CPC G06Q 40/10 (2013.01) [G06N 5/04 (2013.01); G06N 20/00 (2019.01); G06Q 10/10 (2013.01); G06Q 30/018 (2013.01); G06Q 40/123 (2013.12); G06Q 50/18 (2013.01); G06Q 50/26 (2013.01)] | 20 Claims |
1. A method, comprising:
receiving, via user input(s) of a graphical user interface, first factual elements associated with module(s);
identifying, using one or more processors:
an applicable first legal position from a plurality of legal positions stored on a non-transitory computer readable medium; and
a present legal strategy from a plurality of legal strategies stored on the non-transitory computer readable medium,
wherein the present legal strategy is supported by the first factual elements and a legal document;
applying, using the one or more processors, the present legal strategy to generate first legal work product based on the first factual elements and the applicable first legal position;
identifying, using artificial intelligence, a future legal strategy based on the legal work product;
and
updating, using machine learning, the module(s), the plurality of legal positions, and the plurality of legal strategies;
wherein the step of updating is based on the future legal strategy identified using artificial intelligence;
wherein the legal document is associated with a federal judge;
wherein the method further comprises analyzing ideological inclination(s) associated with the federal judge based on court case(s); and
wherein the present legal strategy is based on the analysis of the ideological inclination(s) associated with the federal judge and a prediction of the outcome of the present legal strategy based on said analysis of the ideological inclination(s) associated with the federal judge.
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