Insurance companies, Reinsurance companies, RRGs, Captives and any other “risk taker”, and their Boards face a growing challenge with fighting nuclear verdicts® and the financially crippling overall increase in litigated claims severity.
To mitigate these risks, these organizations require AI-powered litigation analytics that can predict high-risk claims, assess venue and jury predispositions, optimize defense strategies, and accelerate settlement processes to reduce legal expenses.
The decision at hand is whether to build an in-house AI solution or purchase an already developed and proven vendor solution to address these challenges.
We invite you to read this educational eBook to learn more about:
- Key Considerations for Build vs. Buy
- Quantifying the ROI of Building vs. Buying a Solution To Stop Nuclear Verdicts®
- The Future of Nuclear Verdict® Mitigation: Innovations & Strategic Considerations
- Example Step-by-Step Implementation Plan
- How to Measure Success: Key Performance Indicators (KPIs)
- Common Challenges & How To Overcome Them
- Future-Proofing Your Nuclear Verdict® Strategy With AI & Advanced Analytics
- Next Steps for AI Litigation Risk Management
- Real-World Case Studies: Build vs. Buy in Action
- Final Thoughts: When To Build vs. When To Buy