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README.md

@@ -26,6 +26,8 @@ A heterogeneous knowledge graph extracted from 4,059 court decisions of the **Co
 
 This is the **graph companion** to the tabular [OHADA-CCJA Court Decisions Corpus](https://huggingface.co/datasets/Maathis-com/ohada-ccja-corpus). The tabular dataset provides the raw text and metadata; this dataset provides the extracted relational structure for graph ML research.
 
+![OHADA-CCJA Legal Knowledge Graph — sample subgraph showing court decisions (purple), OHADA member states (orange), and legal domains (teal) with citation, geographic, and classification edges](graph_preview.png)
+
 ### Why a Graph?
 
 Legal reasoning is inherently relational. Courts cite prior decisions, apply specific legal articles, and resolve disputes between named parties under particular branches of law. These relationships are invisible in a flat tabular format but become first-class features in a graph. This dataset makes them explicit, enabling research at the intersection of legal NLP and graph machine learning — a combination that has received almost no attention for African legal systems.