Core Modules
Five essential modules that every legal professional completes, building progressively from foundations to integrated practice.
AI Foundations for Legal Professionals
- What AI actually is and how large language models work
- Capabilities vs. limitations for legal tasks
- Legal-specific use cases and real-world examples
- Common misconceptions and how to evaluate AI claims
AI Tools Landscape
- Surveying tools for research, drafting, review, and management
- Evaluation criteria: accuracy, security, cost, and compliance
- Hands-on demos with leading legal AI platforms
- Building your personal AI toolkit
Prompt Engineering for Law
- Structuring effective prompts with role, context, and constraints
- Iterative refinement and chain-of-thought patterns
- Practice-area-specific prompt templates
- Testing, validating, and improving AI outputs
Ethics, Confidentiality & Compliance
- Data privacy and attorney-client privilege with AI tools
- Regulatory frameworks: EU AI Act, ABA guidelines, and beyond
- Bias detection and hallucination risk management
- Building ethical AI use policies for your practice
AI-Powered Legal Workflows
- Integrating AI into research, drafting, and review processes
- AI-assisted client communication and billing
- Quality control and human-in-the-loop checkpoints
- Measuring ROI and documenting efficiency gains
Optional Modules
Deepen your expertise with specialized modules tailored to your practice area and goals.
Advanced Prompt Patterns
- Chain-of-thought and few-shot reasoning techniques
- Multi-step reasoning and output formatting
- Adversarial testing and edge-case handling
- Building reusable prompt libraries
Document Review & Due Diligence
- AI-assisted contract analysis and clause extraction
- Risk flagging and anomaly detection
- Bulk review strategies for large document sets
- Quality assurance and human oversight workflows
Litigation & Discovery
- E-discovery workflows and document classification
- AI-powered case law research and analysis
- Brief drafting with AI assistance
- Predictive analytics for case outcomes
Contract Lifecycle Management
- Template generation and clause libraries
- AI-assisted negotiation support
- Compliance checking and regulatory alignment
- Automated renewal and obligation tracking
AI Governance & Firm Policy
- Building internal AI usage policies
- Staff training and change management
- Risk assessment and mitigation frameworks
- Measuring and reporting AI adoption ROI
Specialized Tracks
Role-specific learning paths designed for the unique challenges of your position.
Judges & Judicial Officers
- AI in court administration and case management
- Evidentiary challenges with AI-generated content
- Sentencing tools and algorithmic accountability
- Judicial ethics and maintaining impartiality
In-House Counsel & Compliance
- Enterprise AI governance and policy development
- Vendor assessment and procurement frameworks
- Regulatory monitoring and compliance automation
- Board reporting and stakeholder communication
Law Firm Leadership
- Strategic AI adoption and competitive positioning
- Pricing models and value-based billing with AI
- Change management and team upskilling
- Client expectations and market differentiation
How You'll Learn
Six activity types grounded in the Smoother methodology, designed to build progressively deeper competence.
Exploration & Comprehension
Guided discovery of AI tools, concepts, and capabilities through structured exercises.
Interpretation
Analyzing AI outputs, identifying patterns, and understanding model behavior.
Critical Analysis
Evaluating AI reliability, detecting bias, and assessing output quality.
Application & Creation
Hands-on exercises: drafting, reviewing, and researching with AI tools.
Evaluation & Feedback
Peer review, comparing AI vs. human outputs, and applying quality rubrics.
Metacognition & Reflection
Self-assessment, learning journals, and practice integration planning.
Ready to Start Your Learning Journey?
Tell us about your needs and we'll design a curriculum tailored to your practice.
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