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AI & Data
Aison — Trademark Law in Algorithms
Aison assesses trademark conflicts under European trademark law using algorithms calibrated against real decisions, then drafts the legal correspondence that follows. Delivered through Quantflow for a client in Potsdam, Germany.
Live Demo
PROBLEM & GOAL
Assessing likelihood of confusion between trademarks is expert work repeated case after case — visual, phonetic and conceptual similarity, class overlap, distinctiveness — and every hour of it is billed to someone.
SOLUTION
A front-end where the whole assessment is visible and adjustable: each factor scored and explained, counsel able to override any of it, and the resulting letter drafted from the analysis the lawyer just approved.
KEY FEATURES
- 01Visual, phonetic and conceptual similarity analysis
- 02Goods and services class overlap comparison
- 03Distinctiveness assessment and likelihood-of-confusion score
- 04Automatic drafting of legal correspondence
- 05Transparency panels showing how each score was reached
- 06Brand loader rebuilt as inline vector SVG (flubber interpolation), sharp at any size and theme-aware
RESULTS
- Calibrated against 1,179 EUIPO Board of Appeal decisions
- 839 of 855 similarity cases correctly identified (98%)