Clause Extraction with AI agents

Every incoming contract buries the handful of clauses that actually matter — termination notice, auto-renewal, liability caps, indemnification, governing law — inside pages of boilerplate that legal teams have to reread every single time. Neotask reads the full document the moment it lands, pulls out each of the clauses a legal team has defined as relevant, and returns them as a structured, comparable summary next to the source paragraph they came from, so a reviewer can see immediately what a contract commits the company to without rereading the whole thing. This turns a document that would take twenty to forty minutes of careful reading into a two-minute confirmation pass, and it does it consistently across every contract that comes in, not just the ones someone remembers to check closely.

How it works today vs. with Neotask

The manual version of this task is not that legal teams cannot read contracts — it is that reading carefully at volume is exhausting and inconsistent. A reviewer opens a fifteen-page vendor agreement, searches for the renewal clause, searches again for the termination-for-convenience language, flips back to check whether liability is capped at fees paid or something worse, and does this from memory of where similar clauses tend to sit in similar documents. Under deadline pressure, the temptation is to skim, and skimming is exactly how an auto-renewal clause with a ninety-day notice window gets missed until it is too late to get out of the contract without penalty. It also does not scale: a legal team of two reviewing forty contracts a month has no consistent record of what was found in each one beyond whatever redline comments happen to survive in the document. Neotask standardizes the extraction itself. It runs the same clause taxonomy against every document — termination, renewal, liability, indemnification, assignment, governing law, and whatever else the team configures — and produces the same structured output every time, with a direct pointer back to the paragraph in the source document so nothing is taken on faith.

The agent flow

1. Ingest the incoming document - The contract lands as a PDF or Word file attached to an email, dropped in a shared drive, or forwarded through the review-intake channel, and Neotask picks it up without anyone manually uploading it to a separate tool. (google-drive)
2. Normalize the text - Neotask converts the document to clean structured text, preserving section and paragraph boundaries so extracted clauses can be traced back to an exact location rather than a vague page number.
3. Run the clause taxonomy - Each configured clause type — termination, renewal, liability cap, indemnification, assignment, governing law — is located and pulled out verbatim, along with the paragraph number it lives in.
4. Flag anomalies against the standard - Every extracted clause is compared against the team's standard playbook language, and anything that deviates meaningfully — a shorter notice period, an uncapped liability clause, a non-standard jurisdiction — is flagged for a human to look at first.
5. Produce the summary - A one-page structured summary is generated with each clause, its location, and its flag status, formatted for a fast reviewer pass rather than a full re-read of the source. (google-docs)
6. Route for review - The summary and flagged items are posted to the legal team's queue with the original document attached, so the reviewer opens the summary first and only drops into the full document for the flagged sections. (notion)

Variations

• A vendor-paper mode applies a stricter taxonomy tuned to indemnification and data-handling clauses for procurement contracts specifically.
• A sales-paper mode instead checks the company's own outbound paper for accidental deviations from approved templates before it goes out to a customer.
• High-risk contracts above a configurable value threshold automatically get a second extraction pass cross-checked against a different clause library for redundancy.

Frequently asked questions

Does this replace legal review entirely?

No. It replaces the slow first read, not the judgment call. A human still decides whether a flagged deviation is acceptable; Neotask just makes sure nothing gets missed by fatigue or time pressure.

What happens if a clause type is not found in a document?

It is reported explicitly as absent rather than silently omitted, since a missing termination clause is itself a fact worth flagging, not something to leave blank.

Can the clause taxonomy be customized per contract type?

Yes. NDAs, vendor agreements, and customer paper typically care about different clauses, and the taxonomy is configured per document type so the extraction stays relevant.

How accurate is the paragraph-location pointer?

It references the exact section and paragraph number from the normalized document text, so a reviewer can jump straight to the source language instead of searching for it.

Plans

Related workflows

• NDA Processing - NDA processing through a Neotask agent turns a request that used to sit in someone's inbox for three days into a same-hour turnaround: the agent…
• Matter Intake - Neotask turns a new-matter request into a properly opened file — conflict check run, matter number assigned, folder structure created, engagement…
• Contract Review Intake - Contracts arrive from everywhere — a sales rep forwarding a customer redline, a vendor sending a renewal, a hiring manager attaching an offer letter…
• IP Filing Reminders - Neotask tracks every patent and trademark deadline your firm or company owns — office action responses, maintenance fees, renewal windows — and…
• Automated Release Notes - An agent can compile release notes automatically by scanning every PR merged since the last release, cross-referencing the linked ticket for…
• Budget Checks - Neotask checks every purchase request, invoice, or spend commitment against the actual remaining budget for its cost center before it gets approved…

Explore: Integrations · Skills · Glossary · Solutions · Examples · Comparisons · Templates · Blog · Docs