IA-001
Invention Analysis Benchmark
Patent Practice
A benchmark for evaluating AI systems on structured invention analysis, using a focused set of patent publications.
Publications
Systems Tested
Evaluators
Question
Can AI systems produce invention analyses that are accurate, complete, and reliable enough for an attorney to use as a genuine starting point — not just plausible-sounding text?
Task Definition
TBD — the precise task definition (what input a system receives, and what output it must produce) is still being designed.
Dataset / Inputs
The benchmark is built around a focused set of patent publications — currently planned at approximately 12 — selected to represent a range of invention types. The exact publications, selection criteria, and dataset structure have not yet been finalized.
Gold Standard
TBD — the Laboratory is still determining how gold-standard invention analyses will be created and by whom. This section will eventually distinguish the reference answer used for comparison from the evaluation rubric used to judge a system's output.
Method
TBD — the evaluation procedure, including how a system's output is compared against the gold standard and how disagreement between evaluators is resolved, has not yet been finalized.
Limitations
TBD — like any benchmark, this one will have limitations: dataset size, subject-matter coverage, evaluator agreement, and how well performance here predicts performance on other legal tasks. Those limitations will be documented explicitly once the benchmark exists in a form that has them.
Evaluation Rubric
Provisional dimensions
These are the Laboratory's working evaluation dimensions, not this benchmark's finalized rubric.
- 01
Accuracy
Does the output correctly address the task?
- 02
Completeness
Does it identify the material issues, facts, or considerations?
- 03
Reasoning / Analysis
Does the analysis appropriately connect facts, rules, and conclusions?
- 04
Consistency
Does the system produce reasonably stable results across comparable inputs?
- 05
Evidence / Support
Are conclusions supported by the relevant source material?
- 06
Workflow Compliance
Did the system follow the defined workflow?
- 07
Human Reviewability
Can an attorney efficiently inspect and evaluate the output?
- 08
Failure Severity
When the system fails, how consequential is the failure?
Results
Results — Coming Soon
No runs have been completed for this benchmark yet.
Failure Analysis
Where — and how badly — did it fail?
- Missed issue—
- Incorrect reasoning—
- Unsupported conclusion—
- Hallucination—
- Incomplete analysis—
- Context failure—
- Instruction-following failure—
- Workflow failure—
- Inconsistent output—
- Human-review concern—
Provisional categories — not yet formally adopted
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