11. The system of claim 10 , wherein said document reviewing and scoring engine evaluates aggregate crowdsourced document score (ACDS) based on credentialed expertise and other attributes of said crowdsourced experts, based on an empirical relation, said empirical relation being: 
 ACDS={( E 1 +E 2 +E 3 + . . . +E X ) W 1 +( R 1 +R 2 +R 3 + . . . +R X ) W 2 +( O 1 +O 2 +O 3 + . . . +O X ) W 3 }( D 1 +D 2 +D 3 + . . . +D X )CI wherein: E 1 , E 2 , E 3 , . . . E X represent respective credentialed expertise of X number of crowdsourced experts, R 1 , R 2 , R 3 , . . . R X represent respective reputation of said X number of crowdsourced experts, O 1 , O 2 , O 3 , . . . O X represent respective officiality of said X number of crowdsourced experts, D 1 , D 2 , D 3 . . . D X represent respective document scores earned by said X number of crowdsourced experts, and CI represents a non-linear crowdsourcing index.
12. The system of claim 11 , wherein said CI is defined non-linearly with integral ranges (R) of experts who credential said document, first five of said ranges and corresponding CI being: CI=1, when R=0-2 experts, CI=1.2, when R=3-4 experts, CI=1.5, when R=5-6 experts CI=1.9, when R=7-8 experts, and CI=2.5, when R=9-10 experts.