Next Generation of Predictive Coding Engines Webinar
Catalyst will present a complimentary webinar on Technology Assisted Review and the next generation of predictive coding engines on Thursday, August 7, at 1 p.m. Eastern time.
TAR has revolutionized e-discovery, saving time and money by dramatically (and defensibly) reducing review populations. But first-generation systems had significant limits in how they had to be trained and in their ability to handle the real-world problems of e-discovery.
Enter TAR 2.0 and the next generation of predictive ranking. These advanced platforms overcome TAR’s initial limits. They allow continuous active learning, continuous ranking, and training by large review teams. With the power and flexibility to handle a diverse array of tasks within any sized case or investigation, they broaden the uses of TAR. Greater time and cost savings result.
Join Catalyst for an informative webinar on what you need to know about the latest TAR platforms. Topics will include:
- New research from the Association of Computing Machinery on which TAR training protocols (e.g., active vs. passive) are the most efficient and effective.
- Training with random samples vs. active modeling – which is more effective in particular cases and how to overcome potential bias in non-random approaches.
- New ways to deploy TAR to reduce time and cost for e-discovery tasks beyond the traditional review for production – including real-world examples.
- How much time and money can you expect to save using newer tools and workflows.
- Checklist of considerations and best practices you can use when selecting TAR systems for a specific case or task
