Patent litigation can be messy and confusing, overwhelming even to the most experienced of judges and practitioners. To parse out the wins and losses, knowledge of case management, claim construction, patent determinations, transfers, consolidations, severances and stays is vital. Breaking cases down to the accusation level is a necessary step in the classification of winners and losers. Docket Navigator’s case and accusation outcome model described in this report ensures the most complete and accurate reporting of litigation wins and losses possible.

Docket Navigator recently engaged Feit Consulting to conduct an unbiased study comparing two patent litigation research tools – Docket Navigator and Lex Machina, a competing tool that relies heavily on AI to process legal data. The results revealed strengths and weaknesses in several areas such as user-friendliness, comprehensiveness, and accuracy. Feit’s study revealed that regardless of a user’s research prowess with these tools, the secret to finding comprehensive and accurate results hinges on the architecture of the database itself; the data points being collected, and how they are connected to other related data points.