Former Uber AGC: Tech Providers &Lsquo;Overpromising Can Lead to Disappointment'

Key Takeaways

• Tech vendors often exaggerate AI capabilities
• Legal departments increasingly insource AI-driven workflows
• Outside counsel must align services with realistic expectations
• Transparency builds trust between firms and providers
• Overpromising can damage client relationships and compliance

Summary

Ruby Zefo, former Uber AGC for privacy and cybersecurity, warns that technology providers often overstate the capabilities of generative AI tools. She argues that this overpromising fuels disappointment among corporate legal departments that are rapidly insourcing AI-driven workflows. Zefo advises outside counsel to adopt realistic expectations, focus on transparent delivery, and reshape service models to align with the evolving needs of in‑house teams. The commentary highlights a broader shift in legal tech adoption and the risks of hype‑driven contracts.

Pulse Analysis

The surge of generative AI in corporate legal departments is reshaping how technology is sourced and managed. While AI promises faster document review, predictive analytics, and contract drafting, many vendors market these tools with lofty claims that outpace current performance. This mismatch creates friction when in‑house teams, eager to cut costs and boost efficiency, encounter limitations that were never disclosed. By acknowledging the technology’s maturity level, providers can set clearer roadmaps and avoid the costly cycle of re‑negotiation and disappointment.

For outside counsel, the shift toward insourcing AI functions represents both a threat and an opportunity. Traditional law firms have long relied on a consultative model, but as companies build internal AI capabilities, firms must pivot to become strategic partners rather than mere vendors. This means offering expertise in data governance, model validation, and regulatory compliance, while being candid about what AI can realistically achieve. Counsel that embraces a collaborative, advisory stance will retain relevance and capture new revenue streams tied to AI oversight and risk management.

Industry observers note that transparency will be the differentiator in a crowded market. Firms that overpromise risk not only losing clients but also exposing themselves to liability if AI outputs lead to compliance breaches. Conversely, providers that adopt a measured narrative—highlighting pilot results, measurable ROI, and clear limitation disclosures—build stronger, longer‑lasting relationships. As the legal tech ecosystem matures, the balance between innovation and realistic delivery will dictate which players thrive in the AI‑driven future of legal services.