AI Legal Consulting
Practical AI adoption
without the exposure
We help companies put AI to work, and we advise law firms on their own AI governance, ethics compliance, and training. The point is to say yes to the tools — with paper that holds up when someone asks how.
Who we advise
For Companies
Adopt AI without inheriting its legal risk.
For businesses putting AI to work — in products, operations, or marketing — we build the legal guardrails that let you move fast defensibly.
- AI readiness & risk review — where AI actually touches your data, vendors, IP, and customers
- Internal AI-use policies and workflow guardrails your team will actually follow
- Vendor and contract architecture — data terms, liability, and exit rights in AI agreements
- IP and content strategy — training data rights, output ownership, and licensing
- Board-level governance, audit protocols, and incident response
For Law Firms
Counsel to counsel: AI governance for your firm.
Bar regulators and malpractice carriers now expect firms to govern their AI use — written policies, trained staff, vetted vendors. We advise firms on exactly that, as attorneys who understand the ethics rules from the inside.
- AI governance audit — your firm’s tools and practices mapped against ABA Formal Opinion 512 and New York guidance
- Written AI-use policy development — permitted uses, confidentiality safeguards, supervision, and client disclosure
- Vendor due diligence — tools evaluated against the criteria bar guidance expects (data retention, training-data practices, security, contract terms)
- Training for lawyers and staff on responsible, competent AI use
- Malpractice-renewal support — building the governance your carrier’s AI questionnaire is probing for
- Ongoing governance retainer — policy updates and counsel as rules and tools evolve
New York court rule Part 161 (effective June 2026) and NYC Bar Formal Opinion 2024-5 have made firm-level AI governance a present-tense obligation, not a future one.
Book a Law Firm ConsultationEngagements are defined-scope and fixed-fee wherever possible, scoped on consultation and confirmed in a written engagement agreement. Every engagement begins with a conflict check.
Typical engagements
The Inventory
Every AI tool your team already uses, what data each one sees, and which three to fix first.
The Policy
An AI-use policy short enough to be followed and specific enough to be enforced.
The Vendor Paper
We read the data terms, the training-rights clause, and the exit provisions before you sign, and negotiate the ones that matter.
Ownership
Who owns the output, what you can license, and where the training data came from.
The Board’s Questions
A governance frame a director can ask about without a technical briefing, plus what to do the day something goes wrong.
Standing Counsel
The AI questions, on a General Counsel plan, so they get asked while they are still cheap.
Built for confidentiality.
The first thing an AI tool learns is what you paste into it. We start with that: which tools may see client data, which may not, what the vendor is allowed to keep, and what happens on the day someone pastes the wrong thing. Written down, trained once, and revisited when the tools change.
AI consulting questions
Related insights
The next step
Bring the tools you are already using.
Request an IntroductionComplimentary 15-minute consultation
