  In this paper, we present a framework to construct general stochastic
Runge-Kutta Lawson schemes. We prove that the schemes inherit the consistency
and convergence properties of the underlying Runge-Kutta scheme, and confirm
this in some numerical experiments. We also investigate the stability
properties of the methods and show for some examples, that the new schemes have
improved stability properties compared to the underlying schemes.
