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🧭 Who we are

JudicialMind builds an orchestrated system of specialized AI agents that work like a legal team — every agent with a domain expertise, composed into directed workflows that run end-to-end legal operations: intake, research, drafting, negotiation, dispute resolution.

We serve:

• AmLaw firms — matter-level intelligence and scalable research capacity
• In-house legal teams — contract, risk, and compliance workspaces
• Solo & boutique practices — affordable, agent-led practice leverage
• Courts & ADR bodies — dispute triage and caseflow intelligence

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🧠 The Platform

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📦 Open artifacts on Hugging Face

We publish the datasets and components that power our research openly wherever we can.

Datasets

• judicialmind/legal-training-dataset — 3.69M annotated query-passage pairs across 35 languages for training legal IR, QA, and semantic-search models. Rich metadata per row: query_type, legal_domain, difficulty, jurisdiction. ~2.6 GB, 264 parquet shards, A/B/C file-level split for clean train/val/test partitioning.

Models

Coming soon — we are releasing family of fine-tuned retrieval, reranking, and legal-reasoning models trained on our corpus.

Spaces

Coming soon — interactive demos for legal retrieval, agent workflows, and dispute-resolution tooling.

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🔬 Research focus

• Multilingual legal retrieval at scale (35+ jurisdictions)
• Reasoning over structured legal knowledge graphs
• Agent composition for multi-step legal workflows
• Evaluation frameworks for factuality, citation integrity, and jurisdictional grounding

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🤝 Connect

• 🌐 Website — https://judicialmind.ai
• 📧 Contact — surya@judicialmind.ai
• 🧑‍⚖️ Early access — judicialmind.ai/waitlist

_{© JudicialMind. Built with care for the practice of law.}