Diting SI orchestrates specialized AI agents that cross-check each other's work, trace every claim back to evidence, and plug into the models, knowledge bases, and tools you already trust — built for legal work and every complex knowledge workflow where accuracy is non-negotiable.
Currently in private build — onboarding design partners now.
Legal research, contract review, due diligence — a single hallucinated citation can cost a case, a deal, or a license. Single-model AI is fluent, but fluency isn't evidence.
Confident-sounding but fabricated case law, clauses, and citations slip through single-pass generation.
When an answer matters, "the AI said so" is not a basis for professional judgment or liability.
Your firm's knowledge lives in specific databases and tools. AI that can't plug into them can't do real work.
Not one model doing everything — a coordinated ensemble where each agent has a role, and no claim ships without a second pair of eyes.
Claude, OpenAI, and other frontier models plug in as interchangeable reasoning engines. Best model for each subtask — never locked to one vendor.
Connect your firm's legal databases, document repositories, and knowledge bases. The agents reason over your sources, not just training data.
Agents call real tools through the Model Context Protocol — search, retrieval, document parsing, computation — extending what they can verify.
Independent agents re-derive key conclusions and challenge weak reasoning. Every material claim links back to its source passage.
A planning agent breaks your matter into verifiable subtasks — issues, authorities, clauses, deadlines — and assigns each to a specialist agent.
Specialist agents research, draft, and analyze using your connected sources and tools, while reviewer agents probe for errors, missing authorities, and weak inferences.
You get the work product plus an evidence map: every key claim traced to its source, every disagreement between agents surfaced — not hidden.
Anywhere the cost of being wrong is high and the work is multi-step, a verifying team of agents beats a single guess.
We're onboarding a small group of design partners — legal teams and knowledge-intensive organizations who want multi-agent verification on their hardest work. Tell us what you'd put it to work on.
Request early accessFor design partnerships, product questions, or anything else: