211 place 3

345 When accurate AI is still dangerously incomplete

VentureBeat
VentureBeat 3 place · 02/18/2026 11:00 EDT

Typically, when building, training and deploying AI, enterprises prioritize accuracy. And that, no doubt, is important; but in highly complex, nuanced industries like law, accuracy alone isn’t enough. Higher stakes mean higher standards: Models outputs must be assessed for relevancy, authority, citation accuracy and hallucination rates. To tackle this immense task, LexisNexis has evolved beyond standard retrieval-augmented generation (RAG) to graph RAG and agentic graphs; it has also built out "planner" and

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