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TransPerfect Legal

eDiscovery Trends for 2025: Navigating Innovation and Challenges

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January may already be in the rear-view mirror, but it’s never too late to get ahead of the eDiscovery curve as we accelerate into 2025. Driven by technological advancements and shifting client expectations, legal...more

Benesch

The Year In AI: 2024 Roundup and Forward-Looking Guidance From the Benesch AI Commission

Benesch on

It was a busy year for AI in 2024, and the Benesch AI Commission continued to follow the headlines and stay on top of legal developments. We wanted to take a look back at the year while also looking forward with some...more

JAMS

AI’s Double-Edged Role in Dispute Resolution

JAMS on

Recently practitioners, scholars and enthusiasts of alternative dispute resolution gathered—virtually and in person—at a JAMS Resolution Center to examine one of the most pressing and intriguing questions in the field: What...more

Cimplifi

Navigating AI in Legal Practice: A Road Map for In-House Counsel

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In today’s fast-paced technological land- scape, generative artificial intelligence is transforming various sectors, includ- ing the legal field. Even for experienced in-house lawyers, the prospect of inte- grating this...more

Association of Certified E-Discovery...

Tips for Paralegals and Litigation Support Professionals – August 2024

8/2/2024 – EU 2024/1689 – Europe Tries to Reign in AI - This week the EU regulation 2024/1689, “laying down harmonised rules on artificial intelligence” became effective. The European Artificial Intelligence Act will regulate...more

TransPerfect Legal

Three Ways Technology Relieves the Pressure from Expanding Whistleblower Regulations

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On August 1, 2024, the US Department of Justice (DOJ) released the Corporate Whistleblower Awareness Pilot Program to incentivize whistleblowers to report corporate misconduct and, in turn, force organizations to strengthen...more

Spirit Legal

An Elephant Never Forgets and Neither Does ChatGPT

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Every couple of months a new AI trend or rather hype captures the news headlines. Yesterday, it was image recognition. Today, we are discussing large language models (LLMs). Tomorrow, who knows. But let’s focus on today’s...more

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