NotebookPipeline
Billing reports on autopilot
Build the analysis once in a collaborative notebook, then schedule it as a pipeline so the weekly billing report lands in every partner's inbox automatically.
Talk to your matter, billing and contract data, surface insights across cases, deploy internal tools for partners and associates, and automate recurring reports — all from one secure platform connected to the systems your firm already trusts.
See how it worksAsk your case files, billing and contract data in plain language
From notebook to internal app for partners, associates and operations
Schedule billing reports, conflict checks and compliance updates
From investigating a matter to shipping an internal app, MINEO covers the full journey — connected to the data your legal team already trusts.
Connect any datasource — practice management, billing, document repositories, contract databases — and start asking questions in natural language. Threads auto-generates SQL, runs code, and delivers answers with interactive charts and tables. Build custom AI assistants trained on your firm's playbooks with the model of your choice.
Threads · Matter analysis { "tool": "clio-mcp", "action": "create_task", "summary": "Open a task in Clio for the M&A team to review billable hours" }
via clio-mcp · just now
More than Jupyter. MINEO Notebooks combine code, AI assistant cells, interactive widgets and visual tools in one collaborative environment. Perfect for legal ops, analysts and knowledge managers — explore matters, billing or contract data and deploy as live apps from the same notebook.
File View Block Kernel Help 
Score liability across active contracts using OpenAI structured outputs.
from openai import OpenAI
from pydantic import BaseModel
class Risk(BaseModel): level: Literal["low", "medium", "high", "critical"]; flags: list[str]
df = mineo.query("SELECT counterparty, body, exposure FROM contracts WHERE active")
df["risk"] = df.body.apply(lambda t: OpenAI().responses.parse(model="gpt-5.4", input=t, text_format=Risk).output_parsed)
GPT-5.4 flagged 3 active contracts as Critical, all linked to the same vendor — playbook review needed.
df[df.risk != "low"].sort_values("exposure", ascending=False).head()
| Counterparty | Exposure | Risk |
|---|---|---|
| Acme Corp | $4.2M | Critical |
| Globex Inc. | $2.1M | High |
| Initech | $890K | Medium |
| Sterling LLP | $480K | Low |
Turn notebooks into always-on dashboards and interactive applications for matter management, billing analytics, conflicts, and compliance. Deploy with Streamlit, Gradio, Dash and 6+ more frameworks. Custom domains, white-label branding and SSO — ready for your firm.
Mineo · Practice dashboard Last updated: 2 minutes ago
Revenue
$5.5M
+19% vs Q3
Active matters
428
+8% vs Q3
Realization
92%
+2% vs Q3
| Customer | Region | Revenue | Status |
|---|---|---|---|
| Acme Corp | NA | $245K | Active |
| TechFlow GmbH | EU | $182K | Active |
| Sakura Ltd | APAC | $156K | Pending |
| DataBr SA | LATAM | $98K | Active |
A complete Linux development environment accessible from your browser. Install any package, any tool — Claude Code, Codex, Gemini CLI. Build clause extractors, contract review pipelines and litigation analytics with the libraries you trust, connect to your datasources and collaborate with your team. No local setup required.
VS Code — Dev Environment Explorer
import streamlit as st
from mineo import DataSource
import plotly.express as px
st.set_page_config(layout="wide")
st.title("Matter Dashboard")
ds = DataSource("matters_db")
df = ds.query("SELECT * FROM matters")
# Layout
col1, col2 = st.columns(2)
col1.metric("Revenue", f"${df.amount.sum():,.0f}")
col2.metric("Matters", f"{df.matter_id.nunique():,}")
# Charts
fig = px.bar(df, x="practice_area", y="amount", color="partner")
st.plotly_chart(fig, use_container_width=True)
mineo-dev@workspace:~/project$
Successfully installed plotly-5.22 scikit-learn-1.5
Your app is live at https://matter-dashboard.mineo.app
✓ Deployed successfully
Chain notebooks into production workflows. Schedule recurring runs with cron, trigger via REST API, and monitor execution in real time. From nightly contract ingestion to weekly billing reports — build reliable workflows without infrastructure overhead.
/ Projects / legal / Nightly contract ingestion Elements
Resource Config
Scheduling
API
The biggest unlocks come when MINEO's building blocks share the same logic — the same notebook becomes a nightly pipeline, an internal dashboard, or an answer in a Threads conversation.
Build the analysis once in a collaborative notebook, then schedule it as a pipeline so the weekly billing report lands in every partner's inbox automatically.
Associates query case data conversationally with Threads while partners get the same numbers in an always-on Live App dashboard.
Prototype the extractor in a Cloud Dev Environment, refine it in a notebook with the team, and ship it as an internal Live App for the contracts group.
Use MINEO to talk to your matter, billing and contract data, deploy internal tools, and automate recurring reports — all from the same secure workspace.