Legal AI Adoption ROI Meter

3.30

Derivation Chain

Step 1 Legal tech AI becoming a core partner

→

Step 2 Accelerating AI adoption in law firms

→

Step 3 Pre- and post-AI adoption efficiency measurement tool

Problem

When small-to-mid-sized law firms (under 50 attorneys) consider adopting legal AI tools (case law search, contract review, complaint drafting, etc.), they have no way to predict or measure actual time savings and caseload increases against subscription costs of 500,000–2,000,000 KRW (~$375–$1,500)/month. As a result, adoption decisions are delayed by 6+ months, or post-adoption churn rates reach 40%.

Solution

Firms simply input time logs by work type (litigation, advisory, registration, etc.) to simulate pre- and post-AI time and cost savings. After adoption, the tool compares actual usage data to generate monthly ROI reports and recommends underutilized features.

Target: Small-to-mid-sized law firms with 3–20 attorneys, office managers or managing partners

Revenue Model: SaaS monthly subscription at 59,000 KRW (~$44)/firm (up to 10 attorneys), 5,000 KRW (~$3.75)/month per additional attorney

Ecosystem Role: Infrastructure

MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty

3.0/5

U Urgency

3.0/5

M Market

3.0/5

R Realizability

4.0/5

V Validation

3.0/5

NUMR-V Scoring System

N Novelty	1-5	How uncommon the service is in market context.
U Urgency	1-5	How urgently users need this problem solved now.
M Market	1-5	Market size and growth potential from proxy indicators.
R Realizability	1-5	Buildability for a small team with realistic constraints.
V Validation	1-5	Validation signal quality from competition and demand data.

SaaS N=.15 U=.20 M=.15 R=.30 V=.20 Senior N=.25 U=.25 M=.05 R=.30 V=.15

Feasibility (72%)

Tech Complexity

29.3/40

Data Availability

23.1/25

MVP Timeline

20.0/20

API Bonus

0.0/15

Feasibility Breakdown

Tech Complexity	/ 40	Difficulty of core implementation stack.
Data Availability	/ 25	Practical availability and cost of required data.
MVP Timeline	/ 20	Expected time to ship a usable MVP.
API Bonus	/ 15	Bonus for viable public API leverage.

Market Validation (50/100)

Competition

8.0/20

Market Demand

6.2/20

Timing

14.0/20

Revenue Signals

7.5/15

Pick-Axe Fit

7.5/15

Solo Buildability

7.0/10

Validation Breakdown

Competition	/ 20	Signal quality from competitor landscape.
Market Demand	/ 20	Demand proxies from search and mention patterns.
Timing	/ 20	Fit with current shifts in tech, behavior, and regulation.
Revenue Signals	/ 15	Reference evidence for monetization viability.
Pick-Axe Fit	/ 15	How well the concept serves participants in a trend.
Solo Buildability	/ 10	Practicality for lean-team implementation.

Technical Requirements

Backend [medium] Frontend [medium] Data Pipeline [low]

Dashboard