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Chambers Ranks Seven Lawyers and Four Practice Groups in 2020 Europe Guide

Firm News | 1 min read | 04.09.20

Brussels – April 9, 2020: Chambers and Partners has ranked four Crowell & Moring practice groups and seven individual lawyers in the Chambers Europe 2020 guide. The rankings are driven by independent interviews of clients and members of the legal community.

The following practice groups and lawyers were ranked:

BELGIUM

Practice Groups

  • Competition Law: Domestic (Band 3)
  • Intellectual Property (Band 2)
  • Life Sciences (Band 4)
  • TMT (Band 1)

Lawyers

Competition: Domestic

Competition: EU

  • Partner Sean-Paul Brankin (Band 6)

Employment

Intellectual Property

Life Sciences

  • Partner Kristof Roox (Band 3)

TMT: Telecommunications

  • Partner Thomas De Meese (Band 2)

Chambers and Partners rank lawyers and law firms from 52 jurisdictions for the Chambers Europe 2020 guide. Its researchers conduct in-depth interviews with lawyers and clients and makes selections based on satisfaction, professional ability, and reputation.

The Chambers Europe 2020 guide can be accessed online here and the firm’s profile can be seen here.

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DataBahn.ai, a leader in AI-powered, security-native data pipeline platforms for modern enterprises, has secured $17 million in Series A funding led by Forgepoint Capital, with participation from S3 Ventures and GTM Capital. This brings the company’s total funding to $19 million. Crowell represented Forgepoint Capital, a leading venture capital firm that partners with transformative cybersecurity, artificial intelligence and infrastructure software companies protecting the digital future, in the transaction. The investment will accelerate DataBahn.ai’s product roadmap for agentic AI—autonomous agents that automate data engineering tasks—and support global expansion as the company cements its position as a trusted foundation for enterprise data pipelines. Already trusted by Fortune 50 and Global 2000 organizations, DataBahn.ai’s technology has helped customers reduce telemetry processing costs by over 50%, automate most data engineering workloads, and eliminate blind spots across SIEM, observability, and AI pipelines.