You have a contract to review, an AI tool would obviously help, and you can't use one — because the contract is confidential and every mainstream AI tool starts with an upload. This page walks through the actual options, honestly, including when the answer is "don't use AI at all."
Three separate problems stack up. Confidentiality: engagement letters and professional conduct rules generally treat sending client documents to a third-party service as disclosure, unless that vendor has been vetted and contracted. Data handling: consumer AI chat tools may retain conversations, use them for abuse monitoring, or (depending on settings) training. Verifiability: chat models paraphrase; a paraphrase of a liability clause that is slightly wrong is worse than not reading it.
| Approach | Confidential-safe? | Cost | Catch |
|---|---|---|---|
| Enterprise legal AI (Spellbook, Luminance, Harvey...) | Contractually — cloud, but with DPAs and enterprise terms | ~$99–$2,000/user/mo | Priced and built for firms, not solos; procurement and vendor review required |
| Consumer AI chat with "privacy scrubber" extensions | Partially — regex scrubbers hide patterns (emails, card numbers) but the document still uploads, and contextual details slip through | Free–cheap | The document itself still leaves your machine |
| Anonymize manually, then paste | Depends entirely on your diligence | Your time | Slow, error-prone, and de-anonymization is often trivial for distinctive contracts |
| On-device analysis in your browser | Architecturally — nothing is transmitted | Free–one-time | Triage-level analysis, not case-law reasoning |
The document is parsed locally. Rule-based analysis — the kind that can't invent anything — extracts the parties, dates, amounts, and standard clauses, and flags known risk patterns: automatic renewal, uncapped liability, broad indemnification, non-competes, and clauses that are conspicuously missing. Every finding links to the exact sentence it came from, so verification is one click, not a re-read. Where the browser supports an on-device AI model, you can add plain-English clause explanations and ask-the-document questions — still without anything leaving the machine.
The test that matters: open your network inspector while the tool analyzes a document. If any request carries document content, it's not an on-device tool. Architectural privacy is verifiable; policy privacy is not.
If the matter is high-stakes and the analysis will be relied on directly — a signature-ready M&A agreement, litigation exposure — AI triage is a first pass at best. Use it to read faster and catch the obvious; the judgment call is yours or outside counsel's.
We're building a browser extension for exactly this problem: drop a PDF or DOCX and get risk flags, clause extraction, PII redaction, and summaries — 100% on your device. No account, no server, no subscription. One-time license. By hakeemify, maker of Roost.
We'll email you once, at launch. Nothing else.
Often not. Distinctive deal terms, amounts, and dates can make a contract re-identifiable even with names removed, and manual redaction is error-prone. The document also still leaves your machine, which may itself violate your confidentiality obligations.
They reduce obvious pattern leaks (emails, card numbers) but generally work with regex, missing contextual identifiers. More fundamentally, the contract text is still uploaded to the AI provider.
Yes. Rule-based clause extraction and risk flagging run entirely in the browser, and modern browsers can also run small AI models on-device for summaries and Q&A. Nothing needs to be transmitted.
No — enterprise tools reason more deeply and handle negotiation playbooks. On-device analysis is triage: extraction, risk flags, redaction, and summaries that you verify via source links. For confidentiality-bound solos, it's the option that's actually usable.
By hakeemify — maker of Roost (tab manager) and "WatchBird" (Website Change Monitor). We build local-first, one-time-license browser tools.