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<div align="center">
  <img src="https://cdn-avatars.huggingface.co/v1/production/uploads/69e9f4d92a09c772420b42d0/ExIuqQi9htcT0oFbZAgUu.png" width="140" alt="JudicialMind logo" />

  <h1>JudicialMind</h1>

  <p><strong>The AI-Native Legal Intelligence System</strong><br/>
  Powering the world's most ambitious law firms and enterprise legal departments.</p>

  <p>
    <a href="https://judicialmind.ai"><img alt="Website" src="https://img.shields.io/badge/website-judicialmind.ai-0ea5e9"></a>
    <a href="https://huggingface.co/datasets/judicialmind/legal-training-dataset"><img alt="Flagship dataset" src="https://img.shields.io/badge/dataset-legal--training-ffd21e"></a>
    <img alt="License" src="https://img.shields.io/badge/research-open--access-success">
  </p>
</div>

---

## 🧭 Who we are

JudicialMind builds an orchestrated system of specialized AI agents that work like a legal team β€” 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** β€” matter-level intelligence and scalable research capacity
- **In-house legal teams** β€” contract, risk, and compliance workspaces
- **Solo & boutique practices** β€” affordable, agent-led practice leverage
- **Courts & ADR bodies** β€” dispute triage and caseflow intelligence

---

## 🧠 The Platform

| Product | What it does |
| --- | --- |
| **Intelligence** | Legal knowledge graphs, case-law reasoning, jurisdiction-aware retrieval |
| **Workspace** | Agent-native drafting, review, and matter orchestration |
| **Disputes** | ODR / ADR workflow automation and dispute resolution agents |

---

## πŸ“¦ Open artifacts on Hugging Face

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

### Datasets
- [**`judicialmind/legal-training-dataset`**](https://huggingface.co/datasets/judicialmind/legal-training-dataset) β€” 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 β€” we are releasing family of fine-tuned retrieval, reranking, and legal-reasoning models trained on our corpus._

### Spaces
_Coming soon β€” interactive demos for legal retrieval, agent workflows, and dispute-resolution tooling._

---

## πŸ”¬ 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

---

## 🀝 Connect

- 🌐 Website β€” https://judicialmind.ai
- πŸ“§ Contact β€” [surya@judicialmind.ai](mailto:surya@judicialmind.ai)
- πŸ§‘β€βš–οΈ Early access β€” [judicialmind.ai/waitlist](https://judicialmind.ai/waitlist)

<sub>Β© JudicialMind. Built with care for the practice of law.</sub>