NeedleSearch delivers a standard of accuracy in legal research that conventional tools cannot match. Every finding is traced to a named source. Every claim is verified before it reaches the attorney.
Claude and ChatGPT are powerful — but they work with what you give them. Paste a clause, get a response. Paste a 40,000-page data room? You can't. And even when you manage to upload something, there's no guarantee the answer maps to a real page in a real document.
NeedleSearch is the layer between your document library and AI reasoning. Upload your files once. Multiple agents search the full collection in parallel and return a structured answer — with every claim traced to a specific page before it reaches you. Nothing is inferred from training data. Everything comes from your documents.
Each finding is attributed to a specific document and page number. The original passage appears on hover. The full document opens on click.
The research process is traceable at every stage. The platform conducts the search. The attorney examines the sources and reaches the conclusions. That division is deliberate.
NeedleSearch is a dedicated document intelligence platform — not a UI layer over an LLM. Here is what that difference means in practice.
Multiple agents search your document collection simultaneously, each pursuing a different angle of the query. Findings are merged and verified before delivery.
Every claim is checked against its source before the answer is compiled. If a finding cannot be traced to a specific page in your documents, it is excluded.
Designed for collections of millions of documents. Entire data rooms, case archives and regulatory libraries load as a single searchable collection.
Scanned documents, mixed PDFs and image-based files are processed automatically. The same search quality applies regardless of how the document was created.
Dense vector search and lexical search run in parallel on every query. Legal terms, defined clauses and cross-references surface regardless of how the question is phrased.
The full platform runs on your own servers or private cloud. Documents are encrypted at rest, inference runs locally, and air-gapped operation is supported.
NeedleSearch exposes a full MCP server and REST API. Any MCP-compatible agent — Claude, ChatGPT, or your own — can use it as a tool without additional integration work.
NeedleSearch can run entirely inside your own infrastructure. Encrypted at rest, processed locally, never transmitted. For the most sensitive collections, air-gapped operation is supported.
Request private deployment →Standard search tools return a list of documents that may contain an answer. NeedleSearch returns the answer itself, with each claim traced to the passage that supports it.
| NeedleSearch | Keyword search | ChatGPT | Westlaw | |
|---|---|---|---|---|
| Searches your uploaded documents, not the internet | ✓ | ✗ | ✗ | ✗ |
| Follows legal reasoning, not keyword overlap | ✓ | ✗ | ✓ | Partial |
| Every claim linked to exact page and passage | ✓ | — | ✗ | Partial |
| Cannot fabricate a citation | ✓ | — | ✗ | ✓ |
| 40,000-page data room in a single query | ✓ | ✗ | ✗ | — |
| Encryption keys belong to you, data stays in EU | ✓ | — | ✗ | — |
| Open source passage in one click | ✓ | ✗ | ✗ | Partial |
Choose depth and speed. The citation requirement is the same across both — the system delivers nothing it cannot trace to a specific passage in your documents.
Parallel research threads cover the full document collection from multiple angles. A dedicated verification pass checks every finding before the answer reaches you.
A single agent conducts a focused search and returns a cited answer in seconds. Same attribution standard — when you need a result now, not in a minute.
The platform exposes a full REST API and an MCP server. Search, document access and agentic research are available to any application or AI agent holding an API key. Full OpenAPI documentation is included at no additional cost.
Enterprise pricing is available on request.
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Forty thousand pages. One afternoon. Every finding cited.