Since the enactment of the Judicial Misconduct Act (법왜곡죄), attorneys and law firms must manually search for relevant precedents and sentencing guidelines to prove or defend against claims of judicial misconduct by judges and prosecutors. Searching for similar precedents takes an average of 4-8 hours per case, and since this is a newly established law, existing case databases lack proper classification systems, creating a high risk of missing relevant cases.
Solution
Automatically crawls and structures court ruling texts, tagging them by judicial misconduct elements (abuse of discretion, factual misapprehension, misinterpretation of law), and provides similar case search, sentencing deviation visualization, and defense argument draft generation.
Target: Criminal law attorneys with less than 5 years of practice, attorneys at small-to-mid-sized law firms with 5-20 staff
Revenue Model: SaaS Monthly Subscription at 99,000 KRW (~$74)/account, 20% discount for annual billing. Additional case Report at 19,000 KRW (~$14) Per Transaction
Ecosystem Role: Supplier
MVP Estimate: 2_weeks
NUMR-V Scores
N Novelty
4.0/5
U Urgency
4.0/5
M Market
3.0/5
R Realizability
3.0/5
V Validation
5.0/5
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.
N=.15 U=.20 M=.15 R=.30 V=.20
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
/ 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 (75/100)
Competition
10.0/20
Market Demand
19.4/20
Timing
18.0/20
Revenue Signals
10.5/15
Pick-Axe Fit
12.0/15
Solo Buildability
5.0/10
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.