Summary
Bloomberg Tax reported that AI is becoming a practical litigation tool inside the ERISA bar rather than just a drafting shortcut. Plaintiff-side lawyers are using it to scan plan data, spot anomalies, and identify potential claims, while defense-side lawyers are using it to benchmark fees and performance, review plan documents, and prepare defenses more quickly. The story is useful because it shows a live specialty practice where AI is already shaping case selection, deposition prep, and litigation economics, even as lawyers warn that hallucinations and hindsight bias can create new risk.
Why It Matters
This is a strong direct legal workflow story because it shows AI moving into a document-heavy, data-heavy practice area with clear adversarial consequences.
- plaintiff-side lawyers are using AI to identify outliers in plan data and surface likely claim targets
- defense-side lawyers are using AI to benchmark investment options, compare fees, and build motion-to-dismiss defenses faster
- lawyers are also using AI for large-volume document review, summaries, and deposition preparation
- the piece highlights a new legal risk: AI can make hindsight attacks on fiduciary process easier and cheaper
What the Source Says
Bloomberg Tax says attorneys in employee-benefits litigation are increasingly using AI to crunch data, review plan documents, and identify possible claims. The article reports that plaintiff-side lawyers use AI to scan ERISA-covered plans for outliers involving investment choices and forfeiture funds, while defense attorneys use it to benchmark fees and performance across investment menus. It cites Darrow's analysis of more than 200,000 plan sponsors, 60,000 retirement funds, and more than $6 trillion in plan assets. It also reports that lawyers are using AI to summarize large document sets, prepare for depositions, and even generate copycat complaints or targeted motion defenses by identifying which recent cases survived early dismissal.