We imagine an optimal outcome, then work backwards to establish the things necessary to produce that.
We cannot know for certain what will happen. But we can estimate likelihood without regard for our decision.
We make an assessment about the likely probabilities of certain outcomes. Using a simple calculation you can roughly value the relative advantage of a decision.
We used machine learning to deduce the optimal way to classify files. Then we trained an algorithim to classify documents automatically. Search for natural language phrases within your files, in real time.
All cases are different. But our law firm has a dedicated decision making method that allows for repeatable results in a large variety of cases.
