We present a randomized approach for wait-free locks with strong bounds on time and fairness in a context in which any process can be arbitrarily delayed. Our approach supports a tryLock operation that is given a set of locks, and code to run when all the locks are acquired. A tryLock operation, or attempt, may fail if there is contention on the locks, in which case the code is not run. Given an upper bound $κ$ known to the algorithm on the point contention of any lock, and an upper bound $L$ on the number of locks in a tryLock's set, a tryLock will succeed in acquiring its locks and running the code with probability at least $1/(κL)$. It is thus fair. Furthermore, if the maximum step complexity for the code in any lock is $T$, the attempt will take $O(κ^2 L^2 T)$ steps, regardless of whether it succeeds or fails. The attempts are independent, thus if the tryLock is repeatedly retried on failure, it will succeed in $O(κ^3 L^3 T)$ expected steps, and with high probability in not much more.