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ML in GRC: Machine Learning in Legal Automation, How to Trust a Lawyerbot

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This presentation analyzes the role that Machine Learning plays in legal automation with a real-world Machine Learning application.

Speaker: Arnoud Engelfriet, Co-Founder at Lynn Legal.

*ML in GRC 2021: Virtual Conference.

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ML in GRC: Machine Learning in Legal Automation, How to Trust a Lawyerbot

  1. 1. MACHINE LEARNING IN LEGAL AUTOMATION: HOW TO TRUST A LAWYERBOT ARNOUD ENGELFRIET, CO FOUNDER AT LYNN LEGAL
  2. 2. 66% of respondents would consent to an autonomous AI-driven system to perform invasive surgery.
  3. 3. 36% of respondents would trust an autonomous AI-driven police dog to intervene appropriately …
  4. 4. 36% … but only if it wears a visible muzzle.
  5. 5. 23% of respondents would file a tax return created by an AI system without a human final check.
  6. 6. 79% of respondents would trust AI- flowerpot Tess as the sole supervisor of an elderly person in a care home.
  7. 7. 48% of respondents would send a document reviewed by lawyerbot Lynn to its counterpart without human review.
  8. 8. 88% of respondents would use a lawyerbot as a quickscan to decide whether or not to proceed at all.
  9. 9. • Reads and understands legal clauses. • Intuitive grasp of impact • Chooses her battles • Applies statistics & similarity to classify clauses • Works strictly according to predefined playbook • Raises every issue, every time
  10. 10. Pre-check: Give users a feeling of what the human lawyer will say Quickscan: If lawyerbot says OK, it’s ok Otherwise send it to the human lawyer Fast lane: If value is low then let lawyerbot review it Otherwise send it to the human lawyer Preliminary scan: First resolve the issues raised by the lawyerbot. Then send it to the human lawyer.
  11. 11. •Change: high •Risk reduction: high •Cost savings: medium •Change: high •Risk reduction: high •Cost savings: high •Change: low •Risk reduction: medium •Cost savings: medium •Change: minimal •Risk reduction: low •Cost savings: low Precheck Quickscan Preliminary scan Fast lane
  12. 12. THANK YOU! Arnoud Engelfriet Co founder at Lynn Legal A.Engelfriet@juriblox.nl +31 (0)20 229 33 45 Lynnlegal.AI

This presentation analyzes the role that Machine Learning plays in legal automation with a real-world Machine Learning application. Speaker: Arnoud Engelfriet, Co-Founder at Lynn Legal. *ML in GRC 2021: Virtual Conference.

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