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RANSAC is a good approach when you have too much data to search exhaustively for things, but it's a probabilistic method and might not find the thing that you're looking for. If a randomly-selected point from your data set is likely to be part of the thing you're looking for (a wall in this case), the chances that RANSAC will find it are higher, but it's never a sure thing.
For 2d laser data, my recommendation would be to use a Hough transform. This will find the strongest straight line in your data, with probability 1.
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