OneTwelve AI
Institutional Intelligence

Multi-Factor Intelligence Tools for the Next Generation of IP Prosecution and Portfolio Management

Only OneTwelve has the Artificial Intelligence that gives you Institutional Intelligence — connecting information spread across your patent and entity portfolios, turning them into verifiable intelligence your team can search, analyze, measure, and put to work.

Ready to see what Day One could look like?

Case studySame model, same case, a third of the time→

Patent prosecutors · In-house IP teams · Patent owners · Portfolio evaluators

The dataset

A dataset built for the scale of the question.

OneTwelve is built on 173M+ current records worldwide — granted patents and pending applications, entities, and ownership — cross-referenced on a multi-factor basis, not limited to a single data point, with new records being added continuously.

A 30-million-snapshot ownership time machine means you can see who owned whom as of any date. Layer in 13.3M USPTO assignment records covering 80M patent properties — every recorded transfer, merger, and name change — plus corporate subsidiary trees pulled from various worldwide registries, and you catch parent relationships that never touched a patent office.

Every claim of ownership is cross-referenced on a multi-factor basis, not resolved from a single data point.

Ownership time machine
Real data

Samsung Electronics Co., Ltd.

South Korea · group parent

167,649
U.S. patents held today, whole group
126,523
In Samsung Electronics’ own name
AS OF 2026
86
Recorded moves
7,869
Acquired (shown)
7,504
Transferred out (shown)

2025 79 patents acquired from LG Display Co., Ltd.

Real data from the OneTwelve ownership graph: recorded USPTO assignments and the published entity map, as of 2026-09-23. Open as a full page ↗
173M+
records worldwide: granted patents, pending applications, entities and ownership
3.4M
tracked legal entities
30M
ownership snapshots and counting
13.3M
USPTO assignment records, 80M patent properties

These are current records and counting — new records are being added continuously.

Case study · Measured, not estimated

Artificial Intelligence alone versus Institutional Intelligence.

Same model. Same case. A third of the cost, a fraction of the time.

In a head-to-head test using the same underlying AI model, OneTwelve automatically assembled the relevant case record and analyzed a final rejection involving nine cited references and seven rejections.

The difference was not the model. It was the intelligence surrounding it.

3.3×
lower cost per review
52×
less AI work to get there
62%
less time to the finished analysis

Application 15/352,952, final rejection of 15 December 2020. Figures come from each run’s own usage records.

Built for the work behind the ideas.

OneTwelve is designed by patent professionals for patent prosecutors, in-house IP teams, patent owners, and professionals evaluating patent portfolios.

  • Patent prosecutors
  • In-house IP teams
  • Patent owners
  • Portfolio evaluators

Your data stays protected. External connections are encrypted, and the LLMs used by OneTwelve do not train on your data.

Request a Demo

Your portfolio already contains the intelligence. OneTwelve makes it usable.

Understand what you have. Apply what you know. Make better decisions about what comes next. Ready to see what Day One could look like?

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