Policy changes affecting LGBTQ+ people happen constantly and scattered across government websites, advocacy organizations, and legal databases—making it difficult to track what's actually changed. AI trained to extract and categorize policy mentions helps you catch updates relevant to your situation before they affect your life.
Named entity recognition (NER) is an AI natural language processing technique that automatically identifies and categorizes key elements in text, such as locations, organizations, dates, and legal terms, making it possible to systematically monitor legislative and policy documents for LGBTQ+-relevant content.
By applying NER to bill trackers, news feeds, and government databases, LGBTQ+ advocates and individuals can use AI to surface actionable policy changes across multiple states without manually reading thousands of documents.
Peri can explain this concept, give practical examples, help you decide whether it applies to your situation, or recommend a journey if appropriate.
Explore related journeys or tell Peri what you're working through.