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Getting started
Platform overview
How matters, research, documents, playbooks, and tools fit together in 8rney
8rney is organised around a small set of objects that cover the full lifecycle of legal work — from the first research question to the final signed document.
The core objects#
Matters
The central unit of work. A matter groups all documents, research threads, chats, and drafts belonging to a single deal, dispute, or advisory task. Every piece of output can be traced back to a matter.
Research threads
Live AI-powered research sessions. Each thread holds the question, the AI response with live citations, follow-up questions, and the option to turn the answer directly into a draft.
Documents and SLPs
The drafting surface. Create documents from scratch, generate structured legal products from templates, or open any uploaded file for AI-assisted redlining and revision.
Review tables
Structured extraction grids. Define columns, add documents, and the AI fills every cell — giving you a spreadsheet-style comparison of any clause or attribute across a document set.
Playbooks
Firm-level practice intelligence. Encode your standards, risk thresholds, and preferred negotiation positions into a playbook, then benchmark any document against it in seconds.
Drive and library
The document layer. Upload files, connect Google Drive, and all your source material becomes available to research, the agent, and drafting surfaces — searchable by content, not just name.
How a typical workflow flows#
Create or open a matter
Anchor all activity inside a matter so the team knows where each piece of work lives.
Add source documents
Upload contracts, pleadings, policies, or notes into the matter. Connect Google Drive to pull in files without re-uploading.
Research the legal issue
Run a research question in the Research assistant. Set jurisdiction, attach relevant files, and review cited output before moving forward.
Draft or review the output
Open the Document editor to draft a memo, run an SLP to generate a full brief, or use a Review table to extract clauses from a contract set.
Benchmark against firm standards
Load a Playbook to compare the document against your practice area standards and generate a risk-scored findings report.
Save everything back to the matter
All research answers, drafted documents, and review outputs stay inside the matter — accessible to the whole team without side-channel rescue.
Apps and integrations#
| App | What it is |
|---|---|
| Web app | The main 8rney product — research, matters, documents, playbooks, review tables |
| Word Add-in | Microsoft Word integration — research, draft, and redline without leaving Office |
| Google Drive | JIT search and full sync — Drive files surface in research and the agent |
| 8rneydocs | Internal document ingestion and processing platform for high-volume document sets |
AI models#
8rney runs on two provider backends selectable from the research composer:
| Provider | Model | Best for |
|---|---|---|
| Azure OpenAI | GPT-5.5 | Default — fastest, best latency, Azure data residency |
| Claude Sonnet 4.6 | AWS Bedrock | Alternative architecture, adaptive extended thinking |
| Claude Opus 4.6 | AWS Bedrock | Deepest reasoning — Max thinking tier available |
Each provider exposes Fast → Balanced → Deep → Expert pipeline modes. Claude Opus adds a Max tier with direct Bedrock maximum-thinking for the hardest research tasks.
Anti-hallucination guardrails are active by default across all providers — the AI is instructed to flag uncertain citations rather than fabricate them.
All AI outputs are research and drafting assistance. Final legal judgment, advice, and sign-off remain with qualified human reviewers on your team.
See AI models and providers for the full provider configuration reference.
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