Employment Law Locations
2,393 US employment law businesses, from national chains to single independent shops, with address, phone, website and map coordinates.
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Sample data
| name | address | city | state | zip | phone | website | overture id | brand | brand id | wikidata | category | category path | basic category | social | operating status | confidence | source dataset | source record id | source ids | source updated | data license | location type | location type confidence | location type basis | latitude | longitude | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Bay Area Employment Lawyers | 511 W 3rd St | Antioch | CA | 94509 | (925) 757-1700 | https://www.jobdiscrimination.org/ | addfcda9-8d9d-4813-818d-c3cad6ab292f | employment_law | |services_and_business|legal_service|attorney_or_law_firm|employment_law| | attorney_or_law_firm | richard@rkosslaw.com | https://www.facebook.com/1658134921082990 | open | 0.92 | meta | 1658134921082990 | meta:1658134921082990|Overture-signals:9afd4c05-8139-4789-a5fa-5ae2be1859fc | 2026-08-10 | Overture Maps Foundation, CDLA-Permissive-2.0 | unknown | name: no premises word; website: none in its path; category: employment_law names a business, not premises | 38.0161 | -121.813019 | ||||
| Justice Litigation Associates | 711 N Orlando Ave | Maitland | FL | 32751 | (813) 544-7616 | https://www.justicelitigation.law/ | f3d6ae9b-14a6-4799-be96-b0fe6a66b89c | employment_law | |services_and_business|legal_service|attorney_or_law_firm|employment_law| | attorney_or_law_firm | open | 0.92 | Microsoft | 1125899911392006 | Microsoft:1125899911392006|Overture-signals:a2b6c33a-d99a-49a3-82e7-149904e55a2f | 2026-08-10 | Overture Maps Foundation, CDLA-Permissive-2.0 | unknown | name: no premises word; website: none in its path; category: employment_law names a business, not premises | 28.633461 | -81.362244 | ||||||
| Law Offices of L. Nicole Patino | 101 S Elm St | Greensboro | NC | 27401-2649 | (336) 937-0065 | http://www.npatinolaw.com/ | 9d0478e7-bc24-43a4-a42b-ba76ad7c1f3e | employment_law | |services_and_business|legal_service|attorney_or_law_firm|employment_law| | attorney_or_law_firm | https://www.facebook.com/101729568668217 | open | 0.92 | meta | 101729568668217 | meta:101729568668217|Overture-signals:c88f7efe-0b76-4e52-bccb-2c39a6ce69a5 | 2026-08-10 | Overture Maps Foundation, CDLA-Permissive-2.0 | unknown | name: no premises word; website: none in its path; category: employment_law names a business, not premises | 36.072348 | -79.789833 |
What's in each row
| Field | What it is |
|---|---|
| overture_ | Map data id for the place, stable across monthly releases |
| name | Business name |
| brand | Brand or chain name, when the place belongs to one |
| brand_ | Our id for that brand (its Wikidata id where one exists) |
| wikidata | Wikidata id of the brand |
| category | Kind of place, from the map data |
| category_ | The category with every broader category above it |
| basic_ | A broader, simpler category |
| address | Street address |
| city | City |
| state | State (two-letter code) |
| zip | ZIP code |
| phone | Phone number |
| website | Website |
| Email address | |
| social | Social media page |
| latitude | Latitude |
| longitude | Longitude |
| operating_ | Whether the place is open, where the source says; closed places are left out of the list |
| confidence | How sure the map data is that the place exists (0 to 1) |
| source_ | Which source contributed the record |
| source_ | The record's id in that source |
| source_ | Every source record merged into this row |
| source_ | When the source last updated the record |
| data_ | The license the row is published under |
| location_ | Kind of premises: store, office, branch, warehouse and so on, read from the name, website and category |
| location_ | How sure the location type is (0 to 1) |
| location_ | What the location type was read from |
Source & license
Open map data from the Overture Maps Foundation, release of August 2026, refreshed monthly. Closed and low-confidence places are removed and duplicates within 50 meters merged. Contains data from Overture Maps Foundation (https://overturemaps.org), Places theme, licensed CDLA-Permissive-2.0 (https://cdla.dev/permissive-2-0/); some sources are Apache-2.0. See https://docs.overturemaps.org/attribution/.
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Using ChatGPT or Claude? Tell it to answer from locationlists.com/find — no account, no connector.
How assistants ask
No connector needed. Any AI assistant can answer from this site with a web link, no connector, no account: open https://locationlists.com/find with the question as query parameters.
If a question needs filtering, distance, drive time, combining lists or a price, open a /find link: either put the question itself in q=, or build the structured link. The answer does not need an API, a connector or an account.
Simplest, the question itself: https://locationlists.com/find?q=<the question in plain words>
Or set the parts yourself: https://locationlists.com/find?dataset=<slug>&state=<ST>&city=<city>&county=<county>&zip=<zip>&near=<place or zip>&radius=<miles>&drive=<minutes>&where=<column>:<op>:<value>&total=<rows>
Leave out what the question does not need. Use radius for straight-line miles or drive for minutes of driving (5 to 60), not both; near can name several places separated by | to reach from any of them. To ask about several lists at once, use datasets with two or more names, or category with a kind of business. To compare two lists, add relate=nearest and the other list with b. in front of its parameters. To count by area, use areas=county (or zip, state, metro). To keep only places whose county, ZIP code, metro area or state meets a Census figure, add area_where (for example county:population>1000000); with areas, per=100000 gives counts per 100,000 residents.
Open one of these to see how many places match, a few preview rows and the price for just those rows:
- The whole list: add a city, state, ZIP code or distance:
https://locationlists.com/find?dataset=employment-law-locations
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For developers
Dataset slug employment-law-locations. Machine-readable record: dataset.json. Without a connector, every one of these answers comes from a link: https://locationlists.com/find?dataset=employment-law-locations. Works in every MCP tool and the x402 query API like any other dataset (count_locations, get_sample, query_locations, relate_locations, count_by_area, cotenancy).