How it works
It works like a manager who has time to read everyone's work.
Four steps, mostly in the background. Week one is observation; by day seven every employee has a course built from their own work. Then it refreshes every month.
The previews below are illustrative designs — the product launches soon.
Step 01 · Week 1 · Days 1–7
Observe
One week. No surveillance.
For the first week, each staff member spends about two minutes a day on a check-in and uploads a few real work documents — a letter, a workpaper, an email thread. That's the whole footprint. There is no screen recording, no keystroke logging, no always-on monitoring. The AI learns your team's work from the work itself, the way a good manager would if they had time to read everything.
- Two-minute daily check-in per person
- A handful of real work samples, uploaded by the employee
- No screen recording, keystroke logging, or background monitoring
What did you spend the most time on today?
What felt slower than it should have?
Attach a sample (optional)
Step 02 · Week 1 · Day 7
Analyze
Where the hours actually go.
Once it has a week of real work, the AI builds a skill profile for each employee: what they're strong at, where they're slow, and which repeated tasks are quietly eating hours. It's specific — not 'improve writing' but 'engagement letters are rewritten from scratch each time; a template plus AI drafting would save ~3 hrs/week.' Managers see the same picture their gut already suspected, now measured.
- A per-employee skill profile with scored competencies
- Repeated inefficiencies flagged with estimated hours lost
- Tasks ranked by how much time they're costing the firm
Engagement letters
Rewritten from scratch each time
Document formatting
Manual, no template
Intake → memo
Retyped by hand
Step 03 · Day 7 · Courses ready
Generate
A course built from their own work.
This is the part generic training can't do. Instead of a stock 'Intro to AI' video, each employee gets a course built from their own files: the exact documents they draft, the tasks they repeat, the tools that would help most. A paralegal learns to draft their firm's engagement letters faster; an associate learns to turn their own call notes into client updates. Because it's their work, it sticks.
- A unique curriculum per employee, not one shared course
- Lessons written around the documents and tasks they actually handle
- Practical exercises using their real (redacted) work as the example
Faster engagement letters, built on your files
4 lessons · ~40 min · auto-generated
- 01Setting up an engagement-letter template you'll actually reuse
- 02Drafting the first version with AI — and what to never paste in
- 03Formatting in one pass instead of five
- 04Practice: your own last three letters, redone in half the time
Step 04 · Ongoing · Monthly refresh
Track
Progress you can see and defend.
Managers get a dashboard showing skill scores per employee, course progress, and hours recovered across the team. As people improve, the AI regenerates their courses each month to target the next gap — so training never goes stale and never stops mattering. When a new hire starts, they get their own curriculum from week one instead of shadowing whoever's least busy.
- Skill scores and progress for every employee, in one view
- Hours-recovered tracking you can put in front of partners
- Courses regenerate monthly to target the next skill gap
Hours recovered
41/wk
Avg skill score
83
Early access
Want to watch it run on real data?
Join a live demo, or get early access as a founding customer — 50% off for 12 months, limited to 10 Capital Region firms.