Overview
This webinar introduces Law Cyborg, an AI legal research platform, and explores how AI is changing legal research workflows for New Zealand law firms.
The session is designed for OneLaw users who want to understand how AI-assisted research differs from traditional keyword-based research tools. It explains why legal research is a strong use case for AI, how source-backed answers can support research confidence, and how tools such as Law Cyborg can help users develop a line of inquiry across cases, legislation, and commentary.
The session also includes a brief discussion of OneLaw’s AI strategy and the potential for future integration between OneLaw and Law Cyborg.
In this video, you'll learn
- How AI is changing legal research workflows
- Why keyword-based legal research can miss relevant material
- How Law Cyborg uses legal sources to support AI-generated answers
- How users can ask broad research questions and refine them through follow-up prompts
- How source-backed responses help users verify legal research outputs
- How OneLaw is considering AI integrations as part of its broader product strategy
Presented by Oscar McGuire, AI Consultant, Law Cyborg; and Tony Rogers, Chief Technology Officer, OneLaw
Webinar length: approximately 30 minutes
Recorded on 23 June 2026
Key Takeaways
- AI-assisted legal research allows users to ask broader, more natural research questions than traditional keyword search tools.
- Law Cyborg supports legal research by generating answers from underlying legal sources rather than relying only on general AI knowledge.
- Source-backed responses are important because users still need to verify the legal material behind an answer.
- Conversational research workflows allow users to build a line of inquiry over multiple questions.
- OneLaw is exploring integration opportunities that may connect AI research capabilities with documents and metadata stored in OneLaw.