Law firms and in-house legal teams waste thousands of billable hours on first-pass contract review, routine legal research, and document extraction. Claude handles the volume work. Your lawyers handle the judgment calls.
Legal AI fails when teams treat it as a general chatbot. It works when it's built on a proper retrieval architecture with your documents, your style guides, and your risk thresholds. Here's what we build.
Deploy Claude to perform first-pass contract review against your standard playbook — flagging non-standard clauses, missing provisions, liability exposure, and jurisdiction-specific risks. Output: a structured red-line summary your lawyers review in 15 minutes, not 2 hours. Works on NDAs, MSAs, employment agreements, and complex commercial contracts.
Connect Claude to your legal research databases via MCP — Westlaw, LexisNexis, or your internal case library — and get synthesised research memos with citations in minutes. Unlike consumer AI tools, our architecture retrieves actual cases before generating responses, eliminating hallucinated citations as a structural matter, not a prompt engineering prayer.
For litigation support and regulatory investigations, Claude processes large document volumes — identifying privilege, relevance, and key facts at a rate no human review team can match. We build eDiscovery workflows with human escalation gates, confidence thresholds, and full audit logs suitable for court admission processes.
Generate first drafts of standard legal documents — NDAs, employment agreements, board resolutions, client engagement letters — trained on your firm's templates and style guide. Claude produces a complete draft for attorney review, not a blank-page starting point. Junior associates stop writing from scratch; senior partners focus on the substance.
In-house legal teams use Claude to monitor regulatory changes, map obligations to internal policies, and generate compliance reports. Claude reads regulatory updates, flags changes relevant to your business, and produces briefing notes for the General Counsel. We connect Claude to your regulatory tracking systems via MCP for continuous monitoring.
Deploy Claude Cowork as an intelligent knowledge assistant for your legal team — connected to your matter management system, precedent library, and internal know-how database. Associates get accurate answers to standard questions without interrupting senior lawyers. Knowledge leaves the firm's systems when people leave; Claude preserves it.
Legal deployments have three distinct requirements that most AI vendors miss: citation accuracy, privilege protection, and clear human accountability for every output. We build these in by design.
We start by identifying where Claude creates genuine leverage — typically high-volume, time-intensive tasks like contract review, research synthesis, and document extraction. We map each use case against your risk appetite: where Claude assists (human reviews output), where it augments (human reviews exceptions), and where it automates (human audits periodically). This scoping document becomes your AI use policy baseline.
Attorney-client privilege is not a checkbox. We design your Claude deployment so that privileged communications, matter-specific data, and client confidences never comingle with non-privileged training or retrieval sources. We implement matter-level access controls, document-level permissions, and strict output isolation. Your professional responsibility obligations are addressed at the architecture level.
Claude's value in legal contexts comes from grounding responses in your specific documents — your contract playbook, your precedent library, your regulatory filings, your past opinions. We build a retrieval-augmented generation (RAG) architecture that grounds every Claude response in retrieved, citeable source documents. When Claude says "Section 12.4 of the ISDA agreement provides...", it's because it read Section 12.4, not because it inferred it from training data.
Contract review systems are only as good as the playbook behind them. We work with your legal team to codify your standard positions — acceptable deviations, fallback positions, escalation triggers — into structured playbooks that Claude applies consistently. Unlike a junior associate who applies the playbook inconsistently, Claude applies it the same way every time, at any volume.
Before production, we run a structured validation phase: testing Claude outputs against known-good attorney reviews, measuring accuracy and recall on your specific document types, and calibrating confidence thresholds. Production includes usage monitoring, output quality tracking, and quarterly reviews. As your legal team's needs evolve, so does the system.
You're a 5-20 person legal team supporting a company that runs at the speed of the business, not the pace of billing cycles. Contract review backlogs, compliance monitoring, and routine research are slowing down deals. Claude handles the volume; you handle the judgment. We've deployed for General Counsels at Fortune 500 companies and high-growth scale-ups.
You compete on quality and relationship — not on associates reviewing documents faster. Claude lets your associates operate at senior associate quality from day one, reduces write-offs on routine tasks, and creates a defensible story for clients on AI-assisted work product. We've deployed for litigation practices, M&A teams, and employment law groups.
You've been tasked with running legal more efficiently without reducing quality or headcount. Claude is the infrastructure play — systematise routine work, eliminate repetitive research, create consistent first drafts. We give you the implementation and the metrics to show the General Counsel what the ROI looks like.
You sit at the intersection of legal and financial services compliance — with SR 11-7, GDPR, MiFID II, and professional responsibility obligations all in scope simultaneously. We've built legal AI systems that satisfy both your legal department's professional responsibility requirements and your firm's model risk management framework. See also our Claude for Financial Services implementation guide.
Read the case study: How a Law Firm Reduced Contract Review Time by 80% with Claude →
Contract review backlogs, citation research, first-draft documents — these are Claude problems, not lawyer problems. Book a call with a Claude Certified Architect who has deployed in legal environments.
Consumer AI tools do. Our deployments don't, because we build retrieval-augmented generation (RAG) architectures that ground every Claude response in documents retrieved from your specific legal databases and knowledge bases. Claude reads the actual source before writing its response. Every citation in a research memo links to the document it was retrieved from. If there's no source, Claude says so — it doesn't invent one.
We design privilege protection at the architecture level, not the prompt level. Privileged documents are stored in isolated, access-controlled repositories. Matter-level permissions ensure Claude only accesses documents relevant to the specific matter being worked on. Outputs are tagged with privilege status. No privileged content crosses into non-privileged workspaces, and no data is used for model training. We provide a written privilege analysis for your professional responsibility review.
Yes. We've built eDiscovery workflows that process large document volumes for relevance coding, privilege tagging, and key fact extraction. These systems include human review gates at defined confidence thresholds, full audit logs with timestamps and decision rationale, and documentation suitable for court admission processes. We do not position Claude as replacing attorney judgment on privilege calls — it flags; attorneys decide.
Multiple bar associations — including ABA, NY State Bar, and California State Bar — have issued AI guidance that permits AI-assisted legal work with appropriate supervision. We provide a professional responsibility memorandum with every legal deployment that maps your specific use case against applicable ethics opinions. This document is reviewed by outside legal ethics counsel before delivery.
A focused contract review deployment (covering 2-3 contract types, using your existing playbook) can be in pilot in 3-4 weeks. A full legal knowledge assistant deployment covering research, drafting, and compliance monitoring typically takes 8-12 weeks from kickoff to production. Timeline is driven more by internal review and sign-off than by technical build time.