Custom-trained models for SEC contract work
Transactional and compliance teams spend hours inside EDGAR exhibits (credit agreements, amendments, employment letters), trying to extract the operative clause, not a law-school summary. ConqrLLM is a custom-trained model that reads filings the way practitioners do: anchored to the document, precise on mechanics, and ready for the deal memo.
General-purpose models are built for breadth. SEC work demands depth: the correct section, the defined term, the carve-out that changes a covenant analysis. We trained ConqrLLM on decades of EDGAR filings so professionals get answers grounded in the document rather than polished speculation, and can move faster from exhibit to judgment.
Same question. Three very different answers.
Three real SEC exhibits, one practitioner question each, answered side by side by GPT-5.5, ConqrLLM 1.2, and Claude Opus 4.8.
OrthAlliance, Inc. / Stephen M. Toon Employment Agreement Amendment (May 22, 2000)
“From a covenant compliance perspective: this Amendment extends the term of Stephen Toon's employment agreement through what date, and does it change any of the core compensation provisions in the original agreement?”
Home Properties of New York, L.P. - Partnership Agreement Amendment (Series D)
“When the General Partner redeems shares of Series D Preferred Stock, what happens to the corresponding Series D Partnership Preferred Units, and how is the redemption price determined?”
Speizman Industries, Inc. / SouthTrust Bank Credit Agreement (May 31, 2000)
“What are the two facilities under this credit agreement between Speizman Industries and SouthTrust Bank, their maximum amounts, and termination dates?”
ConqrLLM · Custom-trained models for professional document work
See the full ConqrLLM 1.2 benchmark