B

Legislative Risk Early Warning Service

3.50

Derivation Chain

Step 1 Accelerating legislative reform including the Judicial Reform Bills
Step 2 Growing uncertainty around how legal changes affect business operations
Step 3 Automated legislative impact analysis service for corporate legal teams

Problem

Legal teams at SMEs (50-200 employees) spend 5-10 hours per week tracking how proposed bills and judicial system changes affect their business. During major institutional reforms like the Judicial Reform Bills, 20-30 related bills are introduced simultaneously, making tracking impossible. Missed risks expose companies to regulatory violation fines ranging from millions to tens of millions of won (~$3,750-$37,500).

Solution

Collects proposed bills in real-time from the National Assembly's legislative information system, matches them against user-configured industry categories and keywords, and uses an LLM to summarize each bill's potential business impact. Classifies risk as high/medium/low and delivers recommended action items via Slack or email.

Target: Legal affairs staff at IT and fintech companies with 50-200 employees, Startup founders
Revenue Model: SaaS Monthly Subscription at 79,000 won (~$59)/organization (10 keywords), Premium Plan at 149,000 won (~$112)/month (unlimited keywords + detailed impact analysis Report)
Ecosystem Role: Regulation
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
3.0/5
U Urgency
4.0/5
M Market
3.0/5
R Realizability
4.0/5
V Validation
3.0/5
NUMR-V Scoring System
N Novelty1-5How uncommon the service is in market context.
U Urgency1-5How urgently users need this problem solved now.
M Market1-5Market size and growth potential from proxy indicators.
R Realizability1-5Buildability for a small team with realistic constraints.
V Validation1-5Validation 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 (70%)

Tech Complexity
29.3/40
Data Availability
20.4/25
MVP Timeline
20.0/20
API Bonus
0.0/15
Feasibility Breakdown
Tech Complexity/ 40Difficulty of core implementation stack.
Data Availability/ 25Practical availability and cost of required data.
MVP Timeline/ 20Expected time to ship a usable MVP.
API Bonus/ 15Bonus for viable public API leverage.

Market Validation (56/100)

Competition
8.0/20
Market Demand
6.2/20
Timing
14.0/20
Revenue Signals
10.5/15
Pick-Axe Fit
10.5/15
Solo Buildability
7.0/10
Validation Breakdown
Competition/ 20Signal quality from competitor landscape.
Market Demand/ 20Demand proxies from search and mention patterns.
Timing/ 20Fit with current shifts in tech, behavior, and regulation.
Revenue Signals/ 15Reference evidence for monetization viability.
Pick-Axe Fit/ 15How well the concept serves participants in a trend.
Solo Buildability/ 10Practicality for lean-team implementation.

Technical Requirements

Data Pipeline [medium] AI/ML [medium] Backend [low]
Dashboard