AI for Law,Built to Cite
We deploy AI for boutique and mid-market law firms: discovery acceleration, contract intelligence, and redlining copilots that cite the exact clause and page. We ship inside the systems your firm already runs (iManage, NetDocuments, Clio), not on top of them.
Slow work we see in Legal.
These are the repeated workflows where time disappears, handoffs break down, and AI can help without replacing human judgment.
Discovery Review Takes Nights
Associates and paralegals tag privilege, sort exhibits, and search large productions by hand. The work is repeatable, but every result still needs a source the supervising lawyer can verify.
Fallback Language Gets Rewritten
Clause positions live in old redlines, email threads, and partner memory. Teams keep redoing the same review because the firm does not have a trusted clause library tied to its standards.
Research Memos Need Citations
A first pass memo is only useful if every claim traces back to the exact case, clause, or page. Generic copilots move fast, but one bad citation can kill trust across the firm.
Matter Data Is Scattered
Conflicts, intake, budgets, staffing, and documents live across separate systems. Practice leads often see the full picture after the staffing decision has already been made.
What we can build for Legal.
Secure agents, workflow apps, and enablement built around the systems your team already trusts.
Secure Research Copilot
A research agent that reads approved matter files, returns exact citations, and routes answers through lawyer review before anything leaves the firm.
Contract Intelligence Agent
Clause extraction, fallback comparison, redline triage, and clause-library lookup inside the tools your team already uses.
Enterprise Tenant Deployment
Agents run in your Microsoft Azure tenant or approved cloud environment with permissioning, audit logs, review queues, and model access your risk team can govern.
Practice Group Enablement
Role-specific training, prompt libraries, and playbooks for partners, associates, paralegals, and operations staff so the agents become part of daily legal work.
See what AI can actually do inside your Legal operation.
Start with a focused discovery sprint. We map the highest-leverage work, show you the ROI before you commit, and ship a working version in weeks, on a stack you own.
We're publishing legal case studies as engagements close.
Until they're live here, get a private walkthrough. We'll share the work the client hasn't cleared for the public site yet, with named outcomes and stack details.
AI that cites the page, not the press release.
We are an Anthropic Official Partner and a Microsoft Cloud Partner. We bring 15+ years of ERP implementation experience to legal, and we deploy AI across the Microsoft and Anthropic stacks where it changes the P&L.
- Anthropic Official Partner — Claude in production for citation-sensitive workflows where a fabricated cite is malpractice.
- Microsoft Cloud Partner — AI lives on the same Azure tenant your firm's IT and risk teams already audit.
- Operators on staff who've shipped contract intelligence in regulated industries — electrical contracting, financial services, insurance — where every clause matters.
- Fixed-scope engagements scoped to respect billable-hour cadence — no quarter-end disruption to the practice.
- The systems we build don't replace partner judgment — they free it for the work clients pay $1,200 an hour for.
- Citation trails, review queues, and permissioning are built into the workflow from day one.
AI in Legal, answered.
Straight answers to what leaders in this vertical ask before they start. No fine print, no sales spin.
- What is AI for legal research?
- AI for legal research uses large language models to read case law, statutes, and a firm's own documents, then return a grounded answer with citations to the exact case, clause, and page. The best systems are retrieval-based, so every result links back to a source a lawyer can verify rather than generating an unsupported summary.
- Is AI for legal research accurate enough to rely on?
- It is when it is built correctly. Reliable AI for legal research is grounded in a defined document set, enforces a citation on every claim, and routes the output through a supervising attorney before it is used. General consumer chatbots are not safe for this work because they can invent citations. The deployment pattern, not the model alone, determines whether it is defensible.
- How does AI for legal work inside iManage, NetDocuments, or Clio?
- We connect AI for legal directly to your document and practice management systems through their APIs. Search, privilege review, and clause retrieval run against the documents already in iManage, NetDocuments, or Clio, and results are written back into the matter file. Lawyers use it inside their existing workflow instead of copying text into a separate tool.
- Will AI replace associates or paralegals?
- No. AI for legal handles the high-volume, repetitive parts of discovery, document review, and first-draft work, and a lawyer reviews and owns the result. It removes hours of manual tagging and rereading so associates and paralegals can spend time on analysis, strategy, and the client work that requires judgment.
- Is client and matter data kept confidential?
- Yes. We deploy on Anthropic Claude and on your own Microsoft Azure tenant, so data stays inside the environment your IT and risk teams already audit. Prompts and documents are not used to train public models, and access controls and audit trails are scoped to match ethical-wall and confidentiality obligations.
- How long does it take to deploy AI for a law firm?
- A focused discovery sprint takes about a week and produces a ranked list of where AI saves the most hours. From there a contract intelligence or research copilot typically reaches production in a few weeks on a fixed scope and fixed price, with rollout timed around your billable cadence rather than dropped on the practice at quarter-end.
AI for legal research, built to cite.
AI for legal research is the highest-value place most firms start, and for good reason. A research copilot can read the full record, surface the controlling authority, and draft a first memo in minutes instead of an associate's afternoon. The only version worth deploying is one that cites the exact case, clause, and page, so a partner can verify every answer before it leaves the building.
We build AI for legal teams that runs inside the systems you already trust. Document review, privilege tagging, and discovery sorting connect to iManage, NetDocuments, and Clio, so the work shows up in the matter file instead of a separate AI tab. Associates stop spending nights tagging documents by hand, and that time goes back to billable work clients actually pay for.
Contract intelligence is the second big win. A redline copilot reads every incoming agreement, flags the indemnity, payment, and termination language against your fallback positions, and pulls the right clause from a shared library. Partners stop re-reading the same fallback language on every deal, and your firm standards survive the next associate rotation.
Every system we ship for legal is built to be defensible. Citations are enforced, answers are grounded in your own documents, and a human reviews before anything binds the firm. We deploy on Anthropic Claude for citation-sensitive work and on the same Microsoft Azure tenant your IT and risk teams already audit, so AI for legal research and contract review can stand up to a malpractice review and bar-association scrutiny.
Most firms start with a focused discovery sprint, then build, deploy, and train in sequence, so the rollout respects billable-hour cadence and never lands on a quarter-end Friday. The same citation discipline ports to adjacent work in insurance and private equity diligence, where every clause and number has to trace back to a source.
Browse other industries.
The Wyecliff method ports between verticals. If your operation runs adjacent to this one, the playbook is already shaped for your stack.
Tell us your biggest problem.
We'll show you the ROI.
Drop the problem in the box. A Wyecliff partner replies inside one business day with two ideas you can ship in 30 days. No pitch deck, no sales call required.