementing AI in a legal workflow. It introduces a simple 30-day roadmap that can be used by law firms, legal departments, consultants, and legal operations teams.
Learning Objectives
By the end of this lecture, students will be able to:
Select a suitable legal workflow for AI implementation.
Define success criteria for a legal AI project.
Build a simple 30-day implementation roadmap.
Identify tools, data sources, and review checkpoints.
Plan a pilot project before full deployment.
Final Course Recap and Next Steps5:12
This lecture summarizes the course and reinforces the main message: AI can transform legal contracting and drafting, but it must be used responsibly, with proper workflow design and human oversight.
Learning Objectives
By the end of this lecture, students will be able to:
Recall the major themes of the course.
Understand how the course sections connect.
Identify practical next steps for applying AI in legal work.
Recognize the importance of responsible AI adoption in law.
Prepare to continue learning and experimenting.

Requirements

No prior AI or programming experience required — all tools and workflows will be explained step-by-step.
Basic familiarity with legal documents (contracts, agreements) is helpful but not required.

Description

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

Who this course is for:

Lawyers, paralegals, and legal assistants who want faster, more accurate contract drafting and review.
Business owners, entrepreneurs, and managers who handle contracts, vendor agreements, or compliance documents.
Legal tech professionals and consultants seeking to implement AI-powered contract automation for clients.
Anyone interested in generative AI for legal drafting, contract review, and transactional efficiency.

AI for Legal Contracting, Drafting, and Transactions

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Course content

Section 1: Introduction to AI in Legal Practice5 lectures • 47min

Section 2: Foundations of Legal Contracting and Drafting6 lectures • 2hr 10min

Section 3: Generative AI for Legal Drafting5 lectures • 2hr 1min

Section 4: AI for Contract Review and Risk Analysis4 lectures • 42min

Requirements

Description

Who this course is for: