Log-likelihood is a measure used in statistical models to evaluate the probability of observing the given data under specific model parameters, expressed as the natural logarithm of the likelihood function. It simplifies the process of finding maximum likelihood estimates by transforming products into sums, making calculations more manageable and numerically stable.