Sensitive information can enter tools the firm never approved.
Leadership may not know which systems lawyers use, what those systems retain, or whether client terms permit it.
Clients are asking. Attorneys are experimenting. Vendors are multiplying. Without one accountable leader, the firm carries the risk while better-prepared competitors learn faster.
AI adoption is already happening across law firms. The only question is whether it happens deliberately—or invisibly, until an incident, client, or competitor sets the agenda.
Leadership may not know which systems lawyers use, what those systems retain, or whether client terms permit it.
Without defined review standards, hallucinated authority and missed context reach work product before anyone owns the failure.
Firms need credible answers about tools, supervision, billing, security, and the value clients actually receive.
A policy-only posture can limit incidents, but it cannot build the workflows, judgment, or confidence competitors are developing.
Chief Artificial Intelligence Officer
The executive responsible for how a firm chooses, governs, and puts AI to work.
AI decisions now reach professional responsibility, client relationships, knowledge, talent, security, and firm economics. Without one accountable person, those decisions fall to whoever is closest to the problem—the managing partner, office manager, outside IT provider, or the lawyers and paralegals doing the work. Each can handle a piece, but no one is responsible for the whole.
In nearly every firm, adoption is uneven. Some people have not begun. Some are experimenting in personal ChatGPT or Claude accounts. One lawyer or paralegal is often far ahead—but what they have learned is not visible, validated, or reusable across the firm. That creates risk and leaves valuable capability stranded.
Listen to lawyers and paralegals, map the work they actually perform, and find the techniques already producing better results.
Test the strongest workflows, define approved tools and review standards, and capture more than a prompt.
Train by role, share reusable patterns, support internal champions, and give improvements an accountable path through the firm.
Connect AI investment to firm strategy, client value, and the work lawyers actually perform.
Make clear who evaluates risk, approves use, owns outcomes, and decides when a pilot is ready.
Turn isolated experiments into governed workflows, trained teams, and internal capability.
Firms get senior ownership now—without carrying a full-time executive role before the need, budget, or operating model is mature.
I help firm leaders identify the exposure, establish ownership, and turn scattered AI activity into a governed operating plan.
Give partners a shared view of the capabilities, failure modes, professional obligations, and decisions the firm can no longer leave unresolved.
Surface shadow use, governance gaps, priority workflows, and unclear ownership—then turn the findings into an executable response.
One accountable leader across priorities, governance, vendors, pilots, adoption, and internal ownership—without waiting for a full-time hire.
Clear positions on the choices AI is forcing law firm leaders to make.
The gap is rarely curiosity. It is the leadership needed to discover, test, and scale what one lawyer or paralegal has learned.
A policy can establish boundaries. It cannot teach a practice group how to change the work.
Before AI changes the pricing model, it changes who knows how the work actually gets done.
Not the tools. The decisions that connect strategy, professional duty, and daily practice.

I’m Ken Erwin. I work with AWS Professional Services, where my experience includes AI infrastructure for Meta, event-scale resilience for Snapchat, recovery strategy for Pinterest, and conversational AI for Delta Air Lines. Earlier, I led cloud and automation initiatives at Salesforce, KAR, Angie’s List, and Interactive Intelligence.
My focus on legal work began with a case of my own and an excellent attorney who patiently helped me understand the law behind it. That experience led me to build ParaLocker, a matter-centered platform shaped by the evidence, chronology, and collaboration demands legal teams face.