B

Judge & Prosecutor Disciplinary Record Lookup Service

2.85

Derivation Chain

Step 1 Judicial misconduct law passed by National Assembly
Step 2 Growing demand for judiciary transparency
Step 3 Structured public record lookup service for judges and prosecutors

Problem

With the enactment of the judicial misconduct law, citizens, media, and legal professionals want to verify judges' and prosecutors' past ruling tendencies, disciplinary records, and position transfers. However, this information is scattered across government gazettes, Supreme Court personnel announcements, and National Assembly transcripts, taking days to compile. A single reporter spends an average of 3–5 hours researching one judge.

Solution

Integrates crawling of government gazettes, Supreme Court personnel appointments, National Assembly transcripts, and court rulings to structure each judge's and prosecutor's career timeline (appointment → position → ruling tendencies → disciplinary actions), with search, filter, and comparison features.

Target: Legal beat reporters (~200 nationwide), civic organization policy researchers, criminal defense attorneys
Revenue Model: Basic search free + Detailed profile (including ruling tendency analysis) $37/month per account. Media/law firm group plan $149/month (5 accounts)
Ecosystem Role: Infrastructure
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
3.0/5
U Urgency
3.0/5
M Market
2.0/5
R Realizability
3.0/5
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
9.4/20
Timing
18.0/20
Revenue Signals
7.5/15
Pick-Axe Fit
10.5/15
Solo Buildability
3.0/10
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] Backend [medium] Frontend [low]
Dashboard