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Case 04AI-Native Transformation9 weeks

Property law micro-firm

A three-lawyer firm where each partner ran their matters their own way. We extracted the shared action library and defined doer/reviewer roles per action - the firm ran the same playbook by the sixth week.

Action libraryPlaybook extractionReviewer roles

Practice

India · 3 lawyers

Transformation

9 weeks

Track

AI-Native Transformation

Primitives moved

Actions, Team

01The challenge

The challenge

New associates took three months to become independently useful, because each of the three partners handled the same matter type differently, with no shared reference for what 'done right' looked like at each step.

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 shadowed all three partners on their most common matter type and found roughly 70% of the sequence was identical across all three, despite each believing their approach was distinct.

  2. Phase 02

    Systematise

    The shared 70% became one named action library with an explicit doer and reviewer for each step; the remaining partner-specific 30% stayed flexible by design.

  3. Phase 03

    Automate

    New associates now onboard against the written library instead of shadowing a partner for a quarter; agents handle first drafts on the fully standardised actions only.

04The shift to AI-native

The shift to AI-native

The manifesto's governance model for safe AI use is a sentence: name the doer, name the reviewer, name the decider, for every action. This firm couldn't say that sentence about its own three partners before the engagement, let alone about a machine. Once the shared 70% of the work was named and given an explicit doer and reviewer, delegating the standardised slice to an agent was a modest step rather than a leap of faith - the delegation structure for humans became the delegation structure for AI, unchanged. Three partners with no committee to convene could agree to this in a single working session, which is exactly the decision speed the manifesto argues BigLaw structurally cannot match.

AI-native markers this firm now meets

  • AI runs first, on every matter, systematically
  • The firm gets measurably better over time
  • Technical capability sits inside the firm
Read the manifesto this case study argues for
05Outcome

Outcome

Onboarding time

3 mo → 2 wks

Handoff failures

−88%

Concurrent matters

+2.4×

The firm didn't feel rebuilt from outside. It felt like we'd finally written down what we already half-knew.
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