AI-assisted contract review for the practices too small to get OpenAI, Anthropic, or Google's attention for a zero-data-retention deal — whether that's a small firm or a lean in-house team. We run inside a sealed cloud environment, so the AI companies that built the model never see the contract running through it.
Three practical guardrails most attorneys would want before sending a client contract through a frontier model. Solo, small-firm, and in-house practices generally can't put all three in place on their own.
Zero-data-retention arrangements with OpenAI, Anthropic, and Google are gated by their sales teams. Without one, every direct API call is logged for abuse monitoring on the providers' standard timelines — typically a month or more. Solo attorneys, small firms, and in-house counsel rarely have the leverage to negotiate the retention away.
Paid commercial APIs generally don't train on your prompts. The consumer chat apps — ChatGPT, Claude.ai, Gemini — do. But absence of training isn't privacy: no DPA, no BAA, no audit right, and human reviewers may still see flagged traffic. Bigger practices negotiate around all of that. Smaller ones generally can't get the meeting.
A general-purpose AI model doesn't know your firm's positions on indemnity caps, liability carve-outs, or data terms. Without your playbook baked in, you get standard market language — which may be precisely what you've spent a decade negotiating away from.
RedlineNow runs inside a sealed cloud environment built on enterprise AWS infrastructure. Your contract enters that environment; the model you select runs against it inside the same boundary; the response comes back. The document never leaves the perimeter to be processed somewhere else.
AWS publishes its Bedrock data-protection design directly: "Because the model providers don't have access to those accounts, they don't have access to Amazon Bedrock logs or to customer prompts and completions."[1] RedlineNow is built on that architecture, governed end-to-end by the AWS Data Processing Addendum — neither contract alone nor architecture alone, but both.
Contract text is held in memory while a request runs and discarded after. The AWS Data Processing Addendum covers the chain end-to-end, and private network isolation is available for firms that want to keep traffic off the public internet entirely.
The frontier model providers don't receive your prompts — not because they've promised not to look, but because Bedrock's architecture is designed so they don't have access in the first place.
Move through a contract the way attorneys actually do — dig in, mark it up, send it back.
Upload a contract; ask anything about it. Doc Assist holds the full document in context, and the engineering underneath is built so repeat questions stay fast and cheap. You see what each session is costing in real time — no surprise bills.
Upload a contract, pick which side you want RedlineNow to play, and you'll get a sample redline of the agreement from that perspective. Useful for pressure-testing the version you're about to send out — or for anticipating what's likely to come back from opposing counsel before the call. You decide what's worth keeping.
When the contract matters and the position is non-negotiable. Contract Review runs your firm's playbook against the document in multiple deep passes — built so the model's first answer isn't its only answer. Playbooks live encrypted, scoped to your firm, and never leave that boundary except to be read by the model at request time.
RedlineNow assists the attorney; it doesn't replace one. Every output is a starting point for review.
The contract review your day depends on, with the architectural controls and AWS contractual coverage you can document for a privilege analysis. RedlineNow handles the pattern-matching so you can spend your time on the parts of the work that need a lawyer.
Tens of attorneys, hundreds of clients, no enterprise procurement team to negotiate ZDR addendums with OpenAI. RedlineNow is sized for that reality — capable AI for contract work, deployed without a months-long vendor onboarding.
You're the legal department, or a small slice of it. You evaluate every tool, you live with every decision, and you don't have a dedicated AI-procurement team to run point. RedlineNow is the AI deployment that comes with the documentation, the data-flow summary, and a vendor-side privilege workup you can use as a starting point for your own analysis.
Note: if you're at an AmLaw 50 firm or running a Fortune-500 legal department with a signed enterprise ZDR contract and a dedicated AI governance team, you probably don't need us. RedlineNow exists for the practices that want the same protection without the same negotiating leverage.
Each deployment is custom-built for the firm or in-house team using it — playbook, model selection, hosting topology. Tell us about your practice and we'll set up a private walkthrough.
For provisioned firm accounts only.
Read this before relying on RedlineNow for client work.
RedlineNow assists the attorney; it does not replace the attorney. Output is a starting point for review, not legal advice. Every change must be evaluated by qualified counsel before being applied to a client matter.
Architecture, not promise. RedlineNow runs on AWS Bedrock, an AWS-managed service that brokers calls to frontier model providers. The Bedrock architecture is designed so the upstream model providers do not receive your prompts. The AWS Data Processing Addendum governs the AWS relationship; no separate agreement with the model providers is created by your use of the service.
Stateless processing. Documents and chat content are held in memory for the duration of a request and are not written to disk by RedlineNow. The .docx output you download is the only persistent artifact, and it lives on your local machine.
Professional responsibility. AI-assisted contract review does not relieve any attorney of duties under ABA Model Rule 1.1 (competence), Rule 1.6 (confidentiality), or applicable state-bar guidance on the use of generative AI. Attorneys must independently assess whether RedlineNow's architecture meets the privilege and confidentiality requirements of their jurisdiction, their firm, and the matter at hand.
Not legal advice. Nothing in this notice or anywhere on this site is legal advice about whether RedlineNow's architecture is sufficient for your jurisdiction's privilege or confidentiality requirements. That assessment is the using attorney's professional responsibility.
Your data, your call. RedlineNow does not train models on your content. AWS Bedrock does not train models on customer content under its standard service terms[2]. Custom deployments may include additional protections (PrivateLink isolation, in-your-AWS-account hosting, audit logging) configured during onboarding.
Questions about the architecture or the agreements behind it? Reach us via the access-request form on this page.
