Sector Pricing Models
Content-type × use-case × jurisdiction × buyer-tier pricing matrices, built from observed deal data and CourtListener precedents.
Try with sample dataSector pricing models, BATNA analysis, revenue comparators, and litigation-floor estimates. The data layer for AI licensing negotiations.
Content-type × use-case × jurisdiction × buyer-tier pricing matrices, built from observed deal data and CourtListener precedents.
Try with sample dataPer-token, per-article, per-track, per-asset economics with margin breakdowns and sensitivity bands.
Try with sample dataVerifies an AI provider's training-data claims against their actual data footprint. Uses MIA ensemble + provenance bridge.
Try with sample dataMinimum settlement value given evidence tier, jurisdiction, and judge disposition data.
Try with sample dataWhat you're earning vs the market median for comparable catalog and buyer tier.
Try with sample dataWhen to license direct vs through a CMO vs through TDPI marketplace. Cost-of-friction modelled.
Try with sample dataBest-alternative-to-negotiated-agreement scoring for ongoing licensing talks. Updated as the matter evolves.
Try with sample dataLicensing Intelligence subscription with quota-based API access. Volume tiers for enterprise legal and corp-dev teams.
Talk to salesReplaces $200K+ consulting engagements from McKinsey-tier strategy firms. Pricing models built from 1,349 CourtListener cases, AI licensing market research, and 7 sector models. Updated continuously.