A
CodeProvenance Legal Vault
3.50
Derivation Chain
Step 1
Proliferation of AI coding tools
→
Step 2
Copyright and license disputes over AI-generated code
→
Step 3
Legal evidence preservation service for code generation history
Problem
Startups using AI coding tools (3-20 developers) face unclear copyright ownership of AI-generated code and potential open-source license violations, which are flagged as legal risks during fundraising, M&A, or IPO. Retroactively proving the origin of a single line of code can cost tens of thousands of dollars in forensic fees, yet no service exists to proactively structure and preserve generation history.
Solution
An IDE plugin automatically captures prompts, generated code, and edit history each time an AI coding tool is used, storing them as tamper-proof, timestamped logs. Built-in license scanning provides real-time alerts when code with risky licenses (GPL/AGPL) is introduced. One-click generation of code provenance certificates ready for submission to investors or legal teams.
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. |
SaaS N=.15 U=.20 M=.15 R=.30 V=.20
Senior N=.25 U=.25 M=.05 R=.30 V=.15
Feasibility (69%)
Data Availability
19.4/25
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
Frontend [medium]
Backend [medium]
Data Pipeline [low]