Explains the fundamentals of AI agents, including their architecture, capabilities, components, and how they differ from traditional AI tools. Learners will understand how AI agents perceive information, reason, perform tasks, interact with systems, and automate complex legal processes.

Provides an introduction to Generative AI, GPT models, and Natural Language Processing (NLP) concepts that power modern legal AI applications. This module explores how language models understand legal text, assist with document analysis, generate content, and support intelligent legal workflows.

Explores how AI agents streamline electronic discovery processes by identifying, reviewing, organizing, and analyzing large volumes of legal documents. Learners will understand AI-assisted document classification, relevance detection, privilege review, and litigation support workflows.

Examines the application of AI agents in contract analysis and management. This module covers automated contract review, clause identification, risk detection, compliance checks, summarization, and how AI can improve contract lifecycle management.

Introduces AI-powered legal research assistants that help professionals find, analyze, and summarize legal information. Learners will explore how AI agents support case law research, regulatory analysis, legal drafting, and knowledge management.

Covers the use of AI agents for continuous compliance tracking and risk management. This module explains how AI can monitor regulatory changes, identify potential risks, automate reporting, and support organizations in maintaining legal and regulatory compliance.

Explores the development and use of AI-powered legal chatbots and virtual assistants. Learners will understand how these systems support client interactions, legal information access, document assistance, appointment management, and routine legal service automation.

Examines how AI agents assist intellectual property professionals with patent research, drafting support, prior art analysis, filing preparation, and IP portfolio management. The module highlights opportunities and limitations of AI in intellectual property workflows.

Introduces AI systems designed to analyze legal data and identify patterns that may support case assessment and strategy development. This module covers predictive analytics concepts, legal data interpretation, probability modeling, and the responsible use of AI-driven insights in litigation.

Focuses on responsible adoption of AI in legal environments. This module addresses algorithmic bias, fairness, explainability, data privacy, accountability, professional responsibility, and ethical considerations when using AI for legal decision support.

Provides hands-on experience designing and developing a practical AI legal agent. Learners will apply concepts from previous modules to define a legal use case, design an AI workflow, evaluate performance, address ethical considerations, and present an AI-powered legal solution.