We are building a specialized InsurTech SaaS platform that analyzes insurance litigation data to provide carriers and claims teams with intelligence on plaintiff attorneys, case outcomes, settlement behavior, and litigation patterns. This is NOT a simple app. This is a data-driven analytics platform focused specifically on insurance-related litigation (property, bodily injury, bad faith, etc.). Our goal is to create a dashboard where insurance carriers can: - Search plaintiff attorneys - View insurance-case-only litigation history - Analyze settlement vs trial patterns - See jurisdiction performance (state/county) - Predict litigation risk and claim severity - Track filing frequency and time-to-suit metrics Think: LexisNexis / Premonition style analytics, but purpose-built for insurance claims workflows. Core MVP Features: - Attorney search and profile database - Litigation analytics dashboard (insurance cases only) - Case outcome classification (settled, dismissed, trial, verdict) - Data visualization (charts, heatmaps, trend analytics) - Risk scoring engine (based on historical case behavior) - Secure login (enterprise SaaS architecture) - API-ready backend for future claims system integrations (Guidewire, Duck Creek, etc.) Data Sources (to be discussed): - Public court records (state & federal) - Insurance litigation datasets - Docket scraping / legal data APIs - Structured data normalization across jurisdictions Tech Stack Preference (Open to Recommendations): - Frontend: React / Next.js - Backend: Python (FastAPI) or Node.js - Database: PostgreSQL + Elasticsearch (or similar) - Cloud: AWS / GCP / Azure - AI/Analytics Layer: Python, ML models (Phase 2) Ideal Developer/Team Experience: - SaaS analytics platforms - Legal tech OR insurtech (highly preferred) - Large dataset ingestion & normalization - Web scraping / data pipelines - Dashboard UI/UX for enterprise users - Scalable architecture design (not MVP shortcuts) Project Scope: Phase 1: MVP Build (Analytics Dashboard + Core Data Engine) Phase 2: Predictive Risk Scoring & AI Insights Phase 3: Enterprise integrations & scaling Budget: Flexible based on expertise (serious proposals only). We are prioritizing quality, scalability, and long-term partnership over cheap development. About Us: We operate in the insurance and claims ecosystem and are building multiple compliance and analytics SaaS tools for the industry. This platform is intended for enterprise insurance carriers, TPAs, and litigation teams. To Apply, Please Include: 1. Relevant SaaS or analytics platforms you’ve built 2. Experience with large datasets or legal/insurance data 3. Recommended tech architecture for this product 4. Estimated timeline for MVP (realistic, not generic) 5. Whether you are an individual developer or agency Bonus (Not Required but Valuable): - Experience with court data, PACER, or legal analytics - AI/ML predictive modeling experience - Enterprise SaaS security experience (SOC2-ready architecture) We are looking for a long-term technical partner, not a one-off freelancer.