Upload files and scans, then ask questions in plain language. NeedleSearch searches your whole archive, checks every answer against its sources, and can run securely on your own servers or through an API.
A data room should not become a scavenger hunt. Upload it once and ask a plain-language question. NeedleSearch searches the full collection, connects the relevant facts and returns an answer you can check against the original page.
No special query language. Just your documents, your question and a clear trail back to the evidence.
Upload contracts, scans, PDFs, tables and more. NeedleSearch reads every page, including image-based files, then organises the collection so it can be searched by meaning - not just by an exact word. Your files are encrypted from the moment they arrive.
Write it as you would say it to a colleague. In seconds, get a direct answer and the exact page behind it. Need a quick check or a deeper review? Choose the pace. One rule stays the same: answers come only from your documents.
Each finding names the document and page it came from. Preview the original passage, then open the full document in one click.
NeedleSearch handles the hunt. You examine the evidence and make the call. That is exactly how legal research should work.
Most AI tools produce a polished answer in one pass. NeedleSearch investigates first: it searches, checks the evidence, and only then writes an answer with links to the source material.
One pass, one prediction. No independent check and no source trail.
The agent searches several routes, checks what it finds, and returns an answer linked to the evidence.
Same folders. Same questions. Same verified answers. Then we checked every result against the original passage - because a benchmark is only useful when the evidence holds up.
| NeedleSearch multi‑agent |
NeedleSearch single‑agent |
Claude Cowork | Semantic search | Keyword search | |
|---|---|---|---|---|---|
| Overall | 98% | 92% | 69% | 55% | 45% |
| <100 files | 97% | 91% | 79% | 50% | — |
| >100 files | 98% | 93% | 60% | 60% | — |
| >30,000 files | 91% | 89% | — | 1% | — |
Multi-agent smart-search holds 89–98% accuracy from 85 to over 30,000 files. Claude Cowork is the only file-reading, non-indexed tier tested — and the only one that drops on the larger collection. It simply can't read everything in time. Index-based approaches, like RAG and smart-search, don't degrade with scale. Note: the two collections used different question sets, so only the ranking of systems within each collection is meaningful — not the size of the gap between collections. Keyword search reflects retrieval recall (150 reformulated queries, exact-fact match), a different metric from answer accuracy, shown here for reference only.
Hundreds, thousands, sometimes millions of files can stand between a legal team and one decisive clause. The pile grows. The review still takes human hours.
Ordinary search gives you a list of files, not the answer. A general AI chatbot cannot see your private archive. And the decisive story is often scattered across documents no one has read together.
Miss one relevant document, and a routine review can turn into a costly legal risk.
A good legal answer is more than fluent text. NeedleSearch is built to find, compare and verify what is inside your documents - then make the proof easy to inspect.
Several research paths run at once, each looking at the question from a different angle. Their findings are brought together and checked before you see them.
A claim without a traceable page does not make the final answer. You get links to the source, not a request to take the AI on faith.
From a case folder to a data room with millions of files, the collection works as one searchable body of evidence.
Scans, mixed PDFs and image files are read automatically, so an important fact is not lost just because it was not born digital.
NeedleSearch looks for both exact legal language and the underlying idea, so defined terms, clauses and cross-references are easier to surface.
Run NeedleSearch on your own servers or private cloud. Documents stay encrypted, and air-gapped operation is available for sensitive work.
Connect NeedleSearch to Claude, ChatGPT or your own agent through MCP and REST API - without rebuilding the research layer.
Run NeedleSearch inside your own infrastructure. Your documents stay encrypted and local; for the most sensitive collections, the platform can operate without an internet connection.
Discuss private deployment →Pick the mode that fits how you plan to use NeedleSearch.
For the questions that deserve a thorough investigation. Several research paths search the whole collection, then a separate pass checks the findings before the answer reaches you.
For the answer you need right now. One focused research pass returns a cited result in seconds - with the same requirement to show where it came from.
NeedleSearch can power your product, workflow or AI agent through REST API and MCP. With an API key, your tools can search documents, retrieve evidence and run a full research task - all with the same source trail.
One question. The right evidence. A clear way to check it.