All case studies
Case 05AI-Native Transformation8 weeks

Startup counsel practice

A generalist counsel practice serving early-stage founders, buried in near-identical incorporation, cap-table, and SAFE-note matters priced by the hour despite being highly repeatable.

Matter templatesIntake automationEvidence anchoring

Practice

Singapore · Solo + 1

Transformation

8 weeks

Track

AI-Native Transformation

Primitives moved

Matter, Time, Evidence

01The challenge

The challenge

Founders expected startup-speed turnaround from a practice still running on hourly engagement letters and manual document assembly, and the lawyer was routinely working weekends just to keep pace with intake.

02Primitives most affected

Primitives most affected

The MATTER primitives this engagement actually moved. Each links to what it means.

03The transformation, phase by phase

The transformation, phase by phase

  1. Phase 01

    Name

    We identified four repeatable matter types (incorporation, SAFE note, ESOP setup, cap-table cleanup) that together made up 80% of volume, each with its own container and required fields.

  2. Phase 02

    Systematise

    Each matter type got a fixed price, a standard document set, and an automated intake form that opens the matter and starts the checklist without a call.

  3. Phase 03

    Automate

    An intake agent runs conflict checks and generates the engagement letter same-day; a drafting agent assembles first-draft documents from the client's form answers, anchored to the correct template clause by clause.

04The shift to AI-native

The shift to AI-native

This is the clearest single-page illustration of what the manifesto calls the client experience marker: intake automated end-to-end, the firm meeting clients where they already are - a form, not a phone call - and same-day turnaround as a byproduct of architecture rather than heroic effort. A generalist counsel practice serving startups is, structurally, exactly the shape of firm the manifesto predicts will move fastest: high matter-type repetition, a client base that already expects software-speed service, and a single decision-maker who could commit to fixed pricing without a partnership vote. The founder didn't adopt an AI tool. The practice adopted a different relationship between intake, pricing, and delivery, and AI simply runs inside it.

AI-native markers this firm now meets

  • Pricing is transparent, not hourly
  • Intake is automated end-to-end
  • The firm meets clients where they already are
  • Turnaround is fast, often same-day
Read the manifesto this case study argues for
05Outcome

Outcome

Time to engagement

1 week → same day

Matters / month

8 → 22

Weekend hours

−90%

Founders now get a same-day quote and a same-week close on the routine work. The practice finally scales without me working every Saturday.
Book a call