AI Agents in Legal Practice: Delegating Work, Not Judgment

Free webinar Sept 25, 9AM PT/5PM UK on AI agents in law. Learn workflows, guardrails, and risks to keep judgment sharp while boosting speed and consistency.

Categorized in: AI News Legal
Published on: Sep 19, 2025
AI Agents in Legal Practice: Delegating Work, Not Judgment

Live Webinar: AI Agents + What's Next for Legal Judgment

Date published: 18 September 2025

Event: AI Agents in Law: What's Next for Legal Judgment - Free webinar with Artificial Lawyer, LegalOn's Daniel Lewis, and Bรคrรญ A. Williams - September 25, 9AM PT / 5PM UK

AI agents are moving into legal work. They offer delegate-not-just-prompt workflows, run deep research at scale, and can rival junior associates on select tasks.

The upside is clear: speed and consistency on routine matters. The risk is just as clear: handing off core judgment that defines your value.

Why this matters now

Budgets are tight, client expectations are high, and repetitive work still clogs bandwidth. Agentic AI can clear the backlog, so lawyers can focus on strategy, advocacy, and judgment.

This session shows how to use agents without losing the skills that make you a lawyer.

What you'll learn

  • Defining agents: What an AI agent is in legal work, and how it differs from earlier legal tech.
  • Working with agents: Practical onboarding, supervision, and trust-building inside legal departments.
  • Efficiency vs. expertise: Keeping judgment, creativity, and legal analysis sharp as agents handle more routine tasks.
  • Safeguarding the craft: Which competencies and instincts are hardest for AI to replicate-and how to protect them.
  • Perception of expertise: How agentic AI may shift how lawyers, clients, and the public assess legal skill.

Practical takeaways you can apply

  • Start small: Pilot clear, low-risk tasks with defined success metrics, review cadence, and rollback plans.
  • Scope and guardrails: Lock agent permissions, data sources, and actions; require human approval for final outputs.
  • Quality and audit: Use checklists, error taxonomies, and matter logs; keep versioning and citation trails.
  • Data and privilege: Set rules for confidentiality, retention, redaction, and off-limits repositories.
  • Risk frameworks: Map risks with the NIST AI RMF; document controls and exceptions.
  • Ethics and competence: Tie usage to your duty of competence (see ABA Model Rule 1.1, cmt. 8).
  • Team readiness: Train attorneys to supervise agents, read AI output critically, and escalate edge cases.
  • Governance: Assign owners for model selection, updates, validation, and incident response.

Who should attend

  • General Counsel and Heads of Legal
  • In-house counsel and Legal Ops
  • Law firm partners, KM leaders, innovation teams
  • Risk, compliance, and privacy leads

Join us on September 25 - RSVP to secure your place.

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