Tech, Trust & Transformation: How Legal Teams Drive ROI from AI and Automation

In this webinar, we summarise (with timestamps)

^01:15 The panel sets the stage by discussing the practical realities of driving real ROI from AI and automation in legal teams.
^04:42 Speakers talk about how legal teams can lead AI initiatives in their organizations by choosing the right tools and measuring their impact.
^07:09 LaTrece Johnson explains that building trust is key to adoption, often starting with simple AI use cases in everyday tasks.
^11:57 The discussion highlights the importance of vendor transparency about tool limitations and future roadmaps.
^15:42 Laura Belmont emphasizes the need for clear answers from vendors around data usage, retention, and AI models.
^21:12 The panel explores how categorizing AI use cases like summarization or data analysis—helps teams identify where they can save time and effort.
^23:18 Speakers discuss defining success, noting that certain tasks, like document translation, require very high accuracy to be useful.
^25:46 Laura shares how building specific “skills” within AI tools can help lawyers embed their expertise and achieve more consistent results.
^32:12 The conversation turns to challenges in scaling AI, including user fatigue and varying comfort levels across teams.
^36:31 Laura highlights the shift from measuring value through billable hours to focusing on insights and strategic impact.
^46:06 The panel notes that the time saved through AI should be used for more proactive work, such as getting involved earlier in product or deal discussions.
^53:11 Speakers also raise security considerations, emphasizing the need for continuous vigilance as AI tools evolve.
^56:44 The session closes with advice to start small, organize internal data first, and treat AI as a supportive partner rather than a replacement for human judgment.

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"AI won’t replace you—but it will replace those who choose not to adopt it."
— LaTrece Johnson, Head of Legal Operations, Palo Alto Network