Artificial intelligence is no longer a novelty in legal operations. Most legal departments have experimented with AI-powered contract drafting, summarization, or research tools. The organizations seeing the greatest value today, however, are moving beyond individual tools and embedding AI into end-to-end workflows.
During the final installment of the Practical AI for Legal Operations webinar series, host Dana Centola led a conversation about the next phase of legal AI adoption. In “AI in Action: Real-World Strategies to Simplify and Scale Legal Workflows”, legal operations professionals shared practical examples of how their organizations are moving beyond standalone AI tools and embedding AI into workflows that support analysis, decision-making, and operational efficiency.
What is the next phase of legal AI adoption?
The next phase of legal AI is workflow orchestration: moving from task-level automation to AI that supports entire business processes from end to end.
Early AI adoption in legal often focused on individual productivity gains when summarizing documents, drafting content, etc. While these capabilities delivered value, they were generally disconnected from broader business processes.
Today, leading legal organizations are thinking differently. Rather than automating one task at a time, they are looking at entire workflows and identifying where AI can remove friction. The objective is to move work through the organization more efficiently while ensuring that the right people remain involved at the right moments.
Why should legal AI initiatives start with business outcomes?
Successful legal AI initiatives begin with a clearly defined problem and measurable outcome, not with the technology itself.
Many organizations are eager to experiment with new AI capabilities, but the legal teams seeing the strongest results take a more disciplined approach. They define the desired outcome, determine what success looks like, and identify how they'll measure results before introducing AI into the process.
The speakers noted that the best candidates for early AI workflows often share common characteristics:
- The work is repeatable.
- Inputs are relatively consistent.
- The desired outcome is clear.
- Success can be measured.
When those elements are in place, organizations can more easily evaluate performance, refine workflows, and demonstrate return on investment.
How does human judgment fit into AI-powered legal workflows?
As AI takes on a larger role in legal workflows, trust and accountability become increasingly important.
While the speakers discussed a variety of AI use cases, both emphasized that humans remain responsible for final decisions, risk assessments, and external communications. Current deployments generally use AI to gather information, generate drafts, analyze content, and recommend actions, while legal professionals retain authority over the final outcome.
This approach reflects a broader philosophy emerging across legal operations. AI can accelerate work and improve efficiency, but accountability cannot be delegated. Strategic legal judgment, risk management, and business decision-making continue to require human oversight.
What comes after content generation? The shift to operational intelligence
The next wave of legal AI is moving beyond content generation toward operational intelligence.
Perhaps the most compelling insight from the discussion was how quickly legal AI is evolving. Areas such as stakeholder management, status reporting, information synthesis, project coordination, and business operations support were highlighted as potential growth areas over the next year. These activities consume a significant amount of time within legal organizations today, yet many remain largely manual, making them prime candidates for automation.
The path forward for legal AI
The future of legal AI is not defined by standalone assistants or isolated use cases. It is defined by workflows that combine technology, process, and human expertise to help legal teams operate at greater scale and strategic impact.
To dive deeper into the insights and expertise shared by our expert guests, watch the full webinar.