Sentient Scales

Inspired by the recursive narrative of 'Memento' and the societal implications of overwhelming technological advancement in 'Nightfall,' 'Sentient Scales' aims to create a novel 'Usage Statistics' scraper for the legal domain. The project will leverage publicly available legal case data and historical court records, treated like a massive dataset of 'usage statistics' for justice. Our scraper will gather this data, focusing on cases with known controversial outcomes or significant public discourse. The core innovation lies in employing Natural Language Processing (NLP) to analyze the language used in judicial opinions, dissenting arguments, and historical legal commentary. The system will be trained to identify patterns indicative of implicit bias (racial, gender, socio-economic), logical fallacies in argumentation, and deviations from established legal precedent. 'Sentient Scales' will present its findings through interactive visualizations and reports, highlighting potentially flawed reasoning, inconsistencies, and systemic issues within the justice system over time. This niche tool would appeal to legal scholars, historians, investigative journalists, and advocacy groups seeking to understand the evolution and potential inequities within legal frameworks. The implementation is low-cost, relying on open-source NLP libraries and publicly accessible data. Earning potential lies in offering premium analytical reports, consulting services for legal reform organizations, and potentially a subscription-based platform for advanced features and custom analysis.