Executive AI training for legal leaders
You know the work. Turn that expertise into AI-enabled work that clients notice and the P&L reflects.
Hands-on training for partners, general counsel and legal operations leaders, led by a former law-firm partner who builds the systems himself.
For one senior lawyer or legal leader first. The practice follows what that person can now do.
Start with a task the practice repeats every week.
Turn legal expertise into a working example.
Evaluate accuracy, privilege, permissions and exceptions.
Give the work an owner and a measure.
Practical governance is part of the work, not a gate added at the end.
Built around what the practice values
Redesign high-friction matter work
Deliver value they can see
Move with clear controls
The program
A legal leader's job is to choose valuable problems, ask better questions of builders and vendors, judge the output and lead adoption. This program develops that judgment through hands-on work.
Executive working session
Connect AI capabilities to how the practice makes money and serves clients. Map a workflow, establish its baseline and decide whether to build, buy, automate simply, or leave it alone.
A prioritized use-case brief and a clear success measure.
Guided build lab
Work alongside me to assemble a representative matter workflow. Learn where agents, tools, documents and lawyer judgment fit, and test what happens when the inputs are incomplete or wrong.
A working learning prototype and an evaluation checklist.
Leadership application
Translate the exercise into a practical pilot proposal: ownership, budget, access boundaries, privilege and confidentiality rules, approvals, training and a review cadence tied to practice performance.
A pilot charter and an adoption plan your practice can own.
Built for your context. A practice group leader, a general counsel, or a legal operations lead. The workflows, depth and format are scoped around where you are starting.
Legal expertise is the prerequisite.Applied learning
Select exercises tied to how your practice or department actually runs. Each one connects a legal problem, a working example and a way to judge whether it helps.
Practice turning emails, forms and attachments into a structured intake record, with the missing facts flagged and the right owner suggested.
Assemble a source-linked status update from the matter file, docket and time entries. Nothing in it that cannot be traced to a document.
Compare two drafts and produce a plain-language summary of what moved, why it matters and which points need a lawyer, for a lawyer to verify before it is sent.
Use synthetic party and matter data to surface possible conflicts, rank them by risk and prepare the evidence for a human clearance decision.
Draft compliant billing narratives from raw entries and outside counsel guidelines, with exceptions flagged for the billing partner to approve.
Prototype an NDA or standard-agreement review that applies your playbook, marks deviations and stops where the playbook is silent.
Illustrative workshop exercises, not claims of completed client engagements. Labs use synthetic or explicitly approved material; a training prototype is not a production deployment.
Every lab makes room for exceptions, evidence and lawyer approval. Leaders learn to ask what the system can access, what it may never see, how its output is evaluated and when it must stop and ask for help.
GovernanceYour instructor & building partner
I work at the intersection of business transformation, hands-on AI building and practical governance.
I've spent six years doing business transformation in legal, led teams as a law-firm partner and consultant, and operated businesses as an entrepreneur. I understand the P&L, and the work it takes to change the processes behind it.
I also build applied AI and multi-agent systems myself. That means we can move from an executive's idea to the workflow, infrastructure, business logic and controls that would make it useful.
My legal background is an advantage when procurement, privacy, risk or governance slows adoption. The goal is to help your team move with sound judgment.
The legal context
Firms and legal departments are buying AI faster than they are building the judgment to use it, and the people who can do both law and the building are scarce. My training offer focuses on the complementary need: leaders who can identify, evaluate and sponsor that work in their own practice.
Law firm leaders are urged to invest in AI training; half of professionals do not see firm AI strategy in daily work.
Legal engineers, people who practice law and build with AI, are wanted everywhere, and the talent gap is the bottleneck.
Independent market references, not clients, partners or endorsements.
Start with your practice
Let's build the program around that.
Bring a task your practice repeats every week, where you are starting and what a good result would look like. We'll scope the right working session and build lab. Prefer LinkedIn? Message me there.