Intelligence

The intelligence layer.

Patent enforcement runs on information. We built the infrastructure that connects all of it.

The Problem

Fragmented tools

Patent SearchFind patents by keyword
Case DatabaseLook up filings
Attorney DataCheck profiles
Judge AnalyticsReview ruling stats
Damages ExpertHire per engagement

Each tool sees one part of the picture. None of them talk to each other. You pay for five subscriptions and still do the integration yourself.

The Graph

We connected everything

200M+Patents
8M+Cases
340K+Litigants
140K+Attorneys
Connected
6K+Judges
46K+Firms
3.7K+Precedents
50+Jurisdictions

Data from Google Patents, USPTO, EPO, national offices, CourtListener, and 30+ additional sources. Updated daily.

Relationships

PatentCase

Which patents were litigated, and what happened

CaseJudge

Which judges presided, and how they ruled

JudgeAttorney

How each attorney performs with each judge

AttorneyFirm

Which firms win in which courts

CaseOutcome

Settlement, trial, dismissal, and damages awarded

PatentFamily

Connected patents across all jurisdictions

Capabilities

What the platform does

01

Target Intelligence

Who to enforce against, in what order, and why. Litigation history, counsel track record, settlement patterns, vulnerability timing.

02

Damages Intelligence

What the patent is worth against each target. Seven independent valuation methods that cross-check each other.

03

Outcome Prediction

What will happen if you file. Models trained on 8M+ historical cases predict settlement probability, dismissal risk, expected damages, and duration.

04

Strategic Monitoring

What your targets are facing right now. Continuous tracking of litigation, verdicts, settlements, and regulatory actions.

05

Campaign Strategy

How to sequence enforcement, when to move, when to wait. Each action improves the position for the next.

Ask the Platform

Questions you can ask

Not a search bar. A system that reasons about the structure of patents, litigation, and enforcement strategy.

01Patent Portfolio Intelligence
What does my portfolio look like structurally?
Which of our patents are citation hubs vs isolated filings?
What CPC classes do we dominate? Where are the gaps?
Which patents bridge multiple technology areas?
How does our portfolio compare to [competitor] in [tech area]?
200M+ patents with full citation networks, classifications, and family links across 100+ patent offices.
02Litigation Outcome Prediction
If we enforce this patent, what happens?
Given this patent, this defendant, this court — what's the likely outcome?
What's the probability of settlement vs trial vs dismissal?
What's the expected timeline and cost range?
Which judge assignments favour us? Which don't?
Trained on 8M+ historical cases with docket sequences, judge patterns, and disposition data across 50+ jurisdictions.
03Strategic Enforcement Decisions
Where should we enforce next?
Which infringers have the highest expected value to pursue?
What's the optimal sequence — who first, who second?
If we settle with A, how does that change leverage against B?
What happens if we file in EDTX vs Delaware vs ITC?
Simulates different enforcement strategies and sequences, ranked by risk-adjusted expected value.
04Prior Art & Invalidity Risk
How defensible is this patent?
What prior art exists in the citation chain?
Which of our patents are most vulnerable to IPR?
What's the PTAB survival rate for patents like this one?
Full citation chains mapped with PTAB decision history and invalidity challenge outcomes tracked.
05Case Intelligence
Tell me about ongoing litigation in [space]
Who's suing whom in 5G/SEP right now?
What motions have been filed in [case]? What's the docket timeline?
What precedents does this case cite? What doctrinal framework applies?
How has this judge ruled on similar patent cases?
Live court data from 30+ jurisdictions, updated daily. Docket events, rulings, and precedent chains connected.
06Competitive Landscape
What's [company] doing?
What has [competitor] filed recently in [tech area]?
Who are they suing? Who's suing them?
What law firms do they use? What's their win rate?
What's their patent family strategy — where do they file?
Every party, attorney, firm, and assignee relationship mapped across the full litigation and patent record.

A legal database returns 50 cases about SEPs.

The platform tells you: if you enforce patent X against company Y in court Z, the most likely path is a Markman hearing at month 8, settlement negotiation at month 14, with 63% probability of settlement between $2M–$8M — but only if you file the MSJ early, because 82% of high-value settlements in this judge's history include an early MSJ.

Structure, not just search. Prediction, not just retrieval.

Comparison

What this replaces

Traditional

Manual prior art searches at £500-2,000 each

Platform

200M+ patents searchable by technology, claims, and citation network

Traditional

Expert reports at £50-100K per engagement

Platform

Economic models producing analytical groundwork for expert testimony

Traditional

Guesswork on settlement value

Platform

Damages estimates cross-checked seven ways with comparable verdicts tracked automatically

Traditional

Reactive strategy checked ad hoc

Platform

Continuous monitoring of cases, verdicts, settlements, regulatory actions

Traditional

Law firms researching defendants at hourly rates

Platform

Every target's litigation history, counsel, and behaviour patterns already mapped

Traditional

Static claim charts produced once

Platform

Claim-to-product mappings updated as products and prior art evolve

Run it on your patents.

Tell us the portfolio, the targets, or the question. We'll show you what the graph sees.

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