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Beware the token trap: Why saving on inference might put your ADLC at risk
Cutting inference costs by reducing tokens may seem efficient, but it can compromise AI-driven legal or compliance (ADLC) systems by stripping context needed for accurate outputs. Incomplete prompts increase error risk, potentially triggering regulatory violations or flawed decisions. Organizations must weigh token savings against the liability and operational costs of getting those outputs wrong.