Legal Innovators New York + UK, LexisNexis, Opus 2

· Source: Artificial Lawyer · Field: Legal & Regulatory — Legal Technology (LegalTech), Compliance & Risk Management, Litigation & Dispute Resolution · Depth: Intermediate, short

Summary

The Artificial Lawyer brief highlights upcoming legal technology events and resources. The Legal Innovators conferences are scheduled for London on November 4-5 and New York on November 17-18, both two-day events covering Law Firm and Inhouse perspectives on AI and legal innovation. The New York conference will be at Quorum by Convene, supported by global law firm White & Case, while London returns to the Minster Building. Additionally, two webinars are approaching: Opus 2 and Artificial Lawyer will host "From AI-enabled to AI-native workflows in litigation and beyond" on July 23rd, focusing on AI-first litigation. LexisNexis and Artificial Lawyer will present a panel on "AI Risk, Governance + Adoption" on July 9th. The brief also features a video interview with Scott Stevenson of Spellbook discussing Autonomous Contract Management.

Key takeaway

For legal professionals and AI/ML directors evaluating technology adoption, these events offer crucial insights. You should consider attending the Legal Innovators conferences in London or New York this November to explore cutting-edge AI applications and governance strategies. Additionally, register for the July 23rd Opus 2 webinar on AI-native litigation workflows or the July 9th LexisNexis panel on AI risk to gain practical guidance and inform your firm's AI integration decisions.

Key insights

AI offers significant productivity gains for lawyers but requires careful integration and governance to avoid pitfalls.

Principles

Method

Transitioning to AI-native workflows involves embedding AI into complex, high-stakes litigation processes and fostering AI-first thinking.

In practice

Topics

Best for: Domain Expert, Consultant, Director of AI/ML

Related on AIssential

Open in AIssential →

Editorial summary, takeaway, and curation by AIssential. Original article published by Artificial Lawyer.