AI Solutions Architect & Product Integrator (6-Month Contract)

RIDER Litigation Finance.

About RIDER

RIDER 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 Role

We 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 & Optimization

Integrate 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 Expansion

Design 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:

News & Media Monitoring:

Stock Market & Financial Disclosures:

Whistleblower & Class Action Platforms:

Law Firm Communications:

Arbitration & Mediation Center Bulletins

Third-Party APIs & AI Tools (for integration or partnership):

Strategic AI-Driven Litigation Forecasting: Use Cases & Signals

I. Economic & Financial Indicators

AI-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:

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:

II. Governmental & Regulatory Shifts

AI-Powered Regulatory Intelligence Platforms:

These tools scan legislative databases, regulatory pronouncements, proposed rules, and policy papers to detect changes and enforcement trends.

Likely 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:

III. Industry-Specific Disruptions & Innovation

AI-Driven Patent & IP Landscape Analysis Tools:

AI maps patent filings and portfolios to detect innovation intensity and risk of infringement.

Likely litigation:

AI-Powered Market Research & Competitor Intelligence:

AI tracks product launches, pricing, and marketing to detect competitive risk.

Likely litigation:

Customer Feedback & Sentiment Analysis AI:

NLP identifies dissatisfaction or product issues in social media, reviews, and call logs.

Likely litigation:

IV. Internal Corporate Signals

Internal Communication & Document Analysis AI:

AI monitors internal communications to detect early signs of compliance failure.

Likely litigation:

HR Analytics AI:

Analyzes HR metrics like turnover and reviews to flag litigation risk.

Likely litigation:

How AI Connects the Dots

AI predicts litigation precursors by:
• Correlating economic trends with legal disputes
• Detecting anomalies
• Recognizing patterns
• Analyzing sentiment and networks
• Mapping connections between entities and regulations