B

Talent Contract Risk Scanner

3.50

Derivation Chain

Step 1 Expansion of entertainment/talent content
→
Step 2 Increase in talent-production company contract disputes
→
Step 3 Automated detection of unfair contract clauses

Competitor references

No usable source links are available for this idea. Its signal notes and scores need independent verification.

Problem

New talent and creators signing with small production companies or MCNs fail to identify unfair contract clauses (excessive exclusivity periods, one-sided termination conditions, unshared derivative work revenue), leading to disputes that average 6 months to 1 year of Legal battles and 5,000,000-20,000,000 KRW (~$3,750-$15,000) in Legal fees. Attorney consultations cost 300,000-500,000 KRW (~$225-$375) per session, which is prohibitive for early-stage creators, and self-comparing against standard contracts is difficult.

Solution

(1) Upload contract PDF/image for automatic OCR + LLM clause-by-clause risk grading (Safe/Caution/Danger), (2) Highlight differences compared to Fair Trade Commission standard contracts, (3) Generate suggested revision language and negotiation points for flagged clauses.

Target: New creators signing with MCNs or production companies (ages 20-30), small talent agencies (3-10 employees), Freelancer on-screen talent
Revenue Model: Single contract analysis at 19,000 KRW (~$14), Monthly Subscription at 49,000 KRW/month (~$37, includes 5 contracts), MCN/agency plan at 149,000 KRW/month (~$112, unlimited)
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.
N=.15 U=.20 M=.15 R=.30 V=.20

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/ 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

AI/ML [medium] Backend [low] Frontend [medium]
Dashboard