Legartis Blog

Seven examples of AI agents in the legal department, each with trigger, process, boundary and result. Plus the factors that decide a rollout, the authorisation features an agent needs, and an honest look back at what we predicted in 2025.

Legartis has appointed Dennis G. Jansen, LL.M., as General Counsel and Head of Legal AI. The newly created dual role puts legal responsibility and the development of the Legal AI Workspace under one lead.

Legartis extends agentic contract work into negotiation. The Legal Agent compares every new version, shows what changed and what to decide, and keeps the process in the Workspace through to signature.

A practical guide to contract redlining: how the process works, the best practices to follow, where manual redlining breaks down at scale, and how AI checks each version against your playbook.

Contract negotiation software brings redlines, versions and approvals into one workflow, and AI checks every draft against your playbook, so deals move faster without losing control of risk.

Your legal AI agents already run intake, triage and reviews. A GC's guide to governing agentic legal AI — through three lenses: governance, operations, and cost.

Why legal teams need more than plausible outputs — and what auditable AI quality really means for enterprise legal work.

Claude Legal's benchmark numbers look strong. But for enterprise contract review, the accuracy gap, absent playbook enforcement, and GDPR exposure make deploying it without purpose-built safeguards a risk most legal teams don't see coming.

Contract management best practices as an operational playbook: 8 actionable rules for in-house legal teams — from standards and ownership to post-signature management and measurable quality.