A
AI Output Contract Clause Review
4.05
Derivation Chain
Step 1
Surge in value of human-made work amid AI flood
→
Step 2
AI/human-made distinction becomes a contractual condition
→
Step 3
Automated review service for AI output contract clauses
Problem
Marketing agencies and content studios (5–30 employees) face a surge in contract clauses that must specify AI usage scope, copyright ownership, and secondary processing rights when signing delivery contracts with clients. Without a legal team, they either pay 300,000–500,000 KRW per transaction (approx. $225–$375) for external legal advice or are exposed to post-disputes due to ambiguous clauses, incurring unnecessary costs of 2–5 million KRW annually (approx. $1,500–$3,750).
Solution
Upload a delivery contract, and the system automatically identifies AI-related clauses (copyright ownership, AI usage disclosure obligations, secondary work rights), compares them against industry-standard clause templates, and highlights risk factors. It also provides revision suggestions and links to industry-specific case law.
NUMR-V Scores
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 (73%)
Data Availability
23.3/25
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 (58/100)
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]
AI/ML [medium]
Frontend [low]