David Wang, Cooley – Legal Innovators California Keynote

2026-05-18 · Source: Artificial Lawyer · Field: Legal & Regulatory — Legal Technology (LegalTech), Corporate Law & Business Legal Services · Depth: Intermediate, quick

Summary

Cooley's innovation chief, David Wang, will be a keynote speaker at the Legal Innovators California conference in San Francisco on June 10 and 11, 2026. The event, focused on legal AI, offers complimentary passes for law firm and in-house professionals via Express Registration. Wang's interview previews themes including the evolution of legal writing towards higher abstraction, the productivity gap between judgment and automation in legal work, and AI-related anxiety among junior lawyers. He also discusses how mastering AI enhances problem-solving and differentiates firms, noting that client expectations and internal innovation are driving AI adoption. A related Legal Innovators Europe conference is scheduled for June 24 and 25 in Paris.

Key takeaway

For legal professionals considering AI integration, recognize that AI is shifting legal writing towards higher abstraction and redefining output ownership. Your firm's ability to master AI will enhance problem-solving and differentiate you in the market, driven by client expectations. Prioritize skill development for junior lawyers to mitigate anxiety and maximize productivity.

Key insights

AI is transforming legal writing and practice, necessitating new skills and redefining professional ownership.

Principles

• Legal writing moves to higher abstraction.
• AI mastery differentiates legal firms.
• Client expectations drive AI adoption.

Method

Re-frame AI as a skill development tool to alleviate junior lawyer anxiety and enhance productivity.

In practice

• Attend Legal Innovators conferences.
• Focus on AI skill development.
• Address client AI expectations.

Topics

• Legal Innovation
• AI in Legal Practice
• Legal Writing Evolution
• Lawyer Productivity
• Client-Driven AI Adoption

Best for: Legal Professional, Director of AI/ML, Consultant

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