
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.
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.
Explore how AI agents cycle through sense, think, and act to automate legal workflows with defined triggers and human oversight.
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.
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.
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.
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.
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.
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.
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.
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.