7 Best Generative AI Courses for Lawyers in 2026: From Drafting to Due Diligence

If you are new to generative AI, start with Generative AI for Everyone by DeepLearning.AI for a no-code overview. If you want a free, non-technical grounding with a certificate, the University of Maryland course is the most accessible. Upskili sits between those two: it builds a personalised path around your own legal tasks and goal. Lawyers already comfortable with AI tools who want to evaluate or build legal tech should look at the more specialised options.

Quick comparison

How we chose these courses

Every course on this list was assessed against criteria that matter to a working lawyer. We looked for content that connects directly to the documents, workflows and decisions you handle each week, not generic AI theory.

• Relevance to legal tasks: The course must cover skills you can apply to drafting contracts, reviewing discovery, researching case law or communicating with clients.
• No unnecessary prerequisites: Courses that assume coding or advanced technical knowledge are clearly labelled. The beginner entries require none.
• Hands-on practice: Preference for courses that let you work with real documents or realistic legal scenarios, not just watch lectures.
• Clear cost: Free or transparent pricing, with no hidden fees.
• Recognised certificate: Where a certificate is offered, it should come from an institution or provider a lawyer can cite with confidence.

The list runs from the most accessible starting point to the most specialised. Course details come from each provider's own page, checked on the dates given in the records. We did not take the courses ourselves.

The 7 best generative AI courses for lawyers, one by one

1. Generative AI for Everyone (DeepLearning.AI)

Best for: Lawyers who want a clear, no-code introduction to how generative AI works and what it can do in practice.

Taught by Andrew Ng, this beginner course explains generative AI from the ground up. It covers how the technology works, the tools available and its real-world uses, with a section on the impact on business and society. No coding or prior AI knowledge is needed.

What you'll learn:

• How generative AI works and what it can and cannot do
• Common tools and their real-world applications
• The impact of generative AI on business and society
• How to think about AI opportunities and risks in your own work

Worth knowing: The certificate requires a PRO subscription. The course is broad and does not address legal workflows specifically, so you will need to connect the concepts to your own practice yourself.

Cost and certificate: Check the provider's current pricing. Earn a certificate with PRO.

2. Free Online Certificate in Artificial Intelligence and Career Empowerment (Robert H. Smith School of Business, University of Maryland)

Best for: Lawyers who want a free, structured overview of AI with a certificate from a recognised business school.

This free online programme covers an overview of artificial intelligence, how it is transforming different business functions, and career-focused topics such as job searching and consulting. It is designed for early to mid-career professionals and requires no technical background.

What you'll learn:

• An overview of artificial intelligence and its business applications
• How AI is changing functional areas relevant to legal practice
• Career empowerment skills, including how AI affects job searching and consulting

Worth knowing: The course is broad and business-oriented rather than legal-specific. You will need to translate the functional-area examples into your own practice context.

Cost and certificate: Free. You earn a free certificate in "Artificial Intelligence and Career Empowerment" from the Robert H. Smith School of Business at the University of Maryland.

3. Upskili: a personalised path for your goal (Upskili, publisher of this guide)

Best for: Lawyers who want a learning path built around their own goal—such as using generative AI to speed up legal drafting and document review—rather than a fixed, pre-written course.

Suppose you want to use AI to draft first-pass contract clauses and summarise document sets during due diligence. Upskili, the platform that publishes this guide, starts from that goal. You state what you want to achieve; Upskili works out the skills required and teaches them in order, measuring progress by demonstrated capability. It adapts as you learn, so you spend time on what you actually need. The platform costs free to approximately $20, depending on AI token/credit usage. Plan a personalised route into legal drafting and review with AI.

What you'll learn:

• The generative AI skills your specific legal goal requires, taught in order
• How to apply those skills to your own drafting, review or research tasks
• How to assess AI output against your professional standards

Worth knowing: Upskili is not a fixed course with a set syllabus or a certificate. It is a personalised, AI-powered learning path that adapts to you. If you need a structured certificate for your firm's CPD records, consider one of the other entries alongside it.

Cost and certificate: Free to approximately $20, depending on AI token/credit usage. Certificate not stated.

4. Explore the business value of generative AI solutions (Microsoft Learn)

Best for: Partners, practice managers and in-house legal operations leads who need to identify high-value AI opportunities and assess readiness.

This Microsoft Learn path is built for business leaders. It walks through generative AI concepts, how to spot where AI can add real value, and how to implement responsible AI solutions. It covers Microsoft Copilot, Azure AI and intelligent agents, giving you a framework for evaluating AI tools your firm or department might adopt.

What you'll learn:

• How to identify high-value generative AI opportunities in a legal practice
• How to assess organisational readiness for AI adoption
• How to implement responsible AI solutions
• An understanding of Microsoft Copilot, Azure AI and intelligent agents

Worth knowing: The content is tied to the Microsoft ecosystem. If your firm uses other platforms, the principles still apply but the tool-specific sections will be less directly relevant.

Cost and certificate: Not stated. Check the provider's current pricing.

5. Applied Generative AI and Agentic AI (Johns Hopkins University)

Best for: Lawyers in technology-facing roles—such as legal operations, knowledge management or legal tech procurement—who want a structured, university-backed certificate programme.

This 16-week online programme covers LLMs, retrieval-augmented generation (RAG), prompt engineering, fine-tuning, agentic workflows and responsible AI. It is designed for technology and data professionals and includes hands-on projects. You earn a Certificate of Completion and 11 CEUs from Johns Hopkins University.

What you'll learn:

• How large language models and RAG systems work
• Prompt engineering and fine-tuning techniques
• Agentic workflows and their legal applications
• Responsible AI principles and practice

Worth knowing: This is a substantial time commitment and is designed for people with a technical or data background. It is not a beginner course. Confirm with your jurisdiction whether the CEUs count towards your continuing legal education requirements.

Cost and certificate: Check the provider's current pricing. Certificate of Completion from Johns Hopkins University; 11 CEUs.

6. Applied Generative AI Engineering (Udacity)

Best for: Lawyers who can code and want to build or customise generative AI tools for legal workflows.

This nanodegree programme focuses on building and deploying generative AI solutions. It covers model selection, prompt engineering, parameter-efficient fine-tuning (PEFT), RAG systems, vector databases and multimodal applications. It is aimed at developers and assumes intermediate technical skills.

What you'll learn:

• Model selection and prompt engineering for legal use cases
• Building RAG systems and working with vector databases
• Parameter-efficient fine-tuning (PEFT) techniques
• Deploying multimodal generative AI applications

Worth knowing: This is a developer course. If you do not already write code, start with an earlier entry and build your technical foundation first. The subscription model means cost depends on how quickly you complete the 56 hours of content.

Cost and certificate: Subscription · Monthly. Program Certificates.

7. Advanced: Generative AI for Developers (Google Cloud)

Best for: Lawyers with a strong technical background who work directly with machine learning engineers or data scientists on legal AI projects.

This Google Cloud learning path contains 12 technical activities built for app developers, machine learning engineers and data scientists. It has a recommended prerequisite: the Introduction to Generative AI learning path. The content is the most technically advanced on this list.

What you'll learn:

• Advanced generative AI techniques on Google Cloud
• Technical implementation skills for AI systems
• Skills relevant to collaborating with engineering teams on legal AI tools

Worth knowing: This is a specialised technical path, not a course for practising lawyers who simply want to use AI in their daily work. It assumes significant prior knowledge and is only relevant if you are building or deeply evaluating AI systems.

Cost and certificate: Not stated. Check the provider's current pricing.

Which course should you start with?

Your choice depends on your current comfort with AI and what you need it to do in your practice.

New to generative AI: Start with entry 1, Generative AI for Everyone. It gives you a solid conceptual foundation in under six hours, with no technical prerequisites.

Short on time and want a free certificate: Entry 2, the University of Maryland programme, is free and gives you a certificate you can add to your professional profile.

Want a path built around your own legal work: Entry 3, Upskili, starts from your specific goal—whether that is drafting, review or research—and adapts as you learn.

Assessing AI for your firm or department: Entry 4, Microsoft Learn, helps you evaluate opportunities, readiness and responsible implementation without requiring technical depth.

Ready for a structured, university-backed programme: Entry 5, Johns Hopkins, offers a certificate and CEUs over 16 weeks, suited to legal tech professionals.

Building or customising AI tools: Entry 6, Udacity, is for lawyers who code and want to deploy their own solutions.

Working with engineering teams on AI systems: Entry 7, Google Cloud, is the most technical option and only makes sense if you have the prerequisite knowledge.

A learning path for lawyers

You do not need to pick just one course. A phased approach works well.

Phase 1: Foundations. Start with entry 1 or entry 2 to understand what generative AI is, how it works, and what it means for legal practice. Both require no coding and fit around a busy schedule.

Phase 2: Hands-on practice with your own tasks. Move to entry 3 (Upskili) or entry 4 to apply AI directly to drafting, document review or research. At this stage, you work with your own documents and workflows, learning what the tools can and cannot do reliably.

Phase 3: Specialisation. Depending on your role, choose entry 5 for a formal certificate and deeper technical understanding, entry 6 if you want to build tools, or entry 7 if you are working directly with AI engineering teams.

Where generative AI fits in a lawyer's work

Generative AI is a tool, not a substitute for legal judgement. Here is where it can help, and where your professional review remains essential.

Drafting and review. AI can generate first drafts of contract clauses, settlement agreements or client correspondence. For example, a lawyer preparing for a contract negotiation might use a generative AI tool to summarise the key obligations and potential risks in a draft agreement. They would then review the summary against the original clauses, check for any missed nuances, and adjust their negotiation strategy accordingly.

Legal research. AI can surface relevant cases, statutes and regulatory updates faster than manual searches. But it can also hallucinate citations or misstate holdings. Every source must be verified before it appears in a brief or memo.

Client communication. AI can help draft client updates or explain complex legal concepts in plain language. The lawyer remains responsible for the accuracy of the advice and must review every communication before it is sent.

Practice management. AI can assist with matter intake, conflict checks and engagement letter drafting, subject to confidentiality and data protection rules. Check your firm's policies and the tool's data handling terms before using AI on any client matter.

Important: AI output needs a qualified lawyer's review and cannot replace professional judgement, ethical obligations or sign-off. The person signing the document or giving the advice is responsible for its contents, however it was drafted.

How to decide where to start

Assess your current comfort with AI and your most immediate work need. If you have never used a generative AI tool, pick a short beginner course and try it on a low-risk task like summarising a public judgment. If you already use AI casually and want to apply it systematically to your practice, a personalised path like Upskili can start from your own documents and goals. Start a path built around your legal work.

Whatever course you choose, the rule is the same: AI suggests, you decide. Every piece of AI-generated work product must be reviewed by a qualified lawyer before it reaches a client or a court.