In practice, the observed information matrix (Newton-Raphson) is usually replaced by its expectation, known as Fisher scoring.
Link: https://en.wikipedia.org/wiki/Scoring_algorithm#Fisher_scoring
What I don't understand is, why the expectation of the matrix is easier to compute than the matrix itself? Otherwise, there wouldn't be any point to use Fisher scoring.