For the LLT Lab’s Vaccine/Injury Project (“V/IP”), the Lab helps to make legal knowledge operational and computational by annotating a sample of decisions in claims for compensation for injuries due to vaccines in the United States, and by identifying the logic structures found in these decisions. There are many objectives for this data project, but the major ones include:

  • To investigate the logical structure of the statutory rule system, case law and evidence-assessment patterns under the National Vaccine Injury Compensation Program (“VICP”) in the United States.
  • To develop annotated texts to serve as data in developing and testing software analytics for automating argument mining.
  • To develop an adequate theory of heuristics for mining logical structures in legal texts that report fact-finding and evidence assessment.
  • To develop operational protocols for creating valid and reliable data from raw legal texts in this area of law.
  • To use our linguistic and logical analyses and state-of-the-art technology to create useful tools that can increase the efficiency and quality of the VICP decision-making process.
  • To develop a library of annotated legal texts for both legal and non-legal online education.
  • To create methods for training legal decision-makers and legal practitioners, as well as researchers and students, in the use of logic skills.
  • To demonstrate the feasibility of a scalable, team approach in applying the linguistic and logical framework to legal decisions generally.