Hiring

Reports To: Samuel Dahan, Director, Conflict Analytics Laboratory (CAL)

Classification: Contract – 4 Month Term (May 2021 – Sept 2021) 

Number of Positions Available: 4

Year: 1L and 2L 

POSITION PURPOSE:

The Conflict Analytics Lab is a research-based consortium concerned with the application of data science and machine learning to dispute resolution. It comprises a global network of experts drawn from across industry and academia (including Queen’s University and McGill University in Canada, Columbia Business Analytics in the United States, and HEC Paris in France).

The Conflict Analytics Lab is currently hiring 4 Researchers to assist with a project in conjunction with Borden Ladner Gervais LLP. This posting is specific for the BLG-CAL collaboration and is separate from CAL’s summer cohort.

The overall objectives of the position are as follows:

  1. Develop intelligent systems capable of reading and learning from negotiation agreements in the field of municipal and health disputes.
  2. To develop a system capable of assisting lawyers in finding optimal negotiation strategies and outcomes.

SUMMARY OF RESEARCH: 

Dispute settlement is fundamentally about “bargaining in the shadow of the law,” where lawyers resolve disputes by speculating what would happen if a court were to decide the matter. However, this approach is suboptimal because of two reasons. First, calculating the odds of winning a court case is a challenging task because judicial decisions are shaped by hundreds of legal and non-legal factors. Second, in many areas, disputes ended being resolved through settlement agreements. Thus, making predictions based solely on past legal precedents can exacerbate inaccurate predictions.

The Conflict Analytics Lab therefore aims to harness rapid advances in data science research to assess text similarity and draw natural language inferences in order to improve consistency, transparency and efficiency in dispute settlement. Specifically, we aim to develop an algorithmic system, trained on both public legal data and proprietary negotiation data, that will provide a tailored prediction as to how a court would likely resolve the dispute as well as the optimal settlement.

DUTIES & RESPONSIBILITIES: 

  1. Assist with the planning and initiation of AI research study protocol, and the establishment of operating policies and procedures. 
  2. Assist with the review and compilation of municipal/health/medical malpractice cases on damage quantum in Canada 
  3. Help determine labels for annotation of legal meta-deta, as part of a larger inter-disciplinary research team 
  4. Help annotate Canadian case law on personal injury, across Ontario and B.C.
  5. Participate in learning workshops on data analytics and damage calculation 
  6. Assist with testing and validation of machine learning algorithms for digital platform
  7. Help draft and edit law manuscripts and articles pertaining to AI-research outcomes
  8. Perform miscellaneous job-related duties as assigned by the Principal Investigator 

MINIMUM REQUIREMENTS:

We aim to recruit  individuals who possess the following attributes:

  • Strong legal analysis skills
  • Good judgment
  • Excellent oral and written communication skills (including attention to detail)
  • A strong academic record and motivation to learn
  • A genuine interest in the intersection of AI technology and the law
  • Strong teamwork skills
  • Ability to travel to BLG’s Toronto Office (subject to provincial lockdown)
  • Technical knowledge in machine learning and computer programming is not necessary

SALARY:

Compensation is competitive with Queen’s University summer research positions. 

Please submit your cover letter, transcripts, and resume (reference letters are optional), outlining your interest to: 

David Liang 

Student Director

Conflict Analytics Laboratory 

david.liang@queensu.ca

Deadline: April 12th, 2021 at 11:59pm

CAL is an equal opportunity employer that fosters an inclusive, equitable, and accessible environment. Please notify us if you require accommodation at any time during the application process.