Legal Industry Adopts Agentic AI Systems for Litigation Practice

Jul 30, 2026

The legal industry is transitioning from reactive generative AI to real-time agentic AI systems, particularly in high-stakes litigation and deposition workflows. While the U.S. legal services market is projected to grow from $380 billion in 2026 to $437 billion by 2031, corporate counsel face rising litigation complexity. Legal adoption of these tools depends heavily on established trust, proven reliability, and the ultimate accountability of human attorneys who must sign off on the work.

Agentic AI litigation adoption

▪Agentic AI represents a technological shift from systems producing static outputs to systems that actively support attorneys in real time.
▪Agentic AI transitions litigation workflows from linear phases of preparation, execution, and analysis to a dynamic model where preparation and execution operate in tandem.
▪Generative AI has integrated into legal practice through tools that draft documents, review contracts, and accelerate research.

Real-time deposition assistance

▪Following depositions, agentic AI systems integrate transcripts, notes, and AI-generated insights into a unified workflow.
▪Agentic AI systems can monitor live deposition testimony in real time to track addressed topics, flag inconsistencies, and suggest lines of inquiry.
▪During depositions, agentic AI systems can check a witness's answer against thousands of pages of records in the time it takes to glance at a notepad.

Reliability standards

▪Legal teams prioritize AI tools based on reliability and consistent performance rather than novelty due to their professional obligations to clients.
▪AI reliability in the legal sector is built over years of accurate work, deep expertise, and partnership, making it difficult for new market entrants to replicate.

Accountability requirements

▪The adoption of AI in the legal profession is gated by whether a human professional can stand behind the technology when it fails.
▪Legal responsibility and accountability remain with the human professional because AI systems cannot be sued, sanctioned, or disbarred.

Legal services market growth

▪Norton Rose's 2025 Litigation Trends Survey reported that more than 80 percent of respondents found settlements more difficult to reach due to rising costs, regulatory pressure, and escalating demands.
▪Norton Rose's 2026 Litigation Trends Survey found that 82 percent of corporate counsel managed at least one high-stakes lawsuit in the past year.
▪Norton Rose's 2026 Litigation Trends Survey found that only 29 percent of corporate counsel feel very prepared to manage litigation in the year ahead.
▪The United States legal services market is estimated at $380 billion in 2026 and is projected to reach $437 billion by 2031.

Trust-based competitive differentiation

▪Adoption of agentic AI will create a new axis of competition for legal services providers, won by those trusted to deliver AI reliably.
▪Market differentiation in the legal industry will depend on embedding AI into live workflows to support real-time decision-making rather than just accelerating document production.