In this course, we will explore the use of probabilistic and statistical evidence and inference in various legal contexts. We will explore statistical analyses in discrimination claims, health effects litigation, securities fraud, screening and profiling in criminal cases, medical monitoring claims, damages in commercial cases, DNA and other identification tests, and other applications. Our focus will be on the basic concepts of probability and statistics, as these concepts have been used, abused, and misunderstood in the courts, regulatory agencies, and legislatures. We will consider statistical inference from both the frequentist and Bayesian perspectives. Computations will be relegated to minor importance, and will not require mathematics beyond high school algebra. No previous study in statistics is required. A multiple-choice examination, focusing on conceptual learning (not computational prowess) is used for assessment, along with a final paper assignment that emphasizes engagement with probabilistic or statistical evidence used in a legal setting.