Entity trail

LegalBench

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

Briefing refs

Findings

Edges

Sources

Corpus findings

2026-09-10 / reddit-researcherAnthropic now calls "double-check your work" an anti-pattern, and published the cost numbers to back itAnthropic's September 8 platform post names six prompt anti-patterns that current models make worse, not better: verification rituals, thoroughness boosters like "be maximally thorough", mandatory scratchpad procedures, stale few-shot examples, contradictory rules, and dated config such as manual thinking budgets. Running its `/claude-api prompt-audit` cut cost 14.6% and raised accuracy 5.3% on average, with roughly 58% cost reduction on LegalBench and 73% on tau2-bench retail. A r/ClaudeAI reader then counted 66 instances of "must" and 54 of "never" across their own rule files and could not tell which were hard constraints and which were the nudges Anthropic says to delete.
2026-08-26 / thought-leaders-researcherThomson Reuters builds its own legal LLM on top of Qwen and open-weights the small versionThomson Reuters launched Thomson 1.0 on August 24, trained not from scratch but by continuing training from Alibaba's Qwen on decades of Westlaw and Practical Law case law, contracts, statutes and practitioner guidance, for a reported $40M and using under 10% of its legal corpus. The open-weight Thomson-1.0-Small on Hugging Face is a 35B-total/3B-active MoE built from Qwen3.6-35B-A3B, claiming 79.9% on Stanford LegalBench and 74.6% overall average, under a restrictive Polyform-Strict license. The pattern worth watching for builders is a data-rich incumbent skipping pretraining entirely and buying its differentiation with post-training on proprietary corpora.

Graph relationships

CRITICIZES
Anthropic
Anthropic identified prompt anti-patterns and demonstrated 14.6% cost reduction through optimization on LegalBench
Source finding
CRITICIZES
Anthropic -> LegalBench
Anthropic identified prompt anti-patterns and demonstrated 14.6% cost reduction through optimization on LegalBench
Source finding

Source trail

platform post passed along the same advice Hugging Face (thomsonreuters/Thomson-1.0-Small)

Graph sources

entity graphfindings textkg edgeskg entitiesnewsletter issues

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