Private documents. Page-cited answers.
Find the page that wins the case.
Leapable turns your private documents into an AI-searchable workspace — every answer cites the exact page in the original.
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Claude
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Cursor
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ChatGPT
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VS Code
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Windsurf
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Zed
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Continue
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JetBrains
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Amazon Q

Master AI context engineering with Leapable
The complete walkthrough. Install in seconds, turn any of 21 messy file types into clean, private vaults, then fill your AI's context window with only what matters — search a vault 20 to 100 times so the right signal lands and nothing from another case ever poisons it. Every answer cites the exact document and page it came from, so you can verify everything. This is the method that makes Leapable work.
See Leapable turn 600 court PDFs into a winning case plan
Watch the full walkthrough. Drop a 600-document court production into a private vault, then ask your AI for the intelligence, the strategy, even the game theory to win. Every claim it makes cites the exact page it came from — so you can trust it, and prove it. This is the whole product in one video.
The gap Leapable fills
Every AI agent today is great at writing. They're terrible at answering from YOUR private documents — which is the question you actually needed answered.
Leapable is what's missing from your AI: a verifiable workspace for the documents that determine your decisions.
Built for whoever's answers must be defensible:
Litigation
Find the page that wins the case across 100,000+ pages. Bates-citable.
For litigationResearch
Read 10,000 papers in a weekend. Every claim cites a paper, page, and paragraph.
For researchM&A / PE
IC memo from VDR in hours, not weeks. Every figure cites the source.
For dealmakersInvestigators
Crack 100,000 leaked docs in days. Every connection cited to the page.
For investigatorsClaims
Adjuster review in 2 hours, not 5 days. Every entry cites the medical record.
For claimsTeams
Your company docs, instantly askable. Local-first.
For teamsDon't see yours? Workspace mode adapts to any private document set. See all use cases
Install in under 60 seconds
One-click installer · native runtime · configures your AI clients automatically
Sign in after install to activate 5,000 starter credits for cloud OCR and expert asks.
From install to cited answers in three steps
Native setup first, then your private documents become askable from the AI clients you already use.
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Install Leapable
Free. 60-second install. Auto-configures 10 MCP client configurations: Claude Desktop, Claude Code, Codex (ChatGPT), Cursor, VS Code, Windsurf, Continue.dev, Zed, JetBrains, and Amazon Q.
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Drop in your documents
21 file types accepted: PDF, DOCX, DOC, XLSX, XLS, PPTX, PPT, images, HEIC, TXT, CSV, and MD. Local for .md/.txt. Transient cloud OCR for PDFs.
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Ask via your AI client
Open Claude or Cursor. Type your question in natural language. Leapable retrieves, reranks, and cites. Every answer links to the exact page; click any citation and the paragraph is highlighted in source.
Every answer carries its receipts
Answer → excerpt → page → source → hash
Leapable links every answer through a verifiable provenance chain back to the exact passage, page, and source file — chain-hashed so you can prove where each claim came from.
Competitor check
Compare Leapable with Harvey, CoCounsel, and Elicit
| Criterion | Harvey | CoCounsel | Elicit | Leapable |
|---|---|---|---|---|
| Local-first | × | × | × | ✓ |
| MCP-native | × | × | × | ✓ |
| Cross-vertical | Legal | Legal | Research | All of these |
| Indexes private docs | ✓ | ✓ | × | ✓ |
| BYO LLM | × | × | × | ✓ |
| Cited pages | ✓ | ✓ | ✓ | ✓ |
| Per-seat / month | Reported $1.2K+ | $200+ reported | Free-$169 | $49-$99 |
Lawyers — undercut Harvey. Researchers — index what Elicit can't. Dealmakers — own your VDR. Teams — keep your data.
Pricing source-checked on 2026-05-26. Harvey and CoCounsel prices are reported or plan-page-backed because vendor contracts vary; Elicit and Leapable cells link to current public pricing. See comparison source notes.
Published benchmark
More than 1 in 3 of a leading legal AI’s research answers were wrong.
Stanford HAI's 2024 benchmark article reported Westlaw AI-Assisted Research hallucinated more than 34% of the time. Even leading legal AI tools cite cases that don’t exist — confidently.
Sources: Stanford HAI, 2024 and Magesh et al., Journal of Empirical Legal Studies, 2025.
The Leapable difference
Leapable refuses to answer when the evidence isn't there.
- Every answer is a verbatim excerpt with its page number and a content hash.
- No matching source? It says so — and cites nothing rather than guessing.
- You verify against the original document, not the model’s confidence.
It won’t always have your answer. When it doesn’t, it tells you — instead of inventing one.
Built for high-stakes work
Built for law firms, research labs, deal teams, and newsrooms.
These are the document-heavy workflows Leapable is designed for. The badges below are illustrative use cases — not customer logos. We’ll add named pilot logos here only with written permission, and never invented ones.
Registered
MCP tools included
21
file types supported
0ms
OCR for .md/.txt files
5,000 starter credits
included for new accounts
Everything below is included on every workspace plan.
CORE — AI-searchable workspace for your private documents
21 file types, cleaned + indexed with cited excerpts automatically
- Registered MCP tools beyond chat (worth $25,000 to build)
- Cross-encoder reranker (worth $40,000 to build)
- Chain-hash provenance graph (worth $35,000 to build)
- 10 MCP client configurations (not available elsewhere)
- Cross-vault search (worth $15,000 to build)
- Local-first architecture (worth a privacy lawsuit avoided)
- Append-only audit log (worth a regulator's trust)
- Free starter credits ($250 of cloud OCR)
Cancel anytime. Your data stays yours.
Uninstall = data goes with you. No lock-in. We never train on your private documents.
Your .md and .txt files never leave your disk in normal
operation. Cloud OCR (for PDFs and images) is transient: files are processed and
immediately deleted on our infrastructure.
Already paying $1,200/seat for Harvey? Talk to us about the migration path →