A theme in studying random matrices from the classical groups is that Haar-distributed matrices are close to Gaussian matrices in many ways; one way is that linear functions of random orthogonal matrices are asymptotically normally distributed (as the dimension approaches infinity). I will discuss an infinitesimal version of Stein's method, introduced by Stein in 1995, which can be used to obtain a rate of convergence in this and related theorems.