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eDiscovery Review: Family Vs. Four Corner
Bill Mariano and Rob Hellewell kick off this episode with another segment of Sightings of Radical Brilliance, where they discuss Dalvin Brown’s piece in the Washington Post about how AI was used to recreate actor Val Kilmer’s voice. Bill and Rob consider this great scientific achievement along with the potentially nefarious ways it can used.
Next, our hosts chat with Pooja Lalwani of Lighthouse about two key approaches to ediscovery review: family and four corner. Pooja helps break down the benefits and drawbacks of each through questions such as:
- What are some of the key differences between both approaches?
- With modern communication platforms and data creating a more dynamic and complex review process, what are some of the considerations for when and how to deploy family and four corner review?
- What review methodology is better suited to supporting TAR and AI tools?
- How do these review methodologies either help classify privilege more efficiently or potentially create limitations?
Our co-hosts wrap up the episode with a few key takeaways. If you enjoyed the show, learn more about our speakers and subscribe on the podcast homepage, rate us on Apple and Stitcher, and join in the conversation on Twitter.
Related Links
- Blog Post: Big Data Challenges in eDiscovery (and How AI-Based Analytics Can Help)
- Podcast: Leveraging AI and Analytics to Detect Privilege
- Blog Post: Overcoming eDiscovery Trepidation - Part II: A Better Outcome
About Law & Candor
Law & Candor is a podcast wholly devoted to pursuing the legal technology revolution. Co-hosts Bill Mariano and Rob Hellewell explore the impacts and possibilities that new technology is creating by streamlining workflows for ediscovery, compliance, and information governance. To learn more about the show and our speakers, visit the podcast homepage.
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By Brooks Thompson, Sarah Barsky
5
2020 ratings
Bill Mariano and Rob Hellewell kick off this episode with another segment of Sightings of Radical Brilliance, where they discuss Dalvin Brown’s piece in the Washington Post about how AI was used to recreate actor Val Kilmer’s voice. Bill and Rob consider this great scientific achievement along with the potentially nefarious ways it can used.
Next, our hosts chat with Pooja Lalwani of Lighthouse about two key approaches to ediscovery review: family and four corner. Pooja helps break down the benefits and drawbacks of each through questions such as:
- What are some of the key differences between both approaches?
- With modern communication platforms and data creating a more dynamic and complex review process, what are some of the considerations for when and how to deploy family and four corner review?
- What review methodology is better suited to supporting TAR and AI tools?
- How do these review methodologies either help classify privilege more efficiently or potentially create limitations?
Our co-hosts wrap up the episode with a few key takeaways. If you enjoyed the show, learn more about our speakers and subscribe on the podcast homepage, rate us on Apple and Stitcher, and join in the conversation on Twitter.
Related Links
- Blog Post: Big Data Challenges in eDiscovery (and How AI-Based Analytics Can Help)
- Podcast: Leveraging AI and Analytics to Detect Privilege
- Blog Post: Overcoming eDiscovery Trepidation - Part II: A Better Outcome
About Law & Candor
Law & Candor is a podcast wholly devoted to pursuing the legal technology revolution. Co-hosts Bill Mariano and Rob Hellewell explore the impacts and possibilities that new technology is creating by streamlining workflows for ediscovery, compliance, and information governance. To learn more about the show and our speakers, visit the podcast homepage.