Document Review and Drafting
First-draft contracts, policies, briefs, and summaries, with your voice and your standards.
Best for: Law firms, consulting practices, compliance teams, and any team that drafts long documents.
The pain
“Drafting and reviewing long documents eats senior time. Most drafts are 70% the same structure every time. Reviewing is slow and error-prone.”
The outcome
First-draft documents in minutes, with your voice and standards, plus an AI review pass that flags what a senior reviewer cares about.
Long-document work is one of the best fits for AI. We build drafting and review workflows that produce a usable first draft in your voice, flag the things a senior reviewer cares about, and respect your confidentiality constraints.
Engagement snapshot
- Typical timeline
- 3–5 weeks
- Best fit
- Law firms, consulting practices, compliance teams, and any team that drafts long documents.
What gets automated
The mechanical work, handled.
- First-draft contracts, briefs, policies, and letters
- Clause and defined-term extraction
- Red-flag review against your playbook
- Summaries and briefings from long sources
- Consistency checks against your style guide
Recommended tools
We pick per workflow. Not per vendor.
Common stacks we combine for this use case. Your existing tools inform the final recommendation.
- Anthropic Claude (long context, nuanced drafting)
- OpenAI GPT-class (broad capability)
- Microsoft Copilot (Word / Outlook native)
- Azure AI Document Intelligence for structured extraction
Representative scenario
A mid-sized law practice moved from 3 hours to 20 minutes on first-draft NDAs by combining a Claude-backed drafter with their internal playbook. Attorneys reviewed and refined instead of drafting from scratch.
Composite scenario based on typical engagements. Client-specific results depend on scope, data quality, and baseline.
Questions
What teams ask before they automate this.
Consumer AI often does. Purpose-built workflows with your playbook, evals on your corpus, and human review catch the vast majority. We deploy with guardrails appropriate to the risk tier.
Not unless you allow it. We deploy via Azure OpenAI, AWS Bedrock, or API configurations with zero retention and no training on your data. We document exactly what crosses the boundary and why.
How we help
Engagements that ship this outcome.
Claude for Knowledge Workflows
Deploy Anthropic Claude for document-heavy, knowledge-intensive work, safely.
Explore3–4 weeksAI Agent Sprint
Ship a production AI agent that takes recurring work off your team in three to four weeks.
Explore10 business daysWorkflow Automation Assessment
Find where AI and automation save your business ten or more hours a week. Ten days, written roadmap.
Explore2–3 weeksChatGPT Enterprise Rollout
Secure ChatGPT Enterprise for your whole team, with shipped workflows instead of unused seats.
Explore2–4 weeksGoogle Gemini & Workspace AI
Deploy Gemini across Google Workspace (Gmail, Docs, Sheets, Meet, Drive), securely.
ExploreFurther reading
Go deeper on the decisions behind this.
Copilot vs ChatGPT Enterprise vs Claude for Business: How to Choose
An operator-level breakdown of how to pick between Microsoft Copilot, ChatGPT Enterprise, Anthropic Claude, and custom agents for business workflows.
ReadSOC 2-Safe ChatGPT: Approving AI at a Regulated Company
A control-by-control guide to deploying ChatGPT, Copilot, and custom AI workflows at SOC 2, HIPAA-adjacent, and FINRA-regulated organizations.
ReadWant this running in your business?
20 minutes on the phone tells us if this fits. No pressure. If another engagement makes more sense, we will say so.