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Wave 2 legal AI without an innovation team

You can adopt legal AI without an innovation team by treating it as an ordinary operations change: choose two or three repeated workflows, write a one-page policy, name an owner, pilot for a month and review results. The 'second wave' is less about new technology than about making AI routine, supervised and measurable.

By Raghav Handa · Updated 17 October 2026 · 3 min read

What we mean by wave two

This is our framing, not an industry standard. Wave one was people trying chatbots on legal questions and finding out where they fail. Wave two is quieter: firms put AI into the middle of existing workflows with rules around it. Large firms staff innovation teams for that. A small firm needs the same discipline in lighter form.

The one-person innovation team

  1. 1

    Name an owner

    One partner or senior lawyer is accountable for AI use. It can be you.

  2. 2

    Choose workflows

    Pick two or three: for example, summarising incoming correspondence, drafting client updates, preparing meeting notes.

  3. 3

    Write one page

    Approved tools, what data may be entered, who reviews outputs, how problems are reported.

  4. 4

    Pilot

    Run for 30 days. Record time saved after review and any errors.

  5. 5

    Decide

    Keep, adjust or stop each workflow. Then repeat.

Make the data ready first

AI works better and is safer when your information is structured. If matters, deadlines and tasks are scattered across inboxes and folders, there is little for any tool to work with. Putting them in clear databases is the unglamorous step that makes later AI useful. Tools like Notion's Custom Agents, introduced in February 2026, operate on workspace data, so organisation comes first. See https://www.notion.com/help/custom-agents.

That is what a template like LawyerOS Pro with AI ($39, one-time) is for: structured databases and a Custom AI Agents page. It does not supply an AI model; Notion AI features need a Notion plan or add-on that includes them.

What to avoid

  • Buying several tools at once.
  • Letting each person adopt their own tools with no list of approved ones.
  • Measuring enthusiasm instead of time saved.
  • Skipping the review step because the first few outputs were good.

Frequently asked questions

Do small firms need an AI policy?
A short written policy is wise. It clarifies approved tools, data rules and review, which supports your supervision duties.
Who should lead AI adoption?
A named lawyer with authority over how the firm works.
How long should a pilot run?
Around a month is enough to see real use and errors.
Where do I start?
With a repeated, low-risk task and a clear way to measure time saved.

Sources

About the author

Raghav Handa

Raghav Handa trained as a lawyer, then spent years building legal technology, from enterprise legal products to custom systems for law firms.

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