The Legal AI Architect
Donna Scaffidi
Head of Legal Innovation @ Ruli AI
John Lee
GC and Head of Strategy @ Ruli AI
AI Adoption Is Accelerating. Legal Structure Isn’t.
AI tools are moving quickly inside companies, and Legal Teams.
What hasn’t kept pace is structure.
Many teams are experimenting with prompts, summaries, and drafting assistance, but without a defensible framework for how AI integrates into real workflows.
That creates risk.
Not because AI is inherently unsafe, but because unstructured usage leads to inconsistency, ambiguity, and unclear accountability.
Legal teams don’t just need better prompts.
They need architecture.
This course teaches in-house lawyers how to design AI systems grounded in guardrails, institutional knowledge, and human oversight — so that outputs are structured, reviewable, and aligned with professional responsibility.
By the end of the session, you will understand how to move from isolated experimentation to a defensible AI workflow you can confidently stand behind.
California MCLE Credit (Application Pending)
We will submit this activity for California MCLE participatory credit. Certificates of attendance will be issued to registered participants following approval.
What you’ll learn
How to design defensible AI systems that preserve legal judgment and institutional memory.
Produce structured, reviewable AI outputs that reduce ambiguity and hallucination risk.
Confidently scope AI tasks with explicit roles, constraints, and formatting requirements.
Convert legal judgment and fallback positions into enforceable AI constraints.
Reduce inconsistency by making implicit standards explicit and system-readable.
Preserve precedent, playbooks, and internal standards within AI-assisted work.
Design systems that build cumulative intelligence rather than isolated outputs.
Define clear review checkpoints that protect professional responsibility.
Establish accountability boundaries between AI assistance and human judgment.
Translate AI findings into structured issue lists aligned with legal risk categories.
Produce concise executive summaries that communicate legal impact clearly.
Design AI usage that is explainable, defensible, and aligned with ethical obligations.
Create repeatable AI policies that scale safely across a legal team.
Learn directly from Donna & John
Donna Scaffidi
Head of Legal Innovation @ Ruli AI | Ex-BigLaw + In-House Attorney
John Lee
GC and Head of Strategy @ Ruli AI | 2x GC; Ex-BigLaw
Who this course is for
General Counsel (including Solo GCs)
You need a defensible & scalable AI framework grounded in institutional knowledge.Deputy GCs & AGCs
You need a structured system for AI governance, guardrails, and consistent decision-making.In-House Counsel + Legal Ops Leaders
You're already using AI and want to create repeatable systems that preserve judgment and precedent.
What's included
Live sessions
Learn directly from Donna Scaffidi & John Lee in a real-time, interactive format.
Optional 45-day access to Ruli AI (full platform)
Follow along and apply the framework inside a live continuous legal intelligence platform during and after the session. Access is optional and not required to complete the course.
Private slack community
Connect with fellow in-house legal professionals exploring AI implementation and continue the conversation beyond the session.
Practical implementation framework
A repeatable 3-part model for prompt engineering, institutional guardrails, and human-in-the-loop oversight.
Lifetime access to recording
Revisit the content and materials whenever you need to.
Certificate of completion
Demonstrate your professional development and AI competency with a certificate of completion.
California MCLE Credit (application pending)
Certificates of attendance will be issued to registered participants following approval.
Maven Guarantee
Your purchase is backed by the Maven Guarantee.
Course syllabus
Week 1
Mar
18
The Legal AI Architect
Module 1: The Foundation — Stop Chatting, Start Engineering
Module 2: Give AI a Brain — Institutional Knowledge & Guardrails
Module 3: Give AI a Job — Designing a Defensible Workflow
From Experiment to Infrastructure
Schedule
Live sessions
1 hr
Wed, Mar 18
7:30 PM—8:30 PM (UTC)
Frequently asked questions
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