Your associates and staff spend hours on conflicts checks, first-pass contract review, matter summaries and pre-bill narratives. We build AI agents that do that first pass inside your document management, practice management and billing systems, cite the clause or record behind every point, and stop for a lawyer's approval before anything leaves the firm. A second agent checks every cited clause against the document before a lawyer sees the draft.
Jason, our COO, runs the call and scopes the first workflow with you. Want to see the method first? Read how we work.
What the agent can readOnly the documents this matter needs. Your access rules and ethical screens decide the rest.
Illustrative run. Documents, playbook positions and approval routing are set per workflow during scoping. The agent never sends a redline to the other side.
Clients include





Start where the volume is high, the firm's rules are written down, and a lawyer or paralegal already reviews the work before it counts. These six meet all three, and each one ends with a person signing off.
The agent reads the intake form or email, pulls out the parties, related entities and adverse parties, searches your conflicts records and prepares a memo with every hit listed. Your conflicts attorney clears the matter, and the agent never opens one.
How the agent reads your conflicts recordsThe agent compares an incoming draft with your client's playbook and your approved precedent, then lists each deviation with the clause number and the quoted text. The responsible attorney accepts, edits or rejects every point.
Contract clause review among 25 use casesFrom the pleadings, correspondence and notes on file, the agent drafts a matter summary and a chronology, each line linked to the document it came from, so a partner joining the matter starts from a page instead of a folder.
How agents read a firm's documentsThe agent rewrites terse time entries into narratives that follow each client's billing guidelines, flags block billing and entries the guidelines exclude, and hands the billing partner a pre-bill with every change marked.
How billing guidelines become rules an agent followsEngagement letters, NDAs and standard agreements are assembled from your own templates and the matter's facts, with every field the agent filled listed for the drafting lawyer to confirm before anything goes out.
Prove it on your own templates firstOn your website or client portal, the agent answers questions about practice areas, fees, documents to bring and matter status, collects intake details, and hands anything that asks for legal advice to a person with the conversation attached.
How a second agent checks every replya week that legal, tax and compliance professionals predict AI will save them in the next year
Source: Thomson Reuters, 2024 Future of Professionals report (survey of more than 2,200 professionals, April and May 2024).Thomson Reuters asked more than 2,200 professionals in legal, tax and compliance work what AI will change. These are their predictions and views, and each one maps to how we build.
Respondents agreed that letting AI represent clients in court or make final decisions on complex legal matters is a step too far. Every agent we build stops at a lawyer's approval, and your lawyers keep the judgment.
That is for the next 18 months, just ahead of productivity at 49%. The AI Audit ranks your candidate workflows by value, effort and risk, so the first build goes where the hours are. The automation ROI calculator shows the payback month for one candidate before you talk to anyone.
63% of respondents already use AI as a starting point for tasks, most often those three. Matter summaries and first drafts built on your own documents are where a firm's agent starts.
Among the reasons respondents gave for not using AI yet, 35% were unsure what type of work it can do. AI training on your own workflows shows your lawyers and staff on their own matters.
Source: Thomson Reuters, 2024 Future of Professionals report, press release of 9 July 2024. Survey of more than 2,200 professionals in legal, tax and accounting, and risk and compliance, conducted online in April and May 2024. The time figures are respondents' predictions.
Your general counsel and risk partner will ask which documents the agent read, what it produced and which lawyer approved it. We build those answers into the system before it goes live, and the agent works within the access rules your firm already sets.
run 8812 · contract review · matter 2291-004 · 2 documents read · 3 deviations cited · approved by responsible attorney · saved to DMS
A model provider receives the scoped text a task needs, under your own agreement with that provider, or is replaced by a model you host.
Conflicts memos, redlines, summaries and pre-bills wait for a named approver before anything is filed or sent. Each workflow has an owner and an escalation path before it goes live.
See enterprise AI governanceBefore a draft reaches a lawyer, a second agent confirms that each cited clause exists and says what the draft claims, and sends it back with the problem named if not.
What works for agents in productionWe deploy on self-hosted n8n in your cloud or data center, behind your single sign-on, with permissions inherited from the systems the agent reads. Every run is logged with the documents it read, what it produced and who approved it.
Self-hosting, SSO and n8n EnterpriseSetting the firm's rules for AI use first? Start from our AI use policy template, which covers data, tools and human review, and see where the firm stands with our AI readiness checklist.
The same team carries your workflow from the first call to the system running in production, and every build is tested in staging before it goes live. See how we work
Eight phases across strategy, operations, data and systems over 4 to 8 weeks, ending in a ranked 90-day roadmap. The fee is credited toward your first build.
One workflow, the systems it touches and what it will take, agreed before you commit. Owen joins the first calls until you are onboarded.
Built against your real data, in your environment, as production software from the first week.
Into production behind your auth, your governance and your monitoring, with your team trained on it.
Watched, fixed and extended in weekly sprints by the engineers who built it.
We build each agent around your playbooks and templates and run it in your environment.
| What you get | |
|---|---|
| You receive | Working agents inside your document, practice management and billing systems |
| Where client documents live | In your cloud or data center, on self-hosted infrastructure |
| Fit to your practice | Built around your playbooks, templates and client billing guidelines |
| Legal judgment | Made by your lawyers, approved and logged |
| Timeline | Scoped per workflow and agreed before you sign |
| After launch | The engineers who built it monitor and extend it |
Mostly for research, summarizing and drafting: in the Thomson Reuters 2024 survey, 63% of professionals used AI as a starting point for tasks, with those three cited most. Inside a firm, the bigger gains come from agents wired to your own systems: a conflicts memo prepared at intake, a draft reviewed against your playbook, a matter summary built from the file, a pre-bill checked against billing guidelines. In each one a lawyer reviews the work before it counts.
The systems we build do not replace lawyers. The agent takes the first pass on reading, comparing and drafting, and a lawyer makes every call that carries legal judgment. It cannot file, send or sign anything. In the same survey, 95% of respondents said letting AI make final decisions on complex legal matters is a step too far, and our approval gates are built on that line.
They stay in your environment. A context layer gives the agent only the documents of the matter in hand and applies the ethical screens your firm already runs. The workflow runs on self-hosted n8n in your cloud or data center, behind your single sign-on. Any external model call carries only the scoped text, under your own agreement with that provider, or goes to a model you host. Every run is logged with the documents read, the output and the approving lawyer, so your risk team has a record to review. Your firm's own counsel decides how those mechanisms meet its professional obligations.
Yes, as preparation. The agent reads each new inquiry, pulls out the parties and related entities, searches your conflicts records and drafts the memo with every hit and near match listed. Your conflicts attorney decides, and nothing is opened or declined without a person. On your website, an intake chat agent can collect the details first and hand the conversation to your intake team.
It depends on the work. A packaged legal AI product suits research and drafting inside its own interface, on its vendor's data terms. A general chat assistant needs lawyers to paste documents in and cannot reach your systems unless someone connects it. An in-house build needs engineers your firm may not employ. A custom build with us runs in your environment, connects to your DMS, practice management and billing systems, and belongs to you. A research product and custom agents can run side by side, each on the work it suits. Our build vs buy guide walks through the trade-offs, and AI consulting with us covers the decision when the answer is not obvious.
One workflow at a time. We scope it with you, build it in staging on closed or sample matters, let your lawyers use it on real work, then move it into production behind your auth. If you want proof first, an AI pilot runs 2 to 6 weeks on your own documents and costs $35,000 to $75,000, with the fee credited toward the build. If you have several candidates, the AI Audit ranks them by value, effort and risk over 4 to 8 weeks and ends in a ranked 90-day roadmap. It costs $10,000 to $100,000 depending on scope, and that fee is credited toward your first build too.
It reads, compares and drafts quickly from the documents in front of it. It goes wrong when it answers from memory and produces a citation that sounds right but does not exist. The agents we build cite only text from documents they were given, a second agent checks every citation against the source, and a lawyer reviews the result. For a wider view of which tasks suit agents, see our AI strategy page.
The engineers who built it, in weekly sprints that you direct, with error alerts going straight to them. If another team built workflows you already run, we take them over after a technical assessment of their quality. See AI managed services.
Bank reconciliations, close files and tax workpapers, with an accountant signing off on every output.
See AI in accountingProposals, research syntheses and decks drafted from past engagements, with a partner approving everything a client sees.
See AI for consulting firmsAnswer a few questions about your team and what you want automated, then Jason scopes it with you on the call.
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