AI Adoption Costs Rise for Legal Teams Moving Too Slowly
Panelists at RLLB 2026 highlight AI's role in raising costs for slow adopters in legal ops.
Why it matters: Legal operations and in-house counsel face rising expenses if they delay AI integration. Prioritizing AI-driven efficiency is critical to stay competitive and control costs.
- 61% of legal departments are actively deploying AI, with 10% fully embedding it in daily workflows.
- Only 2% of senior legal leaders report no AI adoption, down from 76% in 2024.
- 78% of in-house leaders seek cost reductions through AI use by outside counsel.
- Hourly billing fees projected to drop from 72% to 44% within three years due to AI.
- Google launched Gemini Enterprise for Legal to aid contract and regulatory tasks, emphasizing AI augments but does not replace human judgment.
The "Running Legal Like a Business" (RLLB) conference held September 8–11, 2026, in Las Vegas gathered over 900 legal professionals to discuss the impact of AI on legal operations. Panelists stressed that AI is shifting legal expertise closer to business decision-making points but also increasing operational costs for legal departments hesitating to modernize.
Deloitte Legal's 2026 report reveals a rapid AI adoption trajectory: 61% of legal teams are deploying AI, and 10% have integrated it fully into their workflows. The share of senior leaders with no AI adoption has plummeted from 76% in 2024 to just 2% in 2026, highlighting industry-wide momentum (Deloitte UK).
Cost reduction remains a key driver. Nearly 78% of in-house legal leaders expect AI to lower expenses when working with outside counsel (Inside Client Intelligence). This is reflected in billing models, with hourly billing fees projected to fall from 72% down to 44% within two to three years as AI-enabled efficiencies grow.
Google's recent launch of Gemini Enterprise for Legal aims to streamline tasks like legal brief preparation and contract management for law firms and in-house teams. Google's General Counsel, Halimah DeLaine Prado, cautions that "AI should augment, not replace, legal professionals" ensuring human judgment remains central (Axios).
However, fast AI adoption has outpaced governance. A Grant Thornton survey found nearly 80% of executives acknowledge their companies would fail AI governance audits, while an IBM survey highlights that only 11% of CIOs and CTOs feel fully prepared to manage large-scale AI deployments (Axios and ITPro).
For legal departments falling behind on AI adoption, the mounting operational costs and loss of competitiveness are pressing concerns. Industry experts underline that success depends on willingness to redesign legal operations around AI capabilities rather than viewing AI as a standalone fix.
By the numbers:
- 61% — legal departments deploying AI as of 2026
- 78% — in-house leaders seeking AI-driven cost reductions from outside counsel
- 72% to 44% — projected decline in hourly legal billing fees due to AI adoption
Yes, but: While AI adoption drives efficiency and cost savings, many organizations lack adequate governance and oversight, raising risk concerns.
What's next: Expect increasing vendor offerings like Google's Gemini and growing pressure on legal departments to adopt AI or face rising costs and loss of competitiveness.