What type of data might insurers look for in a loss run to evaluate a potential client's risk?

Insurers assess claims patterns in a loss run because this data reveals the frequency and severity of past claims made by a potential client. Understanding these trends is crucial for evaluating the client's risk profile, as consistent or severe claims history indicates a higher likelihood of future claims. By analyzing claims patterns, insurers can identify specific risks associated with a client’s operations, which can inform underwriting decisions and premium pricing strategies. This comprehensive examination helps insurers determine whether the client poses a higher risk compared to others in the same industry or activity.

The other data types, while potentially informative in different contexts, do not provide the same level of direct insight into the client's risk as claims patterns do. Personal history and payment history may relate to the financial stability of the client but do not necessarily reveal operational risks. Legal documents may be relevant for understanding obligations or liabilities, but they do not directly relate to the historical claims data that insurers prioritize for risk assessments.