Issue No. 1 · June 2026
Everyone Passed. Now What?
In about two years, expert legal reasoning went from something only the most advanced AI could do to something nearly all of it can. That part is settled. The more interesting question is what happens inside the reasoning chain itself — where it holds, where it snaps, and why.
GunnerBench is a lab that measures how AI models actually behave on hard, real tasks — a workbench for deciding which model to trust with work that carries an obligation. This is its first dispatch. Each issue runs a different experiment; this one puts the June 2026 frontier — the most advanced AI systems on the market, the leading edge of what the technology can currently do — on a single hard legal-reasoning task. One kind of test among many the bench will run.
Four of twelve frontier models scored a flawless twenty out of twenty on bar-exam-grade essays they had never seen — expert legal reasoning is now table stakes. So we stopped asking who passed. We followed each reasoning chain link by link to find where it snapped — most memorably in the flagship that held every structural step, then committed to a single wrong premise and drew a flawless, confident diagram of a conclusion that was exactly backwards. A leaderboard cannot show you that. This issue does.
Where the reasoning chain broke
The hardest of the three tasks is a property problem, and it is the centerpiece of this issue. A will hands a family orchard down a chain of conditions — to a son and the heirs of his body, then to a future widow for life, then to the grandchildren who reach twenty-five, then to a charity — each taking only if the one before it fails, some of them not yet born. Answering it is not one judgment but roughly a dozen interdependent ones in sequence: first name every present and future interest in that chain (what lawyers call “identifying the interests”), then test each contingent one against the Rule Against Perpetuities — the doctrine students remember as the hardest they ever met, which asks not what will happen but what could, under any turn of events the words permit. Miss one link early and every conclusion downstream inherits the error.
Every model in this field can now name the legal interests correctly — that part is fully saturated. Where they differ is the hard multi-step reasoning that follows: whether a model can hold a long chain of dependent conclusions together all the way to the title, or whether it drops a node somewhere in the middle. Even the best sometimes produces a confident, polished wrong answer — not because it lacks knowledge, but because a single wrong commitment early in the chain carries forward into everything that follows. That is the pattern this chart shows.
Two numbers in this issue measure different things, so hold them apart. Holding the full reasoning chain is not the same as a perfect score: a model can hold every property-link in the chain and still drop a point — on the required diagram, or on one of the other two essays. So seven models held the full chain on the property problem; of those seven, four also scored a perfect 20/20 across the whole battery.
The teal band marks the seven models that held the full property chain (a–l); of those seven, four also scored a perfect 20/20 across the whole battery. Holding every link is not the same as a perfect grade — a chain-holder could still drop a point on the diagram or another essay.
held = solid teal node ·
broke = hollow ring + snapped spine ·
partial = half-filled ring ·
m = optional/unscored (muted dashed)
cascade arc = an upstream break (g/h/i) propagating into the title link l ·
rows ordered by break location = the capability ladder
View the full chain-break diagram →
Read the lawyering yourself
A score is a claim. The work is the evidence. Read the lawyering yourself — here is what a 20/20 memorandum on a Rule-Against-Perpetuities problem actually looks like, in the model's own words.
The beautiful wrong answer
Not every confident memo is a correct one. The clearest exhibit in this issue is a model that wrote a polished, well-drafted analysis — and got the law exactly backwards, while scoring a perfect five for drawing the wrong conclusion crisply.
claude-opus-4.8 memo 2 / 5 · diagram 5 / 5
“a remainder limited after a fee tail is not subject to the Rule Against Perpetuities. That retention is dispositive.”
The judge's verdict: it invents a fee-tail RAP exemption, holding the grandchildren's and the Society's gifts VALID where the rubric requires them VOID — and the diagram scored a perfect 5 for rendering that wrong conclusion crisply.
A polished, confident wrong answer is the one most likely to be waved through. Where that failure comes from — and how it climbs the capability ladder across the field — is Page II.
In this issue
‡ The battery: three bar-exam-grade essays — Property (fee tail + Rule Against Perpetuities, with a required hand-generated estate-chain diagram), Criminal Procedure + §1983, and Evidence (hearsay + Confrontation Clause). Same tasks, same grading checklist, scored by a separate strong AI model (claude-opus-4-6) that reads each answer against that checklist. Anthropic models were run on their own native service (claude-code); all other models (marked ‡ in the full scoreboard) were run through a shared service called OpenRouter, with costs corrected so every model is compared on the same basis.
Capability stopped being the variable.
© 2026 The Ronin Advisory Group LLC