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For legaltech startups

Revenue infrastructure for legaltech startups

Law firms buy on trust and referral, not on a sequence. The job of outbound here is one credible conversation with the person who decides.

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The account that matters in legaltech is the firm, and what qualifies it is the kind of law practiced and how many lawyers practice it. Both are published on the firm's website and almost nowhere else in a form you can filter on.

So the build reads websites. One row per firm, a column that pulls practice areas, another that counts attorneys on the team page, and a contact lookup for the managing partner or administrator that runs only after a firm passed the filter.

Who this is for
Seed to Series A legal software companies: practice management, document automation, intake, billing, or research. Four to fifty people, sold mostly by the founder.
What it looks like today
Firms are classified by practice area and attorney count, and neither is a field you can buy. What you can buy is a list of law firms, the least useful cut of a market where a two person practice and a forty lawyer firm need different products.
What changes
Practice area and attorney count come off the firm's own site as columns. The buyer is whoever runs the business side, and the lookup asks for that role rather than one title string.

Example searches

Ask for it the way you'd say it

Every search below runs on the same hosted Tables, with the cost previewed before anything is spent.

  • Firms by practice, not keyword

    find law firms in florida whose website lists immigration as a main practice area

    Practice areas arrive as an extracted list, so a firm doing immigration on the side sorts apart from one that specializes.

  • Size from the team page

    count the attorneys listed on each firm's team page and put it in a column

    The count comes back with the page it read, which makes an outlier something to check rather than delete.

  • The business decision maker

    find the managing partner or firm administrator at each of these firms with an email

    Firms under ten lawyers answer from the managing partner; above that an administrator usually owns the software decision, which changes the opening line more than it changes the address.

Plays

Three motions you can run this week

Each one is a chain of Oxygen primitives — the same hosted objects your workspace already has, composed.

  • Segment by practice and size

    A firm list split into the segments your product actually serves today.

    1. Tables
    2. Records
    1. 1Scrape each firm site and extract practice areas and attorney count.
    2. 2Band the rows, then promote only the segments you can serve right now.
    oxygen tables promote

  • Reach the business side

    The partner or administrator who owns software decisions, not a general inbox.

    1. Tables
    2. Records
    3. Sequences
    1. 1Run the email waterfall on the filtered rows and verify before enrolling anyone.
    2. 2Send a short cadence from a domain you own, at a pace that suits a firm.
    oxygen verify email

  • Referrals recorded like pipeline

    Warm introductions tracked beside cold accounts instead of in a notebook.

    1. Records
    2. Messages
    3. Dashboards
    1. 1Log every introduction and conversation as activity on the firm record.
    2. 2Read one funnel view that covers referral and outbound together.
    oxygen dashboards summary

Capabilities

What you get

  • Segments a database cannot sell you

    Practice area and attorney count are extracted from the firm's own pages, which is the only place those facts are published reliably.

  • One record per firm

    Partners, administrators, referrals, and replies all attach to the firm, so the account stays coherent even when three people are involved in one deal.

  • A cadence that fits the audience

    Sequences own enrollment, sender rotation, and suppression, so you can run slow, low volume outreach without a spreadsheet tracking who got what.

  • Free while you build

    Tables, the CRM, workflows, and drafts are unmetered. Enrichment and AI columns draw credits and preview their cost before anything runs.

Instead of

The stack this replaces

Native, on one contract and one credit balance — not another tab wired to the last one.

  • Clay
  • Apollo
  • Lemlist
  • HubSpot
  • Airtable
  • Zapier

Data sources

What the data actually comes from

Every value lands with its provider and cost recorded on the cell.

  • Op

    Open Web Ninja

    Business listings by city and category, the fastest way to enumerate firms across a region.

  • Serper

    Search results for firms that rank well on their own site but never appear in a listing directory.

  • Blitz API

    Resolves the managing partner or administrator rather than a shared information address.

  • LeadMagic

    Covers the smaller firms where the first lane finds nothing usable at all.

Run these on Oxygen's managed credits, or connect your own provider keys and pay the vendor directly — the same columns, the same runs, the same provenance either way. See every integration.

Limits

Where this stops

  • Attorney counts scraped from a team page go stale and sometimes include of counsel or paralegals. Treat the number as a band rather than a fact, and re-read the page before a large campaign.

FAQ

Questions people ask first

Can we filter firms by practice area?
Yes, by reading their site rather than trusting a category field. The extraction returns the practice areas a firm advertises itself, which is closer to how they will describe themselves on a call.
Who is the buyer at a small firm?
Usually the managing partner, and above ten lawyers often a firm administrator or office manager. The lookup asks for the business owner of the decision and records which role it found.
Will cold email work in this market?
In moderation. Volume outreach is the wrong instrument for law firms. A small, well segmented list with a specific opening and a phone follow up is what this stack is set up to run.
Do we need a CRM as well?
No. Records is the CRM, holding firms, contacts, activity, and deals. If you already run one, two way sync keeps both aligned instead of forcing a migration before you can start.
How do we keep referrals out of a cold sequence?
Suppression is workspace wide. Add a firm or a person once and every sequence skips them, so a warm introduction is never followed days later by an automated first touch.
What does it cost to test this on one segment?
Less than you would expect, because the build itself is free. Scraping firm sites, extracting practice areas and attorney counts, and finding an address are the metered steps, and each run previews its scope and ceiling, so you can size one segment before committing to a region.

Put your GTM motion on one stack

Sign up, get a working workspace with a one-time credit grant, and run the first play end to end without wiring five tools together.

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