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- Edit this `README.md` markdown file to author your organization card.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ title: LexPipe — AI-Driven Legal Data & Pricing Insights
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+ # LexPipe AI-Driven Legal Data & Pricing Insights
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+ LexPipe helps law-firms turn court records and billing data into
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+ **actionable budgets, AFAs, and profitability models**.
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+ ---
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+ ## What You’ll Find Here
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+ | Asset | Purpose |
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+ |-------|---------|
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+ | **Datasets** | Public-domain legal data cleaned and normalized (e.g., [`time-entries-and-phases`](./datasets/time-entries-and-phases)). |
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+ | **Models & Pipelines** | Reproducible notebooks + Docker images for narrative classification, cost-curve simulation, and docket ingestion. |
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+
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+
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+ ---
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+ ## Why We Open-Source
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+ 1. **Benchmarks raise all boats.** Common datasets let researchers compare models instead of reinventing them.
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+ 2. **Transparency matters in legal tech.** Courts, firms, and clients deserve to inspect the black box.
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+ 3. **Community feedback speeds iteration.** Issues and PRs help us harden schemas and surface edge-cases sooner.
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+
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+ ---
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+ ## Get in Touch
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+ | Channel | Info |
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+ |---------|------|
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+ | Email | **hello@lexpipe.com** |
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+ | Site | <https://lexpipe.com> |
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+ | Book a demo | <https://lexpipe.com/book-a-demo> |
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+ | X / Twitter | **@LexPipeAI** |
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+ | HF Discussions | Open a thread—questions and collab ideas welcome. |
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+ ---
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+ > **LexPipe** is headquartered in New York City and led by former Docket Alarm founder **Michael Sander**. We’re always looking to partner with firms, ALSPs, and researchers pushing the boundaries of legal-data science. Reach out if that’s you.
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