Regulated sectors & legal teams tipped to lead AI 2026

Icertis has argued that heavily regulated industries and in-house legal teams will sit at the centre of enterprise AI adoption in 2026, as organisations focus on governance, compliance and contract data as foundations for wider deployment.

The company said sectors such as healthcare, finance, life sciences and government already operate under oversight requirements that align with demands for traceable and auditable AI systems. It also pointed to concerns among senior executives about autonomous AI agents and data security as factors that will keep governance at the forefront of AI strategy.

Regulated sectors

Sudarshan Chitre, SVP Product, Icertis, framed regulation as a factor that will shape the next phase of adoption, rather than slow it. He said organisations with mature compliance disciplines can apply established controls to AI systems.

"In 2026, heavily regulated industries - not big tech or startups - will be the biggest winners from AI. While tech firms continue to innovate and commercialise the technology, regulated sectors like healthcare, finance, life sciences, and national governments will unlock the greatest value by using regulation as the blueprint for trustworthy AI at scale. These sectors are turning oversight into a competitive advantage. What were once seen as barriers - compliance, documentation, and audit requirements - will become the scaffolding that allows AI to scale responsibly," said Sudarshan Chitre, SVP Product, Icertis.

Chitre also cited executive concerns about autonomy in AI systems. He referred to findings from an Icertis study and said worries about control and reliability remain widespread, even as companies test agent-style tools for business processes.

"Today, leaders are still wrestling with how to do this safely. An Icertis study found that 56% of C-suite leaders are very concerned about granting agents the autonomy to make business decisions without suitable guardrails, and 44% admit they lack sufficient trust in an agent's ability to execute tasks autonomously. Data security tops the list of deployment hurdles, closely followed by compliance and reputational risk. Those concerns are creating a trust gap that only entities with strong governance and regulatory discipline will be able to close," said Chitre.

In regulated environments, organisations already manage processes that require audit trails, documentation and accountability. Chitre said these practices map closely to expectations that businesses and regulators place on AI systems, particularly in sensitive settings such as healthcare and financial services.

"In high-stakes environments, organisations operate within frameworks demanding traceability, auditability, and transparency. That discipline is exactly what responsible AI requires - every AI recommendation must be explainable, and every decision must be auditable. This culture of discipline transforms regulation into an engine of trust and positions these industries to lead the next wave of adoption," said Chitre.

Contract focus

Icertis develops contract lifecycle management software. Chitre positioned contracts as an internal source of structured rules that can shape how automation behaves, particularly when organisations introduce AI systems that act with more independence.

"In any sector, winning with AI means ensuring that autonomous systems operate within the same rules that govern the rest of the business - and those rules are embedded in contracts. Contracts are the foundation of commerce, defining how revenue is captured, how risk is managed, and how commercial relationships are structured, which makes them one of the richest and most underutilised data sources for the enterprise. When AI is grounded in contract intelligence, organisations in industries like healthcare and finance can ensure that automation operates within a structure of compliance, ethics, and accountability," said Chitre.

The company's view aligns with a broader trend in enterprise software that treats governance, risk and compliance controls as core requirements for AI roll-outs. Large organisations have reported growing focus on access controls, data governance and monitoring as they move from pilots to production deployments.

Chitre said regulated industries could set the pace as companies pursue scale and consistency, rather than isolated experiments. He said governance frameworks would shape competitive outcomes.

"Together, these dynamics - regulatory discipline plus contract intelligence - will make heavily regulated sectors the model for responsible AI adoption. The organisations that win in 2026 will be those that anchor AI innovation with trusted guardrails. By embedding governance and compliance into AI from day one, organisations in these sectors will create a "trust dividend" that accelerates adoption, strengthens outcomes, and differentiates leaders from laggards. AI discipline will prove to be the new speed," said Chitre.

Legal leadership

Bernadette Bulacan, Chief Evangelist, Icertis, said in-house legal functions will take a more prominent role in AI programmes across companies. She described a shift in expectations for General Counsels and legal operations teams as AI moves into everyday workflows.

"In 2026, the real gift for in-house legal isn't another tool - it's a General Counsel who treats AI like a strategic superpower, not a science experiment: the kind of 'unicorn' leader we expect to see much more of in the new year. Secure, scalable, deeply integrated AI will quickly become table stakes. The true legal ops luxury is a General Counsel who leans in, champions technology, and evangelises the value of an AI-enabled legal department across the enterprise," said Bernadette Bulacan, Chief Evangelist, Icertis.

Bulacan also said legal teams will face pressures from regulation, workload and business demand. She said those factors will shape the pace of change and the willingness of legal functions to push beyond small trials.

"After decades of sheepishly holding the title of 'Most Tech-Averse Department,' in 2026, corporate counsel will surprise the enterprise with a full reputation rebrand as the company's boldest technology adopters. They'll leave those 2025 pilots behind and lead full-blown AI rollouts, win innovation awards, and host lunch-and-learns to teach everyone else how to use the tools. Driven by regulatory pressure, rising workloads, and business demand for speed, legal will have no choice but to lead from the front. They will shed their perception as the 'Department of Slow' when it comes to technology adoption and be seen as the poster children for deploying responsible, high-impact AI across the enterprise by year's end," said Bulacan.

Companies across regulated sectors have increased investment in governance structures for AI, including model oversight, controls on data usage and policies on automation. Icertis said it expects those efforts to intensify through 2026 as organisations expand AI use into contract workflows and broader business processes.