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Find Law Firm

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nostrband
find-law-firm

Use whenever the user wants to find, shortlist, vet, or enrich US B2B law firms — corporate, IP/patent, M&A and securities, employment, commercial litigation, regulatory/compliance, data privacy/cyber, real estate, and tax. Triggers on "find three boutique IP law firms in California", "shortlist M&A counsel for a Series-B fundraise", "patent prosecution for our hardware startup", or "pull contact info for these 10 law firm domains", even when described indirectly (outside counsel, cap-table review, GDPR/SOC2 oversight). Drives the ServiceGraph API (api.servicegraph.co) — a 100k+ US firm catalog filterable by industry, services, location, size, ratings. Skip personal/consumer legal services where the user is the end client (divorce, personal injury, criminal defense, family law, estate planning, wills) — the catalog is B2B-only. Also skip in-house GC hires, "is this NDA enforceable" DIY questions, non-US firms, individual freelancers.

Overview

Publishernostrband
RepositoryServiceGraph
Skill namefind-law-firm
Stars
61
Forks
7
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by nostrband on GitHub. Read the source before you install it.

Installation

Install the Find Law Firm AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/nostrband/ServiceGraph/tree/main/skills/find-law-firm
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/nostrband/ServiceGraph.git /tmp/ServiceGraph
mkdir -p .claude/skills
cp -r /tmp/ServiceGraph/skills/find-law-firm .claude/skills/find-law-firm
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Find Law Firm in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Find Law Firm on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Find Law Firm is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

find-law-firm

Drive the ServiceGraph API (https://api.servicegraph.co) to find, shortlist, and enrich US business-to-business law firms via the pro_services dataset.

The catalog is B2B-only. A historical audit dropped over half of high-rank "legal" firms because they served personal/consumer matters (divorce, personal injury, criminal defense, family law, estate planning). The remaining catalog skews toward corporate, IP, M&A, securities, employment, commercial litigation, regulatory, data privacy, real-estate transactions, and corporate tax.

Always pin industry:legal. Sub-areas of law are NOT separate tags — industry:legal is the most specific structured level — so practice-area specialization (IP, M&A, employment, securities, etc.) is a keyword substring search on firm text.

Any HTTP client works (curl, fetch, requests). Examples below use curl.

When NOT to use this skill

The single biggest failure mode is firing on consumer-personal legal asks. Refuse those — don't fall back to a partial filter.

  • Personal/family matters where the user is the end client: divorce, child custody, family law, estate planning, wills/trusts, personal injury, criminal defense, individual bankruptcy, immigration for the user themselves, landlord/tenant disputes.
  • DIY legal research: "is this enforceable?", "do I owe…?", "what does this clause mean?".
  • In-house counsel hires (GC, paralegal, contracts manager).
  • Non-US firms / individual freelancers / contract attorneys.

MCP server (preferred for authed calls)

If your harness has the ServiceGraph MCP server loaded (tools containing servicegraph), prefer those — OAuth 2.1 + PKCE keeps the token in the harness sandbox. Otherwise use the REST flow below.

API surface (dataset id: pro_services)

Every endpoint requires the bearer (Authorization: Bearer vk_…). No anonymous tier.

EndpointCostUse it for
GET /v1/datasets/pro_services/fields[?include_values=1]freeConfirm legal is in the industry value list.
GET /v1/datasets/pro_services/check?filter=…freeValidate filter.
POST /v1/datasets/pro_services/translate-intentfree{intent} → DSL filter + sanity count.
GET /v1/datasets/pro_services/search?filter=…&limit=freeBrief firm cards + per-row unlock hint + total.
GET /v1/datasets/pro_services/:apexfreeOne row brief; detail only if unlocked.
POST /v1/datasets/pro_services/unlocks10 credits / firm{apexes:[...]} ≤100; atomic; 30-day TTL on detail.
GET /v1/me/creditsfreeBalance.

Cost model. Discovery / validation / search / brief reads are free. Detail (url, phone, email, social, address, full platforms map) costs 10 credits per firm and lasts 30 days.

Note: service_provided tags are not populated for industry:legal in the current catalog (Clutch and similar directories don't break legal down further). Use barewords for practice areas.

Auth

vk_* API keys minted in the dashboard. Keep the token out of the LLM context — never read .env* into your context; dispatch via shell.

  1. Try the call first through a shell wrapper that sources .env.local:

    bash
    ( set -a; [ -f .env.local ] && . ./.env.local; set +a;
      curl -sS -H "Authorization: Bearer $SERVICEGRAPH_API_KEY" \
           'https://api.servicegraph.co/v1/datasets/pro_services/fields' )
  2. On 401 prompt the user:

    "Open https://servicegraph.co/profile/api-keys, create a key, and add SERVICEGRAPH_API_KEY=vk_… to .env.local here (or export it). Tell me when done. Please don't paste the key into chat."

  3. Retry after the user signals ready.

Filter DSL

GitHub-search-style.

filter   := orExpr
orExpr   := andExpr ("OR" andExpr)*
andExpr  := notExpr (("AND")? notExpr)*    # whitespace = implicit AND
notExpr  := ("NOT" | "-") notExpr | atom
atom     := "(" filter ")" | predicate
predicate:= IDENT op valueOrList | bareword
op       := ":" | "=" | ">=" | "<=" | ">" | "<"
valueOrList := value ("," value)*
value    := IDENT | NUMBER | tagAtEvidence
tagAtEvidence := IDENT "@" ("low"|"medium"|"high")
bareword := IDENT | NUMBER          # → keyword:<bareword>

Four rules that bite: AND binds tighter than OR (use parens); comma list = OR within one predicate; negation is -x or NOT x; bareword = keyword search (quote multi-word phrases).

Legal-flavored examples (validate yours with /check):

industry:legal state:CA patent
industry:legal state:NY,DE m&a
industry:legal employment
industry:legal securities ipo
industry:legal "data privacy" gdpr
industry:legal "commercial litigation" state:TX
industry:legal -company_size_signal:solo rating>=4 review_count_total>=20
industry:legal corporate startup

Practice area → keyword mapping (sub-areas are not structured tags):

User asks forAdd as keyword(s)
IP / patents / trademarkspatent, trademark, ip
M&A / mergers and acquisitionsm&a
Securities / IPO / capital marketssecurities, ipo
Employment law (employer-side)employment, labor
Commercial litigation / disputeslitigation, commercial
Regulatory / complianceregulatory, compliance
Data privacy / cyber / GDPR / CCPAprivacy, gdpr, ccpa, cyber
Real estate (commercial)"real estate", "commercial real estate"
Tax (corporate)tax
Corporate / formation / governancecorporate, formation, governance
Antitrustantitrust
Bankruptcy (corporate)bankruptcy
Immigration (corporate sponsorship)immigration

Identifying firms — apex

Firms are identified by their apex domain (dlapiper.com, not www.dlapiper.com/about).

Recipes

A. IP / patent firm in a state

User: "Three boutique IP law firms in California for hardware-startup patent prosecution."

GET /v1/datasets/pro_services/search?filter=industry:legal+state:CA+patent+-company_size_signal:large_50plus&limit=10
# Present, get pick of 3. "Unlocking 3 = 30 credits, 30-day TTL."
POST /v1/datasets/pro_services/unlocks
  { "apexes": ["firm-a.com", "firm-b.com", "firm-c.com"] }

B. M&A counsel for a fundraise

GET /v1/datasets/pro_services/search?filter=industry:legal+state:NY+m&a&limit=10

C. Securities / IPO experience

GET /v1/datasets/pro_services/search?filter=industry:legal+securities+ipo&limit=10

D. Indirect intent — "outside counsel for GDPR/SOC2"

User: "Our compliance is getting complex — we need outside counsel for GDPR, CCPA, and SOC2 oversight."

GET /v1/datasets/pro_services/search?filter=industry:legal+(gdpr OR ccpa OR privacy)+compliance&limit=10

Or use the intent translator:

POST /v1/datasets/pro_services/translate-intent
  { "intent": "outside counsel for GDPR/CCPA compliance and SOC2 oversight" }

E. Employment law for a tech employer

GET /v1/datasets/pro_services/search?filter=industry:legal+employment+tech+company_size_signal:medium_10_50,small_2_10&limit=10

F. Quality threshold + commercial litigation

GET /v1/datasets/pro_services/search?filter=industry:legal+commercial+litigation+state:TX+rating>=4&limit=10

G. BYO apex list — enrich domains

User pastes 8–20 law-firm domains:

  1. GET /v1/datasets/pro_services/:apex per domain — free brief (404 = not in catalog, no charge). A 404 often means the firm is consumer-focused (divorce, PI) and was filtered out of the B2B catalog.
  2. User picks N to fully enrich. POST /unlocks = 10×N credits, atomic, detail returned.
  3. Re-runs within 30-day TTL are free.

Gotchas

  • Always pin industry:legal. Without it, "patent" or "m&a" as keywords leak into marketing/IT meta tags.
  • Refuse consumer-personal legal asks. Divorce, personal injury, criminal defense, family law, estate planning, wills, individual immigration, personal bankruptcy — NOT in the catalog. Tell the user the catalog is B2B-only and suggest elsewhere (state bar referral, Avvo). Do NOT return a partial result hoping it's close enough.
  • industry:legal is the only structured handle. Practice areas are keyword-only. Multi-word areas split into ANDed barewords unless quoted ("commercial litigation" → one phrase).
  • Catalog skews toward mid/large B2B firms. Solo practitioners and <5-attorney shops are under-represented. For "boutique", exclude company_size_signal:large_50plus rather than requiring solo.
  • DIY/legal-research questions ("is this NDA enforceable?", "explain fair use") are NOT procurement.
  • Software-product comparisons (Ironclad vs DocuSign) are NOT procurement.
  • Briefs DO include apex, name, location, ratings. They DON'T include url, phone_primary, email_primary, legal_name, address_full, full platforms — those require an unlock.
  • not_found / not_in_dataset 404 = not in pro_services. Skip; not charged.
  • Unlock is atomic. N apexes either all charge (up to 10×N credits) or none on 402.
  • Within-TTL re-views are free (was_cached:true).

Errors

JSON envelope: {"error": {"code": "...", "message": "..."}}.

StatusCodeWhat to do
400filter_parse_errorposition included; fix and re-validate with /check.
400kind_in_filterStrip any kind: from filter.
400field_not_in_datasetDrop the disallowed field.
400invalid_apexRe-normalize.
401unauthorized / invalid_audienceRe-prompt for fresh vk_….
402insufficient_creditsneeded and balance; nothing charged.
404not_found / not_in_datasetSkip; not charged.
429rate_limitedHonor Retry-After.

End-to-end example

User: "Three boutique IP law firms in California that handle patent prosecution for hardware startups, ideally with at least a 4-star rating."

GET /v1/datasets/pro_services/fields?include_values=1
GET /v1/datasets/pro_services/check?filter=industry:legal+state:CA+patent+rating>=4+-company_size_signal:large_50plus
GET /v1/datasets/pro_services/search?filter=...&limit=10
# Present briefs. "Unlocking 3 = 30 credits, 30-day TTL."
POST /v1/datasets/pro_services/unlocks
  { "apexes": ["firm-a.com", "firm-b.com", "firm-c.com"] }
GET /v1/me/credits

Frequently asked questions

What does the Find Law Firm AI skill do?

Use whenever the user wants to find, shortlist, vet, or enrich US B2B law firms — corporate, IP/patent, M&A and securities, employment, commercial litigation, regulatory/compliance, data privacy/cyber, real estate, and tax. Triggers on "find three boutique IP law firms in California", "shortlist M&A counsel for a Series-B fundraise", "patent prosecution for our hardware startup", or "pull contact info for these 10 law firm domains", even when described indirectly (outside counsel, cap-table review, GDPR/SOC2 oversight). Drives the ServiceGraph API (api.servicegraph.co) — a 100k+ US firm cat...

Why use Find Law Firm on TypingMind?

Because you install it once and use it with any model. Find Law Firm is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Find Law Firm in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/nostrband/ServiceGraph/tree/main/skills/find-law-firm. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Find Law Firm?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Find Law Firm?

As many as you like. As long as a model supports skills, you can use Find Law Firm with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Find Law Firm AI skill free?

Yes. It is published on GitHub by nostrband under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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