Lean Legal, Smart AI: Do More with the Same Headcount

In this webinar, we summarise:

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^00:15 Legal leaders unpack why “do more with less” remains every in-house counsel’s challenge amid 79% YoY rise in matter volume.

^04:30 Akshay Doshi defines “lean legal” as a design philosophy focused on leverage, not headcount.

^07:20 Marco Shikore explains how Siemens productized legal output to scale impact across four regions.

^11:45 Lynette Uy shares her “stop, simplify, supercharge” framework to free legal teams from repetitive tasks.

^15:10 Amazon’s early self-help and NDA automation tools prove how process-first thinking enables AI adoption.

^19:05 Panelists discuss how empathy, clarity, and transparency drive lasting change in legal tech rollouts.

^23:30 Siemens’ culture of experimentation shows how even regulated teams can test, learn, and innovate safely.

^27:40 Lessons from Amazon AWS’s failed CLM attempts highlight persistence as the key to successful transformation.

^32:05 Global poll reveals budget justification and stakeholder skepticism as top barriers to legal AI adoption.

^35:50 Lynette reframes AI ROI: from cost cutting to revenue enablement via renewals and repricing visibility.

^41:00 Siemens’ internal AI bot showcases practical automation for policy review and compliance management.

^45:15 Experts outline how legal teams can secure data privacy and privilege when deploying AI tools.

^49:30 SpotDraft’s adoption roadmap: optimize existing tools, identify process gaps, test small, scale what works.

^53:10 Key takeaways: lean equals leverage, mindset before platform, and AI’s ROI lies in quality and proactivity.

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References

• 2024 Legal Department Operations Index: Thomson Reuters