Dev JCo-founder, product
Product architect for autonomous multi-agent pipelines and LLM platforms. Agentic systems (MCP) and multi-model safety evaluation.
Reasoning models in enterprise RAG: How chain-of-thought handles complex contracts
Applying reasoning models (DeepSeek R1, Claude 3.7 Sonnet) to audit complex legal contracts, financial compliance documents, and multi-page technical specs.
Why standard LLMs stumble on complex legal clauses
Standard instruction-tuned LLMs attempt to produce immediate answers without step-by-step verification. Reasoning models generate internal chain-of-thought tokens, cross-referencing sub-clauses before returning verified audit summaries.
This is the work behind our AI and automation practice — agents with real grounding, voice intake, and retrieval that answers from your records rather than the model's training data.
Agents with real tool accessRunning into this in your own stack? Twenty minutes, no deck.
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