Webinar

Power Your Workflows & Request Management with an AI Front Door

Watch how the AI Legal Front Door streamlines intake with chat, email, and Slack, delivering policy-based answers, workflow automation, reporting, and in-house legal insights.

  • 00:03 Intro: AI Legal Front Door for Legal Intake & Request Management
  • 00:50 Speakers: Legal Tech, Legal Ops, Workflow Automation
  • 02:08 Restaurant Metaphor → In-House Legal Intake gone wrong
  • 04:02 Poll: Email vs Slack/Teams for Legal Request Intake
  • 05:23 Pain #1: Fragmented legal service desk & unstructured intake
  • 07:40 Pain #2: Legal triage, misrouting, missing matter context
  • 09:25 Pain #3: Legal analytics, SLAs, proving value to the GC
  • 11:03 Common stopgaps: Shared inboxes, spreadsheets, misfit IT ticketing
  • 12:09 Vision: Multi-channel Legal Front Door (email/Slack/Teams)
  • 13:16 Pillars: Conversational AI for Legal + Knowledge + Workflow
  • 15:22 Demo start: Legal AI Assistant for request intake
  • 18:01 Slack demo: Contract request → policy guidance + action
  • 19:41 Launch to Document Execution Workflow (approvals, e-signature)
  • 21:13 “Is this canned?” Generating policy-grounded legal answers
  • 22:17 Sources: Upload policies, playbooks, templates, connect apps
  • 23:19 One-click “train”: No data scientist, governed LLM setup
  • 24:10 Email intake demo: Gifts & Entertainment conflict check
  • 25:25 AI reply: Compliance policy + workflow link from email
  • 26:05 AI dashboards: Conversations, unanswered, channel sources
  • 27:41 Request & Matter Reporting: Workload, SLAs, capacity
  • 28:46 Where NOT to use GenAI: Control, accuracy, risk
  • 30:27 Fallbacks & handoffs: Intake form, attorney assignment
  • 33:59 Tracking AI accuracy: Unanswered Qs & audit trails
  • 35:33 Why chat accuracy ≠ clause extraction (CLM context)
  • 37:12 Start small: UAT, low temperature, policy-based answers
  • 38:44 Recap: Legal intake + knowledge + workflow automation
  • 40:19 Closing: Roadmap for in-house legal & legal ops teams
Webinar

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