Generative AI & AI Agents for Legal Professionals

Name: Generative AI & AI Agents for Legal Professionals
Rating: 4.1 (75 reviews)

Master legal AI tools, structured workflows, confidentiality risks, and a practical adoption plan for lawyers and legal

Created byData Universe

Last updated 9/2026

English

English [Auto],Estonian [Auto],

What you'll learn

Understand what generative AI and AI agents are in legal practice and why they are transforming how legal work gets done right now.
Write effective prompts for legal tasks including research, contract drafting, case analysis, compliance review, and client communication.
Apply the right AI tool for each legal task, choosing confidently between ChatGPT, Claude, Perplexity, and specialized legal platforms.
Design structured AI workflows for legal practice, moving beyond single prompts to reliable, repeatable processes with human oversight.
Identify high-impact AI use cases across litigation support, contract review, compliance monitoring, and client intake and management.
Manage hallucinations, confidentiality risks, attorney-client privilege, and professional responsibility obligations when using AI tools
Navigate the emerging regulatory landscape for legal AI, including liability of AI agents and evolving professional conduct requirements.
Prioritize AI initiatives using a structured framework that evaluates ROI, risk, and feasibility specific to legal practice contexts.
Build a one-page AI adoption plan tailored to your legal team or firm and launch your first initiative with a 30-day action checklist.
Position yourself as an AI-literate legal professional who can evaluate tools critically and adopt them responsibly and effectively.

Course content

9 sections • 31 lectures • 3h 49m total length

What generative AI and AI agents are in legal practice6:13
Learn how generative AI and AI agents are deployed in legal practice to draft clauses, summarize case law, analyze documents, and automate workflows while outlining the chatbot versus agent distinction.
Why lawyers and in‑house teams should care now7:30
How AI is transforming legal work and client expectations9:34
Explore how generative ai and ai agents transform core legal workflows, from research acceleration to drafting, contract review, and litigation support, raising client expectations for speed, cost efficiency, and transparency.

How generative AI works at a high level for legal tasks5:33
Discover how generative ai uses pattern recognition on vast legal texts to draft contracts, summarize research, and extract information, while recognizing its limits and the need for verification.
Prompting basics for legal research, drafting and analysis6:34
Master how clear, specific prompts shape ai output for legal professionals by specifying jurisdiction, document type, tone, length, and detail for research, drafting, and analysis.
From chatbot to AI agent in the legal workflow6:35
Agent loop: sense–think–act in legal scenarios5:46
Explore how AI agents cycle through sense, think, and act to automate legal workflows with defined triggers and human oversight.

Legal research and case law analysis7:33
Contract drafting, review and negotiation support6:21
Harness ai contract drafting, automated contract review, and negotiation support to cut drafting time, accelerate reviews, flag risks, and let lawyers focus on judgment and risk allocation.
Litigation support, pleadings and argument drafting6:52
Compliance, risk monitoring and policy management6:41
Harness AI to transform compliance from reactive document management to proactive risk monitoring and policy maintenance across multiple jurisdictions, with automated monitoring, policy generation, risk mapping, and workflows.
Client communication, intake and matter management6:47

ChatGPT and Claude for legal drafting and analysis6:40
Perplexity and specialized legal research tools7:17
Contract lifecycle and review tools with Gen AI7:36
AI agents and automation tools for law firms and in‑house teams8:20
Deploy AI agents that autonomously execute complete workflows for law firms and in-house teams, acting as virtual paralegals to automate matter intake, conflict checks, document review, deadlines, and billing.
NotebookLM and document‑centric Gen AI for legal knowledge bases6:30
NotebookLM analyzes only uploaded documents, delivering source-grounded answers with page citations. Build matter-specific knowledge bases, cite precise documents, and maintain confidentiality for focused, compliant legal work.
Legal‑focused Gen AI platforms and copilots for law firms7:35
Explore firm-wide copilot platforms like Harvey, Genie AI, Lexis Plus AI, and CoCouncil that integrate with document management systems and daily workflows to streamline research, drafting, and analysis.
Claude Code / AI Studio for drafting corporate legal solutions8:24

Mapping legal tasks to AI opportunities7:34
Map legal tasks to AI opportunities using a three-factor framework—volume and repetition, pattern consistency, and risk—to identify quick wins and long-term AI adoption opportunities across a task inventory.
From single prompts to structured AI workflows8:24
Move from isolated prompts to structured AI workflows that deliver consistent quality and time savings in legal tasks, supported by prompt playbooks, firm standards, and human oversight.
Human‑in‑the‑Loop for legal judgment and risk6:57
AI accelerates legal work, but attorneys verify every factual assertion and uphold professional responsibility. A risk-based, human-in-the-loop approach uses two-step reviews and mandatory checkpoints to maintain accuracy and ethical compliance.
Prioritizing high‑ROI AI use cases in legal practice9:21

Hallucinations, reliability and citation checking8:57
Prevent AI hallucinations in legal work by enforcing rigorous citation verification and source checks, including detecting fabricated citations. Verify every citation and factual assertion to avoid sanctions and reputational damage.
Confidentiality, privilege and data protection8:08
Learn to protect client confidentiality and attorney-client privilege when using artificial intelligence in legal work, by selecting enterprise tools, anonymizing data, and following strict data-handling protocols.
Professional responsibility and ethical use of AI9:06
Master professional responsibility in the AI era by achieving AI literacy, verifying AI outputs, and disclosing AI use to clients while preserving competence, diligence, candor, and supervision of AI-assisted work.
Emerging legal AI regulation and liability of AI agents9:40
Understand emerging legal AI regulation, including the EU AI Act high-risk criteria and disclosure requirements, and clarify liability between attorneys, firms, and vendors with strong human oversight.

Requirements

No technical background required, this course is designed for legal professionals, not developers or data scientists.
No prior experience with AI tools is needed, all concepts are introduced from scratch with legal-specific examples and workflows throughout.
All you need is a device with internet access and a role in legal practice where improving quality, speed, or efficiency matters.

Description

Legal work is changing faster than most professionals realize. AI tools are already being used across law firms and in-house teams to accelerate research, draft contracts, review documents, and support compliance monitoring. The question is no longer whether AI will transform legal practice, but whether you will be ready when it does.

This course gives you the practical framework to get ready.

Designed specifically for lawyers, paralegals, in-house counsel, and legal operations professionals with no technical background, this course takes you from understanding what generative AI and AI agents actually are, to applying them confidently across the full range of legal tasks you handle every day.

You will explore high-impact use cases across legal research and case law analysis, contract drafting and review, litigation support, compliance monitoring, and client communication. You will learn how to choose the right tool for each task, selecting from ChatGPT, Claude, Perplexity, and specialized legal AI platforms based on the specific demands of your workflow.

You will build structured AI workflows that go beyond single prompts to repeatable, reliable processes with appropriate human oversight for legal judgment and risk. And you will develop a clear understanding of the risks that matter most in legal practice: hallucinations and citation accuracy, attorney-client privilege and confidentiality, professional responsibility obligations, and the emerging regulatory landscape governing AI liability.

The course closes with a hands-on section where you select your first use case, build a one-page adoption plan, and follow a 30-day action checklist to move from curiosity to confident implementation.

No technical background required. Just a commitment to practicing law at the level your clients and colleagues will soon expect.

Who this course is for:

Any legal professional curious about AI who wants a structured, practical, and ethics-aware guide to adopting these tools with confidence
Lawyers and solicitors in private practice who want to use AI to work faster, reduce research time, and improve the quality of their output.
In-house legal counsel and corporate legal teams looking to automate repetitive tasks and handle higher volumes without increasing headcount.
Compliance officers and risk managers in regulated industries who want to use AI for policy monitoring, gap analysis, and reporting.
Legal operations professionals who want to identify where AI creates the most efficiency gains across contract, compliance, and matter workflows.
Law firm partners and legal directors who need to evaluate AI tools strategically and guide responsible adoption across their teams.
Paralegals and legal assistants who want to use AI to enhance their research, drafting, and document review capabilities significantly.
Legal tech professionals and consultants who advise law firms or legal departments on technology adoption and process improvement.
Academics and legal researchers who want to understand how generative AI is transforming legal practice, research, and education.
Law students and early-career lawyers who want to develop AI literacy before it becomes a baseline expectation in the legal profession.

Generative AI & AI Agents for Legal Professionals

What you'll learn

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Course content

Why Gen AI and AI Agents Matter for Legal Professionals3 lectures • 23min

Core Concepts (Non‑Technical)4 lectures • 24min

High‑Impact Use Cases in Legal Work5 lectures • 34min

AI Tools Legal Professionals Should Know7 lectures • 52min

GenAI & AI Agents for Legal Professionals Test I0

Designing AI‑Enhanced Legal Workflows4 lectures • 32min

Risks, Ethics and Regulation in Legal AI4 lectures • 36min

Getting Started: Legal AI Adoption Roadmap3 lectures • 27min

GenAI & AI Agents for Legal Professionals Test II2 lectures • 1min

Requirements

Description

Who this course is for: