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AI Solutions Architect & Product Integrator (6-Month Contract)RIDER Litigation Finance.About RIDERRIDER is a global, tech-enabled dealmaking platform connecting claimholders, law firms, and investors to structure and fund meritorious litigation and arbitration cases through non-recourse capital. Our operations are primarily outbound, driven by a digital sourcing engine designed to identify, filter, and match high-value legal claims with the right capital providers.We’ve developed two proprietary software applications (JavaScript + SQL Server), integrated with a suite of tools including HubSpot, Doppler, ZeroBounce, Mailchimp, ComplyCube, Twilio, Apollo, ATOM, SalesCloser.ai, and various court and legal databases. The goal is to transform these tools into an intelligent, AI-powered funnel that brings only the most promising litigation opportunities to our dealmakers’ attention.Why This RoleWe are seeking a highly capable AI Solutions Architect & Product Integrator for an initial 6-month contract (with potential extension) to lead two strategic objectives:1. Funnel Integration & OptimizationIntegrate and streamline our entire funnel creation and management system — unifying sourcing, qualification, filtering, and pipeline tracking across platforms into a seamless, smart workflow that enhances speed, accuracy, and decision-making.2. AI-Driven Litigation Sourcing ExpansionDesign or integrate tools to scrape, extract, and structure information about potential or ongoing litigation from a wide array of sources. This includes:Judicial and Government Databases: Federal & State court portals (e.g., PACER, CM/ECF, CIEL) International arbitration centers (ICSID, ICC, LCIA, PCA, SIAC, CAM, etc.) Official government gazettes and registries Regulatory bodies (SEC, CNBV, CVM, etc.)News & Media Monitoring: Legal outlets: Law360, Bloomberg Law, Reuters Legal Business media: FT, WSJ, CNBC, LexisNexis Newsdesk, Factiva Regional sources: Latin Lawyer, ConJur, El Economista, Diario FinancieroStock Market & Financial Disclosures: Filings like 10-K, 8-K, DEF14A, SEDAR+, CNBV bulletins Earnings call transcripts and investor presentationsWhistleblower & Class Action Platforms: ClassAction.org, Top Class Actions, NGO alertsLaw Firm Communications: Blogs, press releases, and litigation updatesArbitration & Mediation Center BulletinsThird-Party APIs & AI Tools (for integration or partnership): CourtListener, Casetext, AlphaSense, Tracxn, Harvey.ai, OpenCorporatesStrategic AI-Driven Litigation Forecasting: Use Cases & SignalsI. Economic & Financial IndicatorsAI-Driven Economic Forecasting Platforms:These platforms use vast datasets of economic indicators (GDP, interest rates, inflation, unemployment, consumer spending, industry-specific metrics) and apply machine learning models to predict recessions, market volatility, and sector-specific downturns.Likely litigation: Recessions/Downturns: Bankruptcy, contract disputes, fraud, debt collection, employment, and securities litigation.• High Interest Rates: Breaches of loan covenants, foreclosures, restructuring disputes.• Inflation: Supply chain and fixed-price contract disputes, price gouging claims.• Market Volatility: Securities class actions due to price drops and alleged misrepresentations.Credit Rating Agencies & Financial Health Monitors (AI-Enhanced):AI analyzes financial statements, debt levels, cash flow, and market sentiment to assess financial stability and default risk.Likely litigation: Bankruptcy, creditor lawsuits, and breach of contract actions due to deteriorating financial health.II. Governmental & Regulatory ShiftsAI-Powered Regulatory Intelligence Platforms:These tools scan legislative databases, regulatory pronouncements, proposed rules, and policy papers to detect changes and enforcement trends.Likely litigation: Non-compliance with new laws (e.g., AI Act, DMA) leads to fines and consumer lawsuits.• Enforcement initiatives raise the risk of investigations, penalties, or criminal charges.• Policy shifts may trigger arbitration or cross-border litigation.AI-Enhanced ESG Risk Platforms:AI monitors ESG compliance, controversies, and activism using corporate reports, news, social media, and supply chain data.Likely litigation: Greenwashing claims, human rights violations, DEI backlash, and climate litigation.III. Industry-Specific Disruptions & InnovationAI-Driven Patent & IP Landscape Analysis Tools:AI maps patent filings and portfolios to detect innovation intensity and risk of infringement.Likely litigation: Patent lawsuits in AI, biotech, and semiconductors.AI-Powered Market Research & Competitor Intelligence:AI tracks product launches, pricing, and marketing to detect competitive risk.Likely litigation: Trade secret theft, false advertising, and antitrust claims.Customer Feedback & Sentiment Analysis AI:NLP identifies dissatisfaction or product issues in social media, reviews, and call logs.Likely litigation: Product liability class actions, fraud suits, and regulatory fines.IV. Internal Corporate SignalsInternal Communication & Document Analysis AI:AI monitors internal communications to detect early signs of compliance failure.Likely litigation: Employment claims, whistleblower actions, and fraud investigations.HR Analytics AI:Analyzes HR metrics like turnover and reviews to flag litigation risk.Likely litigation: Discrimination, harassment, and wrongful termination lawsuits.How AI Connects the DotsAI predicts litigation precursors by:• Correlating economic trends with legal disputes• Detecting anomalies• Recognizing patterns• Analyzing sentiment and networks• Mapping connections between entities and regulations