New ClaimHit V3 produced the most viable leads in the Light Drafts benchmark. Read the benchmark →

ClaimHit / Benchmark

Independent evaluation

Someone else tested it, and published what he found

Charles Eldering benchmarked six AI patent infringement detection tools across 51 patents, then retested ClaimHit after our V3 release and wrote up both the results and the conversation with our founder. He states he has no affiliation with any of the vendors. We had no control over what he published and did not see it before it went out.

What he found

Three numbers from the retest

7.5×
More products found

Against the same 51-patent portfolio, V3 returned 2,195 company and product reads where the previous version returned 293. Once overproduction is discounted, he judged we produced the largest number of potentially viable leads of the six.

152→1,533
Companies reached

A roughly tenfold expansion in distinct companies. He notes, correctly, that the growth is breadth across companies rather than depth within a product line. That limit is real and we are working on it.

99→560
Corroborated by another tool

Results independently found by at least one other tool rose more than fivefold.

The one patent where the answer was known

Two products, known in advance. The previous version found neither.

Known productPreviousV3
Product ADrafted with the claims in mind
Product BDrafted with the claims in mind
Weak third leadRated weak by the evaluator–

One patent in the set had its claims drafted with two particular products in mind, so the correct answer existed before any tool ran. V3 found one of the two, and removed a third lead the evaluator had rated weak. It is one patent, so it is an anecdote rather than a result. It is also the only place in the study where output could be checked against a known answer.

Discovery no longer rests on what a single model happens to recall. Six channels run in parallel: web search, semantic search, citation lineage, product libraries that are not indexed as pages, competitors of companies already found, and several models cross-checking each other.

His conclusion, not ours

No single tool in the study, ours included, produced a final curated list of leads on one pass. Run more than one tool, or have an analyst guide the searches, and compare.

One thing worth saying plainly. Our results come from a retest on a portfolio we had already seen, against a version released after his first article. The other tools were measured on a single blind pass. That is not a like-for-like comparison and we do not present it as one.

Read the benchmark in full →Published on Light Drafts, September 2026. We link to it rather than reprint it.
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