Nvidia · Filed Oct 29, 2024 · Published Apr 30, 2026 · verified — real USPTO data

Nvidia Patents an AI System That Reads and Rewrites Contract Clauses Automatically

Nvidia is patenting an AI system that can scan contract templates, spot clauses that relate to each other across documents, and automatically rewrite them — no lawyer required for the routine stuff.

Nvidia Patent: AI System That Rewrites Contract Clauses — figure from US 2026/0119790 A1
FIG. 1A — rendered from the official USPTO publication PDF.
Publication number US 2026/0119790 A1
Applicant NVIDIA Corporation
Filing date Oct 29, 2024
Publication date Apr 30, 2026
Inventors Brian David McBrayer, Yuliana Yajaira Zamora, Suchismita Sahu
CPC classification 715/255
Grant likelihood Medium
Examiner CENTRAL, DOCKET (Art Unit OPAP)
Status Docketed New Case - Ready for Examination (Dec 5, 2024)
Document 20 claims

What Nvidia's AI contract-rewriting system actually does

Imagine your legal team manages dozens of contract templates — NDAs, vendor agreements, service contracts. When a law changes or your standard liability language gets updated, someone has to hunt through every template and manually find all the related clauses. It's tedious, error-prone, and slow.

Nvidia's patent describes a system where an AI language model does that hunting for you. You feed it your existing templates and a set of updated clauses, and it figures out which old clauses are related to the new ones — then flags them in a user interface so you can review the connection.

Once you approve, the system automatically rewrites the old clause in your template to reflect the updated version. You stay in the loop (there's a confirmation step), but the AI handles the heavy lifting of matching and drafting.

How the language model detects and updates related clauses

The patent describes a method built around two inputs: template data (your existing contract templates with their clauses) and second clause data (new or revised clauses you want to incorporate).

A language model — think a large transformer-based model similar to the kind powering modern chatbots — analyzes both inputs and produces output indicating which clauses in your templates are semantically related to the new clauses. That's not just keyword matching; it's meaning-level comparison.

The system then surfaces those relationships in a user interface, letting a human reviewer see the match before anything changes. This human-in-the-loop step is explicitly part of the claim — the system receives an indication (a user approval or trigger) before proceeding.

Finally, the language model generates rewritten output: the original clause, updated to incorporate the new language. The whole pipeline is:

  • Ingest templates + new clauses
  • LM detects related clause pairs
  • UI presents the relationship for review
  • User approves the update
  • LM rewrites the clause in the template

What this means for enterprise contract management tools

Contract lifecycle management is a massive, underserved enterprise software category. Most tools are glorified document stores. An AI layer that can semantically map clause relationships across a portfolio of templates — and then draft updates — would save legal and procurement teams serious hours on routine maintenance.

For Nvidia specifically, this is an interesting move. The company is clearly building out enterprise AI tooling beyond chips and training infrastructure. A patent like this signals they're thinking about vertical workflow applications — the kind of software that runs on top of their AI platforms and could be productized or licensed to large enterprises.

Editorial take

This is a genuinely useful patent for enterprise software, even if it's not the flashiest thing Nvidia has ever filed. Contract clause management is a real pain point, and an LM-powered system that handles the matching and drafting with a human approval step is a sensible, practical design. The interesting story here is Nvidia quietly filing AI application patents in legal-tech territory — that's worth tracking.

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Source. Full patent text and figures from the official USPTO publication PDF.

Editorial commentary on a publicly published patent application. Not legal advice. Patentlyze may earn a commission if you click an affiliate link and make a purchase. This doesn't affect what we cover or how we cover it.