Evidence requires specificity—vague references to "conversations" or "feedback" can be disputed or reframed in disputes. Named entity recognition ensures that all key elements (who, what, when) are tagged and trackable, making it harder for anyone to later claim ambiguity about what was documented.
Named entity recognition, or NER, is an AI technique that automatically identifies and tags specific people, dates, locations, job titles, and policy names within large blocks of workplace text, making it easier to organize evidence without reading every document manually.
When building a case against retaliation or discrimination, NER tools help you quickly surface which individuals appear most often in problematic communications and which specific incidents cluster around key dates, giving your documentation more precision and credibility.
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