A four-week AI residency for lawyers. You’re matched 1:1 with a mentor and build alongside a cohort of lawyers like you.
COHORT 2 CLOSED
$5,250 all-in · reserve with a $500 deposit
Reserve your seat in Cohort 3 (September) — the deposit is credited in full toward tuition and transferable to a later cohort.
Not ready to commit? Join the waitlist and we'll write when September dates are set:
Deposit is credited toward tuition and transferable to a later cohort. See terms.
Cohort 2 closed · Cohort 3 in September
Cohort 3 · September 2026 · dates announced soon
The outcome
Two weeks changed how they work. Here’s what it felt like, in their own words.
I · The residency
What you get.
Four weeks. A ramp-up week, then three weeks of building. You’re matched with one mentor who already does this work, plus a cohort of peers, live teaching, and a platform you keep. You leave with something real: a workflow, tool, or system that proves the pattern has taken hold.
A working build
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One real, working thing: a workflow, tool, or system shaped to your practice
Scoped with your mentor in week one, shipped by Demo Day, yours to keep
1:1 mentorship with an experienced Legal Quant
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Matched to your practice and seniority on signup
A structured sprint: a 60-minute 1:1 every other day, Mon / Wed / Fri
Starts with a scoping call that locks your build
WhatsApp access and side-by-side screen-sharing between calls
Live webinars from the mentor bench
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Six live webinars, recorded so you can rewatch any time
Judgement: picking the problem; owning your data and verifying AI
Craft: CLAUDE.md, Skills, Hooks, Plugins; then pipelines, QA, shipping
Career, sustaining the shift, and running models on your own hardware
Demo Day with investors and AI leads
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You present your build to the cohort and an invited audience
In the room: AI leads, heads of innovation, and investors
Certificate of completion, for employer reimbursement (invoice and course summary provided)
Access to the community
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A cohort of ~10 peers building alongside you, with peer review along the way
Lifetime access to the LegalQuants community after you finish
LQBrain, LQDigest, and the WhatsApp group: the community’s knowledge layer
An all-in-one learning platform
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Your Mirror self-assessment and the curated reading list
The Foundation Tapes podcast and live Office Hours (recorded)
Every cohort build, all in one logged-in home, yours after the residency ends
The proof
And here’s what they actually shipped.
Case studies
Cohort 1: Day 0 to Day 14.
Cohort 1 did this in two weeks; the residency now gives you four. A selection of what they built. Every one started where you’re sitting now.
Joey Strength 🇺🇸
Partner, Real Estate
Day 0
Figured he'd have to hire an engineer. He hadn't used a MacBook in 25 years and was brand new to Claude Code and the terminal.
Day 14
Now he ships his own software. His line went from “I need to find an engineer” to “I've got 40.”
“I could not do this three weeks ago.”
Title work that took ~3 hours now runs in ~20 minutes (his estimate).
DSARDetection engineGillie Abbotts-Jones’s build
Gillie Abbotts-Jones 🇬🇧
Senior Legal Director, AI & Data Privacy
Day 0
Had never opened a terminal.
Day 14
Two weeks later she'd built a working DSAR detection engine herself, from a standing start, proven on synthetic data.
“I feel like I'm down a highway on the moon. Just endless.”
On a blind 500-doc synthetic test, her deterministic core hit 98.4% precision and 83% recall, beating the AI-adjudicated path. Never run on real personal data.
Kenny Tam 🇭🇰
Senior Associate, Technology
Day 0
Rated himself 4–5/10 and kept apologising about tech on day one.
Day 14
Now he directs an AI agent end-to-end through a full build. The apologies have stopped.
“I think I'm learning a lot more than I did in the past year of law.”
Demoed end-to-end on synthetic fixtures; by the end he was directing his agent by remote control “from the couch.”
MageAlexis Werth’s build
Alexis Werth 🇺🇸
Senior Corporate Counsel
Day 0
By her own account, she'd always struggled to close out a first version.
Day 14
She shipped a framework the whole cohort can build their own “second brain” from, and found her feet as a builder.
“It has fundamentally changed who I am as a person. And it's been 14 days.”
A local fail-closed privacy gate that already caught one real would-be leak. The framework ships structure only, never her data.
Peter Scripps 🇺🇸
Senior Privacy Counsel
Day 0
Had only ever built inside a chat window.
Day 14
Now he deploys his own apps. He built and deployed Arcus, a regulatory-enforcement signals tracker, on Firebase.
“I just built a front end I really like, in two days. That's insane.”
Built entirely on public agency enforcement records.
Sean Galvin 🇺🇸
Senior Associate, Litigation
Day 0
Already had an AI workflow for drafting discovery objections, but it ran in a chat window, and he didn't yet think of himself as a builder.
Day 14
Two weeks later it's a structured app with real guardrails — the AI only picks from approved objections, never invents one — and it's ready to serve as the backend for a Teams bot a whole team can use.
“My CLAUDE.md was 20,000 lines. Claude Code literally told me to cut it back. The fix was about 200.”
Demonstrated on synthetic data, under attorney supervision.
confidential-aiTamur Shah’s build
Tamur Shah 🇨🇦
Managing Partner
Day 0
Stuck on the one problem he most needed solved: safely putting AI on privileged files.
Day 14
Now he runs a privacy firewall he built himself. He can put a top model on confidential matters and trust what comes back.
“As long as you have the right tools, and the mentorship we got here, it helps you understand what we're capable of making.”
Proven end-to-end on a synthetic 555-document corpus; hardened through a mentor security review. Not yet run on real client data.
1 / 7
Repos stay in the cohort; builds run on synthetic or public data. Nothing’s public unless the resident says so.
Want to hear it straight from someone who did it? Ask Jamie for an intro to a Cohort 1 resident.
II · The mentors
Ten Legal Quants. One job: change how you work.
A mentor’s job is not to lecture. It’s to make a work pattern legible, and to be there for the questions that get harder to ask the further you climb.
Most lawyers bolt AI onto the way they already work. The harder, more valuable move is rebuilding the work around it: your own tools in Claude Code, agents that run while you’re doing something else, processes you’ll actually keep using.
Use · old pattern
ChatGPT · Copilot
“Summarise this contract for tomorrow’s review.”
Ask anything…
Receive task.
Open ChatGPT.
Paste in. Read out.
Copy back. Re-format.
Next matter, start from scratch.
Leverage · new pattern
~/contracts
$claude code --skill clause-review
$agent run --watch ./inbox/
$cron "0 6 * * *" review.py
✓ mcp-server live · 47 contracts queued
Receive task.
Map the workflow.
Reach for Claude Code, agents, scripts.
Build a reusable process.
Keep the capability. Improve it next time.
IV · The deliverable
One of these, shaped to your practice.
The artefact you leave with is the visible trace of the shift. The shift itself is the product.
$ claude code --skill nda-review
reading 28 pages…
flagging risks…
cross-referencing house standard…
✓ review-2026-05.md
A workflow
A repeatable Claude Code process for a matter you handle weekly: clause review, redline pass, first-pass diligence, regulation tracker.
┌─ INTERNAL · CLAUSE COMPARE ─┐
│ │
│ ⌘ drop NDA file │
│ ⌘ select house standard │
│ [ COMPARE → ] │
└─────────────────────────────┘
A tool
A custom project management dashboard. A web crawler. A Slack bot. An email agent. A contract-review assistant. Internal apps your team can actually use.
Running an agent autonomously for 5–7 hours. Standing up an MCP endpoint. Configuring your own OpenClaw or NanoClaw. A repeatable move you can demonstrate live.
A new way of working: the practice itself, redesigned. Monitor stock prices for unusual drops, dispatch an agent to scan SEC filings and news for fraud indicators, auto-draft Statements of Claim for potential plaintiffs.
V · The four weeks
How it runs.
Week 1 · Ramp-up · July 2026
MonTueWedThuFriSatSun
6MonThe MirrorSelf-assessment · do this first, before we meet
30ThuWebinar · Local modelsRun AI on your own hardware: engine not a brain, hybrid not all-local
31FriSubmitRepo · demo · writeup
1SatPeer reviewPaired in-cohort (Aug 1)
2SunDemo Day10 min each + live Q&A (Aug 2)
13·15·17Mon Wed Fri
Mentor 1:1s
60 min each
14Tue
Webinar · Judgment
Picking the right problem
16Thu
Webinar · Judgment pt 2
Own your data + verify AI output
18–19Sat – Sun
Weekend
20·22·24Mon Wed Fri
Mentor 1:1s
60 min each
21Tue
Webinar · Craft pt 1
CLAUDE.md, Skills, Hooks, Plugins
23Thu
Webinar · Craft pt 2
Pipelines, QA, shipping well
25–26Sat – Sun
Weekend
27·29Mon Wed
Mentor 1:1s
60 min each
28Tue
Webinar · Career & sustaining
Compounding, permissionless building, burnout
30Thu
Webinar · Local models
AI on your own hardware
31Fri
Submit
Repo · demo · writeup
1 AugSat
Peer review
Paired in-cohort
2 AugSun
Demo Day
10 min each + live Q&A
After
From Aug 3
Alumni community
Slack + platform, playbooks and the LegalQuants community · for life
The platform
Your work, all in one place.
Your self-assessment, the curated library, the Foundation Tapes, the recorded office hours, and every build the cohort ships. One logged-in home, yours to keep after the residency ends. The day-to-day conversation happens in Slack.
The MirrorSelf-assessment: where you actually stand before you start
The LibraryCurated reading, ranked to your brief
The Foundation TapesA nine-part podcast on the craft
The BuildsEvery cohort build: demo and walkthrough
Office HoursEvery group call, recorded: the whole mentor bench, on tap
The SlackWhere the cohort actually talks, every day: progress, wins, and stuck-points
Ten mentors out front. The community behind them is the goldmine.
Lawyers from AmLaw100, Magic Circle, and Fortune 500 in-house teams. One chat community, hundreds of messages a week, some of the most AI-native lawyers anywhere. When you join the cohort, you’re in. After the residency, your stuck point is usually someone else’s solved problem.
Not a Slack group that never meets. Legal Quants gather in person, from San Francisco to Tokyo.
Jordan BryanDipti SharmaJoshua WongStephanie NwekeKevin KellerLien Tran
VIII · The price
$5,250
Cohort 3 tuition, all in. Reserve your seat now with a $500(USD) deposit · credited in full toward tuition · transferable to a later cohort.
All in. No upsells. Everything above is included: mentor, live teaching, the platform, and the community. Employer reimbursement and corporate sponsorship available, with invoice, course summary, and certificate of completion provided.
Reserve your seat in Cohort 3 (September) with a deposit — credited in full toward tuition, transferable to a later cohort.
Not ready to commit? Join the waitlist:
IX · Questions people ask
I've never opened a terminal. Is this still for me?
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Yes. That's the most common starting point, not a disqualifier. Several of Cohort 1's strongest builds came from lawyers who, two weeks earlier, didn't know what the terminal was (one bought a second-hand MacBook to start). The Claude-era stack is built for non-coders, and your mentor calibrates to exactly where you are. The bar is judgement, not engineering.
I don't have a build idea yet. Is that a problem?
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No. Picking what to build is half the work, and the first week is partly for finding it with your mentor. A good test: the thing you'd use yourself, daily. If you wouldn't, neither would anyone else. You don't need an app, either; a workflow, a document pipeline, a monitoring routine, or just a repeatable capability all count.
Almost everything I touch is confidential. Can I even take part?
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Yes, and it's designed around exactly this. You build on your own machine, your own plan, and on de-identified or public material. Cohort 1 used synthetic data, public filings, public title records, and the like. Nothing confidential goes near a model or a public repo. Your mentor never needs to see anything privileged. The judgement transfers even when the data can't leave your laptop.
Is this an audition? What happens after the four weeks?
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It's educational, not an audition. LegalQuants isn't a studio or a VC, the residency isn't a tryout for a job, and we claim no IP in what you build. It's yours, on your own terms, and it travels with you. What you keep afterwards is the build, the habit, alumni access to the community, and the platform for life.
How is this different from your free hackathons, or an online course?
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A hackathon is a day and a course is a video. This is a mentor beside you, most days, for four weeks: watching your actual screen, scoping with you, and getting you to a shipped thing you can prove. The hackathons are where many people meet us; the residency is where the capability actually takes hold.
Do I need to know how to code?
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No. The goal isn't software engineering. It's scoping, building, and verifying AI-enabled legal work. The point is your judgement encoded in a tool, not lines of code. Your mentor handles the rest.
What's the time commitment really?
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Two to three hours a day, more if you go deep. The fixed live points are two webinars a week (Tue/Thu) and a 60-minute mentor 1:1 every other day (Mon/Wed/Fri). Everything else is async, on your own time.
What are the webinars about?
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Six sessions across the build weeks, taught by the whole mentor bench: Judgment (picking the right problem; owning your data and verifying AI output), Craft (CLAUDE.md, Skills, Hooks, Plugins; then pipelines, QA and shipping well), Career & sustaining, and Local models (running AI on your own hardware). All recorded for other timezones.
I'm not in the US or UK. Does this work for my timezone?
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Cohort 1 ran across timezones from the US West Coast to New Zealand; some calls landed at 1am. Webinars run at a fixed slot and are all recorded, so you never lose the content, and your mentor works asynchronously through your private channel, so you're never blocked waiting.
What if my organization doesn't allow public posting?
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Most lawyers we see have publication restrictions, so nothing is public by default. Your build stays internal, the Demo Day recording is cohort-gated, and peer review stays inside the cohort. You decide what, if anything, ever leaves the room.
How does the deposit work?
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The residency is $5,250 all in. A $500 deposit reserves your Cohort 3 (September) seat — credited in full toward tuition and transferable to a later cohort if September doesn't suit.
Can my employer pay or reimburse this?
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Yes. We provide an invoice, a course summary, and a certificate of completion for corporate sponsorship or reimbursement. For a whole team, use the corporate door above to scope a private cohort.
What's the refund policy?
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Two paths. You cancel: 50% refund up to 29 June 2026; after that, no refund except force majeure. Or we review your enrolment within 48 hours of payment and decide it isn't the right fit: full refund, no reason required.
Cohort 2 is closed. Reserve your Cohort 3 seat.
Your deposit is credited in full toward tuition and transferable to a later cohort.