Decision Trees Explained In our first post, we discussed how presenting objective, realistic models that show all possible scenarios helps manage expectations early in the litigation process, setting the stage for productive settlement discussions. In this post, we...
In Part I combining simulation and decision tree techniques was introduced. But what does that actually give you? What meaningful results are created to justify the work? Obviously there are good things to come, or I wouldn’t be bringing it up! A regular spreadsheet...
Quantitatively Optimize Your Negotiation Strategy with Decision Trees In litigation, you often get stuck in inefficient negotiations. Between 95-97% of patent lawsuits settle before trial, but not before amassing an average of more than $2 million in expenses,...
Calculating Unassailable Fair Market Value of Intellectual Property using Monte Carlo Simulation Previously we discussed the importance of crafting decision trees in litigation strategy and why patent litigation is an expensive, time-consuming process. In part three,...