Data Analytics for Lawyers 2022


Course Date: June 27, 2022

Full Course Materials
Total: 3h 10min
Total Ethics: 30min

Welcome and Land Acknowledgement (9:00 - 9:05)

Chilwin ChengAscendion Law, Vancouver

Big Data and the Future of Litigation (9:05 - 9:20)

D. Geoffrey Cowper, KC Fasken Martineau DuMoulin LLP, Vancouver

BREAK (9:20 - 9:25)

Primary Law as Data (9:25 - 9:50)

  • what is law from a data perspective?
  • how does the structure of the law and legal systems affect its use as data?
  • so what can the law as data tell us that the law as language cannot?

Sarah Sutherland President and CEO, CanLII, Vancouver

BREAK (9:50 - 9:55)

Data and Law Practice Management (9:55 - 10:20)

  • reviewing the transition away from hourly billing
  • how data has been used to improve efficiencies and overall profitability
  • how technology has been used in pricing

Digby R. Leigh Digby Leigh & Company, North Vancouver

BREAK (10:20 - 10:35)

Descriptive Statistics and the Quantitative Analysis of the Common Law (10:35 - 11:10)

  • Quantitative analysis of judges' decisions can provide insights that complement conventional legal analysis. The insights derived from quantitative legal analytics can help lawyers make more accurate assessments of their cases and improve their advocacy.
  • The Lenczner Slaght Supreme Court Leave Project provides an example of how machine learning tools can be applied to legal data. That project includes a dataset that includes dozens of variables about every Supreme Court of Canada leave application decision from January 1, 2018 onward. In addition to allowing us to draw insights about what factors make cases more or less likely to get leave to the Supreme Court of Canada, we have built a machine learning model that predicts the probabilities of cases getting leave.
  • Over time, we're beginning to see more commercially available legal analytics tools. Lawyers practicing in niche practice areas where legal data analytics tools are unavailable but might be useful should consider whether the creation of their own data assets might add value to their practices. 

Paul-Erik Veel Lenczner Slaght, Toronto

BREAK (11:10 - 11:15)

Decision Tree Analysis (11:15 - 11:35)

  • why use quantitative risk analysis techniques to evaluate dispute risk
  • how to do soa case study: building a model, interpreting outputs, using sensitivity testing
  • real-world use cases

Donny Surtani Barrister, Arbitrator and Mediator, Toronto

Measuring Uncertainty in Litigation (11:35 - 11:55) 

  • the difference between variability and uncertainty
  • cognitive bias and the difference between looking at aggregate risk and unique risk
  • using Monte Carlo techniques to model uncertainty and risk in litigation
  • using sensitivity analysis to help guide litigation decisions
  • using modelling interpretation in litigation, settlement, and mediation

Chilwin ChengAscendion Law, Vancouver

Panel Discussion (11:55 - 12:35)

Moderator: Chilwin ChengAscendion Law, Vancouver

D. Geoffrey Cowper, KC Fasken Martineau DuMoulin LLP, Vancouver
Digby R. Leigh Digby Leigh & Company, North Vancouver
Donny Surtani Barrister, Arbitrator and Mediator, Toronto
Sarah Sutherland President and CEO, CanLII, Vancouver
Paul-Erik Veel Lenczner Slaght, Toronto

Concluding Remarks (12:35 - 12:45)

Chilwin ChengAscendion Law, Vancouver