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The Promise and Limitations of AI in Workers' Compensation

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August 24, 2026
August 24, 2026

AI is no longer an emerging technology in the workers' compensation industry. It’s becoming an integral part of how claims are managed. As carriers and third-party administrators increasingly adopt AI-powered tools, employers should understand both the opportunities and the challenges this technology presents. While AI can improve efficiency, streamline workflows, and uncover valuable insights within claims data, it also introduces important ethical and compliance considerations that require careful attention.

Where AI Adds Value

AI has become a valuable tool throughout the workers' compensation claims process, supporting healthcare providers, insurance carriers, third-party administrators, and law firms alike. It is being used to evaluate risk, analyze large volumes of data, review medical records, and assist with billing and other administrative tasks. Because workers' compensation often involves managing a high volume of claims, these capabilities can reduce administrative burdens, improve efficiency, and help claims move through the process more quickly. In many cases, those efficiencies may also contribute to lower administrative expenses and overall claim costs.

Beyond administrative efficiencies, AI is increasingly being used to support decision-making throughout the life of a workers' compensation claim. Predictive analytics can help identify claims that may be at risk of prolonged disability, litigation, or higher-than-expected costs, allowing claims professionals to intervene earlier and allocate resources more effectively. AI can also assist with document review, summarize extensive medical records, identify potential inconsistencies, and flag issues that warrant additional investigation. While these tools can improve consistency and provide valuable insights, their recommendations should always be evaluated in the context of the specific facts and circumstances of each claim.

Innovation Requires Oversight

The increased use of AI, however, also raises important ethical and compliance considerations. Workers' compensation claims routinely involve highly sensitive information, including medical records, employment information, Social Security numbers, and other personal data. Publicly available AI platforms generally should not be used to process or input confidential client information, as doing so may create privacy and confidentiality concerns. To address these risks, many organizations have adopted secure, closed AI platforms designed to comply with applicable privacy and security requirements, including HIPAA where appropriate. Even with those safeguards in place, employers, carriers, and law firms should ensure that AI is used in a manner that protects confidential information and complies with all applicable legal and ethical obligations.

Organizations should also consider how AI fits within their existing claims management practices and internal governance policies. Decisions involving compensability, medical treatment, settlement strategy, or return-to-work planning should remain transparent and supported by human review. AI-generated summaries, analyses, and recommendations should be independently verified before they are relied upon, as these tools can produce inaccurate or incomplete information. Establishing clear policies governing the appropriate use of AI, assigning responsibility for reviewing AI-generated work product, and maintaining adequate documentation can help reduce legal and compliance risks while strengthening the defensibility of claim decisions.

The Human Element Remains Essential

As AI capabilities continue to expand, many routine tasks performed in the workers' compensation process can now be completed more quickly and efficiently with technology. Even so, AI cannot replace the judgment and experience of claims professionals, nurses, attorneys, and medical experts. Workers' compensation claims frequently involve complex medical, legal, and vocational issues that require careful analysis, professional judgment, and an understanding of the unique facts of each case.

AI is most effective when it serves as a tool to support—not replace—human decision-making. When used responsibly, it can improve efficiency, reduce administrative costs, and provide valuable insights throughout the claims process. Organizations that establish clear policies and maintain appropriate human oversight can take advantage of these benefits while continuing to make informed, defensible decisions based on professional expertise.

For more information about the evolving role of AI in workers' compensation or other issues affecting employers, carriers, and claims professionals, contact Chartwell's Workers' Compensation Practice Group.

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