How Insurers Can Fight the Ever-Growing ‘Litigation Tax’

Excessive litigation imposes a tax on the U.S. economy, a drag that directly drives up insurance costs. Insurance Journal reports a 150% increase in premiums in one insurance sector alone over the last 10 years, according to Marsh McLennan. While you cannot control courtroom trends like “nuclear verdicts”, you can control the quality of your own claim communications. These are the very documents that often spark initial disputes. The most effective, proactive defense against litigation is to eliminate the preventable errors in claim correspondence that create legal risk in the first place.

A Problem That Can’t Be Ignored

The rising cost of litigation is a challenge that can no longer be overlooked. Across the United States, tort system costs reached over $529 billion in 2022 according to the US Chamber of Commerce, which equals more than $4,200 for every household. These costs are growing at an average annual rate of 7.1 percent, a pace that outstrips both inflation and GDP growth. This trend is fueled by what the industry calls “social inflation,” a rise in claims costs above the general economic inflation rate, driven by factors like growing public mistrust of corporations and aggressive attorney advertising.

This environment has led to a surge in “nuclear verdicts,” which are jury awards that exceed $10 million. The frequency of these massive awards is increasing, with one report noting a record number of verdicts over $100 million in 2023. The median nuclear verdict was $21 million between 2013 and 2022, a figure that puts enormous strain on insurers. This trend is worsened by the growth of third-party litigation funding (TPLF), a practice where outside investors fund lawsuits in exchange for a portion of the settlement. This practice can prolong litigation and discourage reasonable settlements, as investors push for higher payouts. In this high-stakes climate, any internal process that invites legal scrutiny is an unacceptable risk.

Many of these costly legal battles do not begin in a courtroom. They start with a single claims document created under pressure, and poorly crafted claim letters frequently appear as evidence Claim workloads demand efficiency, which leads desk adjusters to find shortcuts to stay on top of their work. To meet targets, both new and experienced adjusters often copy old letters instead of using cumbersome tools. This widespread practice of copying and pasting from old letters is an open secret in the industry.

This process invariably introduces errors. When staff gets used to seeing the same language repeatedly, it becomes easy to overlook a mistake in a zip code, policy type, or other existing detail. These copy and paste leftovers create inconsistencies that can lead to legal review and litigation costs. A simple clerical error gives a plaintiff’s attorney a foothold, transforming a standard claim file into a potential liability.

A New Front in Claims Scrutiny – Consumers and Attorneys Leveraging AI

The pressure on carriers is no longer just internal. Both consumers and their legal representatives are now using artificial intelligence, raising the bar for claim communication and creating a new front in claims scrutiny. Widely available generative AI tools can help a policyholder draft a sophisticated demand letter in minutes, turning a routine claim into a more complex challenge. This means carriers face a higher volume of more polished arguments, even on smaller claims.

At the same time, plaintiff’s law firms are adopting AI to find leverage against insurers. Specialized legal AI platforms can now analyze thousands of pages of documents, including your claim letters and policies, to find inconsistencies and errors more efficiently than ever before. Some AI tools are designed specifically to draft data-driven demand letters that are more persuasive and have a higher chance of resulting in policy-limit payouts. This new reality makes the internal “copy-and-paste” problem even more dangerous. A minor error that may have gone unnoticed in the past is now more likely to be flagged by an AI-assisted review. Your claim communications are being analyzed with unprecedented speed and scale; your defense must be equally sophisticated.

Turning Risk Reduction into Measurable ROI

Improving accuracy in your claim letters translates directly to your bottom line. Fewer errors lead to fewer escalated reviews and legal challenges, which represents a tremendous cost saving for insurers. For one mid-sized property and casualty carrier, even a modest 10% reduction in litigation is expected to produce net savings of $168,250 annually. This is only one part of the financial picture.

Bain and Co suggest that an AI tool like Voltaire can reduce total Loss Adjustment Expense (LAE) by 20-25%. It can also cut claims leakage, which often represents 5-10% of total payouts, by as much as 30-50%. For that same mid-sized carrier, a conservative 5% reduction in leakage would save over $320,000. When combined with projected staff savings, the total annual benefit is substantial. This is how Voltaire delivers a first-year return on investment (ROI) of over 200%. An investment in this technology is not an operational expense; it is a direct investment in a more resilient and defensible claim process.

For more, read this carrier case study.

The dual threats of a litigious environment and AI-powered claimants create a new level of risk for insurers. This risk is magnified by internal processes that rely on manual shortcuts, creating the very errors that open the door to legal challenges. The most effective strategy is not to react to these threats, but to prevent them from ever taking root. Get started with a Voltaire demo. AI can accurately find and apply the correct policies, exclusions, and endorsements while keeping the adjuster in the driver’s seat.

Yo Sub Kwon, CEO

Yo Sub Kwon is the CEO of Voltaire, an AI platform that streamlines claims correspondence for insurance carriers. A serial entrepreneur with a background in cybersecurity and risk management, Yo Sub has founded and exited multiple venture-backed companies, including Coinsetter and LaunchKey. Most recently, he led the company to win several 2026 Best in Biz Awards for innovation in AI.