Beyond Embeddings
​i. The Problem: Two Flavors of Broken Search
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1. The Stone Age (Keyword Search): You search "employment discrimination" and get every document that contains those words.
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2. The Hype Age (Vector Search): An AI system finds "nearby" concepts, returning cases that feel similar but are legally distinct. It’s not just noise—it’s sophisticated, contextually-confused noise.​​​​​​
​​ii. Our Solution: A New Methodology
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TYR doesn't shoot blindly in vector spaces—it traces the structural connections between legal doctrines and your actual case-context.
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It identifies the precise legal framework in your case and follows its doctrinal connections, targeting only the precedents with a direct, logical link.
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iii. The Result: Deterministic Precision
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Other platforms give you thousands of "probably relevant" results. We give you a handful of demonstrably connected ones through reasoning patterns.
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390k +
Reasoning Chains
47
All Member States Covered
100%
Article Framework Coverage

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