How agentic AI is transforming legal workflows — and what your firm needs to know to stay ahead
Highlights
- Agentic AI autonomously manages complex legal workflows with planning, reasoning, and adaptive capabilities.
- 77% of legal professionals expect agentic AI central to workflows by 2030.
- Fiduciary-grade AI delivers higher efficiency gains built specifically for legal practice standards.
The possibilities of using AI within legal practice have never been greater.
According to recent research, 41% of law firms are active users of generative AI, with another 40% considering organization-wide implementation. In fact, research from the Federal Bar Association shows that 65% of attorneys report saving one to five hours per week using AI, with many saving 6–10+ hours.
Firms have found that using legal AI effectively provides a competitive edge in that they can deliver results faster, with greater accuracy, and with lower costs because they leverage the AI’s ability to perform difficult tasks in minutes versus hours or days.
But while generative AI dominates industry conversation, a new evolution is emerging: agentic AI. This represents a fundamental shift from traditional single-task, reactive AI to systems that can manage complex legal workflows more autonomously, without requiring a prompt at every step, while preserving meaningful human oversight.
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Understanding the difference: Generative vs. agentic AI
Real-world applications in legal practice
Current adoption and future trajectory
The professional services challenge
Understanding the difference: Generative vs. agentic AI
The distinction between generative and agentic AI represents a fundamental evolution in artificial intelligence capabilities. While generative AI has dominated recent industry conversations, agentic AI represents the next step in AI development.
Generative AI operates as a reactive system that responds to prompts and produces individual outputs. These systems are designed to generate content based on user input, but they require continuous human guidance and prompting for each task.
Agentic AI systems possess four critical capabilities that distinguish them from traditional AI:
- Planning: Can break down complex tasks into sequential steps and strategies
- Reasoning: Applies domain-specific logic to complex tasks
- Acting: Takes actions within existing workflows and systems
- Reacting: Adapts approach based on results, feedback, and your reporting changing circumstances
The key difference lies in autonomy and capability. Where generative AI responds to prompts but cannot initiate actions, agentic AI can proactively plan multi-step strategies, maintain persistent context across interactions, and execute tasks within professional workflows without requiring human guidance at every single step.
To understand how this distinction plays out in legal practice, consider these parallel workflows:
- Generative AI can provide an outline of the determinative standards for child custody in Philadelphia based on legal content within one platform.
- Agentic AI can independently research child custody legal requirements across multiple tools, identify which standards may be most valuable for your factual scenario, review a deposition, extract facts that provide support for your client based on facts of the case and its research.
Real-world applications in legal practice
Instead of simply answering a legal question, agentic AI can:
- Analyze the specific legal context and jurisdiction
- Plan a comprehensive research strategy
- Execute tasks like legal research using different tools
- Synthesize findings into a coherent legal analysis
- Flag potential issues or contradictions
- Suggest follow-up research directions
This level of autonomous operation represents a significant leap from current legal AI tools that require step-by-step guidance and prompting.
Current adoption and future trajectory
Agentic AI is still in its early stages of legal adoption, but the trajectory is clear and the early results are striking. 77% of legal professionals expect agentic AI to be central to their workflow by 2030, according to the 2026 AI in Professional Services Report.
The disconnect many firms experience comes from experimenting with generic AI tools that lack the legal training and professional standards required for actual practice. Fiduciary-grade AI delivers significantly higher efficiency gains because it’s built specifically for legal workflows.
The professional services challenge
Professional services require a level of accuracy, consistency, and domain expertise that generic AI tools cannot provide. Legal research demands understanding of citation standards and legal reasoning. Tax preparation requires knowledge of complex regulations and compliance requirements. Investigation work needs sophisticated data analysis and relationship mapping.
This is where fiduciary-grade agentic AI makes the difference. At Thomson Reuters, our legal AI is refined by trusted legal professionals. This specialized training ensures that AI recommendations align with professional standards and best practices. Importantly, agentic AI doesn’t replace professional judgment—it amplifies it, maintaining human oversight for critical decisions while automating routine tasks and analysis.
Why human-in-the-loop isn’t just best practice
Learn more about human oversight in legal AI and what it matters.
Read blog ↗Preparing for what’s next
Organizations that start with agentic AI today will be best positioned for future innovations. The key is building a foundation of AI literacy, workflow integration, and human-AI collaboration.
For legal professionals, this means:
- Assessing your current AI readiness and needs
- Identifying pilot use cases with high impact potential
- Evaluating professional-grade AI solutions
- Developing an implementation timeline and success metrics
- Beginning to build internal AI expertise and capabilities
Gain your competitive edge
Agentic AI is more than a technological upgrade—it’s a competitive necessity. Organizations that embrace AI for legal professionals will deliver faster, more accurate, and more comprehensive services to their clients.
CoCounsel Legal is already implementing agentic capabilities that autonomously plan and execute multi-step legal tasks. From discovery workflows to comprehensive legal research, CoCounsel Legal is designed to amplify your expertise, not replace it.
Learn more about how CoCounsel Legal’s agentic AI can transform your practice while keeping you in control of the process.
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