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Artificial Intelligence

GenAI vs. Agentic AI: The difference every law firm should understand

28 Sep 2026

Highlights

  • GenAI reacts to prompts, while agentic AI can plan, execute, and evaluate multi-step tasks independently.
  • The strongest legal AI setups pair agentic orchestration with GenAI content generation, but human oversight remains essential.
  • About half of UK legal organisations are already using or considering agentic AI, making it worth understanding now.

Generative AI has already landed in many legal practices, with 61% of UK legal professionals now using it at work, up from 46% just last year. Now agentic AI is emerging as the next major shift, moving beyond the drafting and summarising that GenAI does so well.

Is agentic AI a replacement for the GenAI tools you already use, or a layer on top of them? And what does “agentic” even mean once you strip away the marketing? Here’s what’s worth understanding before you evaluate a solution.

 

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GenAI vs. agentic AI: Know the difference


How agentic AI actually works


Where agentic AI is already earning its keep


Why this matters now

 

GenAI vs. agentic AI: Know the difference

GenAI reacts. You give it a prompt, draft a memo, summarise a judgment, redline a clause, and it produces an output. It’s a highly capable assistant, but it needs a human in the loop for every step.

Agentic AI decides and acts. It can break a goal into subtasks, execute them in sequence, and evaluate its own progress without a new prompt at each stage. In practice, GenAI might draft a client memorandum from a template and recent case law. Agentic AI can then file that document into the matter, schedule the follow-up meeting, and update the matter record, all without someone manually driving each step.

Neither replaces the other. The strongest setups use agentic AI as the orchestration layer, calling on GenAI capabilities where content needs to be generated. And critically, both still need human oversight, reviewing outputs and verifying tasks were completed correctly remains the solicitor’s responsibility, not the AI’s.

How agentic AI actually works

Fiduciary-Grade AI™ is trained on content relevant to legal work, so it can self-evaluate, learn, and ask clarifying questions rather than just executing blindly. Over time, it becomes familiar with a team’s own patterns. As it picks up on those recurring patterns, it starts anticipating what’s needed next and preparing for it, rather than waiting to be told each time.

That’s the real shift from simple automation. Agentic AI performs tasks dynamically and sequentially in complex situations, not just on a fixed script. In practice, that might look like a system that independently researches relevant regulations or case law, drafts a document based on those findings, identifies potential pitfalls, and revises the draft accordingly, all as one continuous chain rather than a series of separate requests.

Where agentic AI is already earning its keep

Law firms are using agentic AI to analyse, plan, organise, draft, summarise, compare, and advise. A few concrete examples of where it’s already delivering value:

Agents can draft and review contracts, flag clauses that deviate from precedent, and track redlines across multiple versions. In corporate and commercial work, they coordinate approvals across multiple stakeholders and monitor market practice trends. In risk and compliance, they analyse internal policies against external regulatory data to flag potential issues early. And working alongside GenAI tools, agents can compare contract versions in real time and help auto-draft witness statements, saving time compared to manual cross-referencing.

The upside is measurable, not just theoretical. AI tools have the potential to save lawyers nearly 240 hours a year, and 56% of private practice lawyers using AI say they now redirect that saved time to billable work.

Why this matters now

About half of UK legal organisations are already using or actively considering agentic AI. That’s not a reason to panic, but it is a reason to get informed today. Firms that understand the fundamentals now are better positioned to spot where agentic AI could genuinely help, rather than reacting to it later.

That’s exactly where the full e-book, Agentic AI 101: What UK legal professionals need to know, picks up. Read the e-book and learn how to evaluate a solution, the questions worth asking about security and compliance, and how to think about measuring ROI once you’re ready to move from curiosity to action.

Agentic AI 101

Agentic AI 101

What UK legal professionals need to know

Read e-book ↗

 

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