So they're both obviously a bit skewed, but the rule of law is much less skewed. In fact, what we see in the GDP data is pretty common for most data involving money: there are way, way, way more points at the low end than at the higher end. Lots of poor countries, very few super-rich countries like the U.S. This often calls for a logarithmic transformation to understand the relationship between the two data points.
As you may or may not recall from high school math, taking a logarithm is the inverse of exponentiation. That is, the statement $2^3 = 8$ is equivalent to the statement $\log_2 8 = 3$.
Logarithms are a bit tough for human psychology to really have intuitions about, but one good way to think of them is that they are a way of turning differences across orders of magnitude to differences within a single magnitude.
That is, suppose we had the following data: [1, 10, 100, 1000, 10000, 100000, 1000000, 10000000]. The range goes from one to ten million and the difference between the first and the last element is obviously huge. But if we take the log base 10 of every element in there, we end up with much smaller differences and a much less curvy line representing our datapoints in a graph.