"The goal of this effort is to improve the patent system by establishing empirical, objective metrics directly correlated to factors such as clarity of claims and quality of prior art cited during patent examination. This will help inventors file better applications and examiners make better decisions more quickly, so that patents are more likely valid. "Improving patent quality must become an essential priority and we believe the application of advanced data analytics can help create an empirical measure for what has previously been a subjective evaluation," said Dr. Rick Lawrence, manager of Predictive Modeling for IBM Research. "By working with the academic and legal communities on this and other patent quality initiatives, we can increase the intelligence of the patent system and encourage the patenting of truly important innovations." IBM believes its commitment to researching and increasing patent quality will encourage continued investment in research and development, while discouraging legal wrangling from stunting the freedom of inventors worldwide."