One firm, two doors

Proof of the model, and the model as a service.

Most advice about legal AI comes from people who have never had to live with it. We took the opposite route: we built our own legal practice on AI-native infrastructure first.

Our startup counsel practice is the proof — real clients, real contracts, real deadlines, delivered in days rather than weeks because the routine layer is engineered away and our lawyers spend their time on judgment.

Our work with law firms and in-house teams is that same model as a service: the workflows, tooling, governance and training to make your practice run the way ours already does.

How we work

The same discipline behind both doors.

01

Scope, in plain terms

Whether it's a contract or an AI mandate, you get a clear scope, timeline and owner before anything starts. No surprises later.

02

AI does the routine, people do the judgment

Our infrastructure handles drafting mechanics, research and consistency. Qualified lawyers and engineers own everything that requires judgment.

03

Delivered and measured

Work arrives when we said it would, and we track the numbers that prove the model works — turnaround, quality, adoption.

24–48 hours

Standing turnaround commitment on contracts in our own practice.

Tier 1 trained

Lawyers with BigLaw and VC fund experience behind every engagement.

Claude Code stack

Our practice runs on the same AI infrastructure we build for clients.

Writing

From the blog

A stack of data records secured by a padlock
Legal Tech 6 July 2026

Before You Sell Your Company's Data to an AI Firm, Answer These Three Questions

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Forking MikeOSS — should your firm run its own AI platform?
Legal Tech 17 June 2026

Should Your Law Firm or In-House Legal Team Fork MikeOSS?

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Legal Tech 16 June 2026

I Asked Claude for the Same Feature Twice and Got Two Completely Different Systems

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Start

Tell us which door you're at.

A contract sitting in your inbox, or an AI mandate sitting on your desk — either way, the first conversation is short and useful.