Your lawyers are curious about AI. We'll teach you how to evaluate tools, run small tests, and figure out what actually works for your practice—with Canadian privacy considerations built in.

Not another lecture-based CLE workshop. We bring real AI experience and work together to explore what actually works for your practice.

Robin serves 30,000+ users in production. We bring real AI implementation experience, not just theory—but we'll learn your legal needs together.

We'll be honest about what AI can and can't do. Education and tool guidance, not transformation promises.

We'll help you think through PIPEDA, data sovereignty, and client confidentiality as you evaluate AI tools for your practice.
This isn't your typical CLE workshop. We bring real experience and practical tools you can use immediately.
Hands-on practice with AI tools. Your lawyers try tools with their own cases, contracts, and research—not generic examples.
Learn with examples from your firm's practice areas. We'll work together to explore what makes sense for how your team actually works.
Practical tool guidance your lawyers can use Monday morning. Real examples, not PowerPoint presentations.
We'll teach you the Build-Measure-Learn framework—how to test AI tools incrementally and measure what actually works for your practice.
Start small with one use case. Test an AI tool on a real problem. Learn what works before expanding.
Track what matters: time saved, quality of output, accuracy. Measure with real data, not assumptions.
Use data to decide what's worth scaling. Iterate quickly based on results, not gut feeling.
Three options based on depth and time commitment
Quick Introduction
$2,500
1.5 hours • $71/lawyer
Partners who need to understand AI basics before making any investment. Quick introduction to build baseline knowledge across the firm.
Deep Dive with Your Work
$7,500
Full day (6 hours) • $214/lawyer
Firms ready to seriously evaluate AI tools. Learn how to test tools with your own work and measure results. Builds foundation for making informed AI investment decisions.
Guided Implementation Support
$18,000
4 weeks • $514/lawyer
Firms committed to learning AI properly over time. We teach you how to evaluate tools, run tests, and measure results—with ongoing support as you learn. Education and guidance, not implementation.
All tiers include materials, recorded sessions, and email support.
That's the question most partners are asking. We'll help you figure it out.
ChatGPT Plus? Legal-specific tools like Harvey AI? Enterprise plans? We'll walk through what exists and help you figure out what might be worth testing.
Learn how to run small tests and measure results. Track time saved, quality improvements, and build a data-driven case for partners.
We'll teach you frameworks for evaluating AI tools and measuring ROI with real data—then you apply them to your specific practice areas.
Client confidentiality isn't optional. We build privacy into every workflow.
We'll help you think through PIPEDA compliance and data sovereignty considerations as you evaluate AI tools.
De-identification workflows and best practices for protecting privileged information.
Understand where your data lives—AI provider policies, Patriot Act considerations, Canadian hosting options.
When to use AI, when not to, and how to maintain professional responsibility standards.
Practical knowledge you can use immediately
What is AI? What are foundational models, completions, and hallucinations? Understand the technology in plain language.
Overview of what's available (ChatGPT, Claude, legal-specific tools). Learn how to evaluate which might be worth testing for your practice.
We'll explore common use cases (research, summarization, drafting) and work together to test what might work for your specific needs.
PIPEDA compliance, client confidentiality, de-identification practices. Canadian privacy considerations for legal work.
How to evaluate AI output, catch hallucinations, and maintain professional standards. When to use AI and when not to.
Learn to run small experiments, track what matters, and build data-driven cases. We'll teach you the framework—you apply it to your practice.