By David Kalat, BRG | December 11, 2023
The original Y2K was resolved thanks to an estimated $100 billion worth of diligent effort by dedicated computer engineers dutifully rewriting affected code behind the scenes. A similar issue will arise in 2038—the Y2K38 problem, as it were—and will yield to the same solution.
By Cassandre Coyer | December 7, 2023
Even for companies that have built in an architecture that allows them to switch out large language models, doing so is not always a straightforward, or quick, endeavor.
By Rhys Dipshan | December 7, 2023
The State of Legal Technology report by Lexion found that in-house legal tech spending is growing this year, with many eyeing new contract and AI tools in the near future.
By Cassandre Coyer | December 6, 2023
Some worry that the biggest challenge with generative AI disclosures will be around how to craft a definition that accurately encapsulates the types of tools that parties have in mind, instead of a catch-all that casts too wide a net.
By Isha Marathe | December 4, 2023
The Federal Trade Commission submitted a comment to the U.S. Copyright Office voicing its intention to investigate the copyright practices of AI developers who they believe are engaging in unfair competition—whether the companies infringed copyright or not.
By Amy Guthrie | December 4, 2023
A councilman in the southern city of Porto Alegre revealed, after his colleagues passed the ordinance, that artificial intelligence had crafted the proposal.
By Maria Dinzeo | December 4, 2023
"Companies are faced with this conundrum of wanting to provide more detail but not wanting to give too much," Orrick partner Aravind Swaminathan said.
By Cassandre Coyer | December 1, 2023
The definition of a custodian in e-discovery has evolved significantly over the years, along with its importance, as data volumes and types have exploded. E-discovery experts expect that generative AI will add one more twist to this trend.
By Isha Marathe | December 1, 2023
At Axiom's webinar "AI & Data Privacy: Emerging Trends for In-House Counsel," panelists discussed the on-the-ground use cases of generative AI for legal departments—and how they should be leveraged with the future of the technology in mind.
By Cassandre Coyer | November 29, 2023
Large language models trained on publicly available personal data don't really have the option to "forget" parts of their training set without being wholly retrained from scratch. Can they still be compliant with the GDPR's right to be forgotten?
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