Load your local archive once, and search decades of it in plain language — every answer linked back to the page it came from.
Every Phase I Environmental Site Assessment has to review a property's past (ASTM E1527-21). The fire-insurance maps come from a data vendor, but the local record (old newspapers, permits, council minutes, city directories) is still searched by hand. Miss a buried tank, an old dry cleaner or a factory fire, and it costs far more than the report.
Every mention of 400 Main Street before 1980
Was there a gas station, a fire or a dry cleaner on this block?
Who owned this parcel, and what did they do there?
Load scans of local newspapers, permits, council minutes and city directories for the area you're assessing.
AI reads old print and handwriting, in any language, and flags pages it can't make out rather than guessing at them.
Records are indexed by meaning along with the addresses, owners, uses and dates they mention.
Ask about an address or a block in plain language and get an answer cited to the exact source page.
Load your local archive once and search it in plain language, across decades
Every answer linked to the exact page it came from, ready to cite in the report
A timeline of the site built from the records themselves
Works alongside your map and aerial-photo vendors, not instead of them
Each account's documents sit in an isolated database and storage bucket, enforced by row-level security — no other customer can see or search them.
Encrypted in transit (TLS 1.2+) and encrypted at rest.
Your documents are never used to train AI models — we instruct our providers not to train on your data.
Documents are stored in the United States.
Deleted on request, and removed within 30 days of an account closing.
A published list of every subprocessor that touches your data, with its role and location (legal.archivelm.com/legal/subprocessors on the main site).
We are not yet SOC 2 certified. We'll share our security overview and subprocessor list on request.
| Plan | What's included | Price |
|---|---|---|
| Try it | ||
| Explorer (Free) | 25 credits/month — enough to load your own hardest pages and see what it finds | $0 |
| Plans | ||
| Researcher | Individual plan — 100 credits/month, semantic search, AI Librarian chat, Research Lab, unlimited exports | $15/mo |
| Team | Up to 5 seats — 420 credits/month, all research features | $49/mo |
| Department | Up to 15 seats — 2500 credits/month, priority support | $249/mo |
| Large backlogs | ||
| Project pricing | A one-off bulk digitization project for a large backlog, priced per page instead of by plan | from 6¢/page at volume |
A dense newspaper page uses more credits than a book or letter page, because it takes more work to read. Ask us which plan fits your backlog before you commit.
You bring the documents — old newspapers, permits, council minutes and city directories you already hold or can obtain. ArchiveLM doesn't supply source records; it reads, indexes, and makes searchable what you load into your own account.
It's flagged, not guessed. Historical scans degrade, fade, and get handwritten over — when confidence is too low to trust, the page is marked for review instead of silently producing a confident-looking answer that isn't on the page.
Yes. Semantic search works across languages — an English query can surface a foreign-language record for an immigrant-owned business by meaning, not just keyword match, and the AI Librarian can answer in English while citing the source-language passage it relied on.
Row-level security isolates every account's documents in their own database rows and storage bucket. No other customer can see or search your collection, and nothing you upload is used to train AI models.
The free tier includes 25 credits a month, enough to load a handful of your hardest pages and see exactly what it finds and where it fails. Paid plans start at $15/month; large one-off backlogs are priced per page instead.
No — it sits alongside them. Fire-insurance maps and aerial photos tell you what structures existed and when; the local newspaper and permit record tells you what actually happened there (a fire, a spill, a change of use). ArchiveLM searches the second kind, not the first.
Send up to 50 pages of your own local records for a site you're assessing. We'll run them and show you exactly what ArchiveLM finds, and where it can't read a page.
ArchiveLM is in private beta. We review each request and typically respond within 1–3 business days.