Protect your IP: automated contract ownership checks before signing

Many small and midsize businesses, in-house legal teams at growing companies, and engineering or procurement managers regularly sign contractor, vendor, and SaaS agreements that can unintentionally transfer or obscure IP ownership, and they often lack the time or expertise to catch clause-level risks before signing. With roughly 200M SMBs and an estimated $48.0B addressable market (averaging $240/yr on contract and IP protection tools), this is a broad, distributed compliance gap that creates repeated legal exposure and downstream product risk. You could build an automated pre-signature IP ownership checker that uses clause-level NLP to flag transfer or assignment language, quantify risk on a 0–100 scale, propose redlines, and enforce company playbooks via approval gates. The product would parse incoming agreements, surface the specific language that drives the score, and integrate with e-signature and CLM platforms through APIs and webhooks so signing can be blocked or routed to legal when thresholds are exceeded. Complementary features would include audit trails, client-specific policy templates, and a low-code interface so engineering and procurement teams can adopt the tool without constant legal hand-holding. The market is attractive now because advances in AI legal automation materially lower review costs, the expanding gig economy increases the volume of IP-sensitive contractor agreements, and API-enabled e-signatures and CLM solutions make enforcement practical—factors that underpin a market score of 92/100 and revenue potential of 88/100. To stand out in a medium-competition field you must deliver higher clause-level accuracy, jurisdiction-aware legal validation, and tightly coupled enforcement (pre-sign blocks plus developer-friendly APIs); these are realistic strengths but will require heavy annotation work, rigorous legal QA, and careful liability management as adoption scales.