Practice Guide: Keep Calm and CAL On: Key Decisions about Continuous Active Learning
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Xavier Diokno is a Senior Director at Consilio, a global leader in eDiscovery, document review and legal consulting services. Xavier has a bachelor’s degree in computer science from Southern Illinois University, a master’s degree in computer science from the University of Illinois at Chicago and a juris doctor degree from DePaul University College of Law. He is licensed to practice in the state of Illinois and the United States Patent and Trademark Office.
Prior to becoming an attorney, Xavier worked in the information technology industry for ten years in database administration and software development. For more than a decade, Xavier was part of Consilio’s Data Analytics group, where he oversaw the team’s tripling in size, as well as numerous large-scale projects involving Technology-Assisted Review, Immediate Case Assessments™, and novel analytics research. Xavier now applies his technical and legal experience to overseeing Consilio’s Innovation initiatives, including researching new technologies like artificial intelligence and developing their application to legal services.
Summary
On any new matter, an eDiscovery professional must assess the project’s goals and whether CAL can be leveraged to help achieve those goals. When considering CAL, there are three main decision points: deciding whether to use CAL, deciding how to use CAL, and deciding when your CAL process is complete. This practice guide will review the key factors that must be considered when facing these decision points.
In this Practice Guide
- Deciding whether to use CAL
- Deciding how to use CAL
- Deciding when your CAL process is complete
Key Insights
- The relationship between goals and methods
- The potential of transferable models
- The importance of results validation
Summary
On any new matter, an eDiscovery professional must assess the project’s goals and whether CAL can be leveraged to help achieve those goals. When considering CAL, there are three main decision points: deciding whether to use CAL, deciding how to use CAL, and deciding when your CAL process is complete. This practice guide will review the key factors that must be considered when facing these decision points.
In this Practice Guide
- Deciding whether to use CAL
- Deciding how to use CAL
- Deciding when your CAL process is complete
Key Insights
- The relationship between goals and methods
- The potential of transferable models
- The importance of results validation
