AI for lawyers that takes the first pass on intake, contract review and billing inside your firm's own systems

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.

Agent run: contract reviewSample
  1. Draft receivedCounterparty's master services agreement, 34 pages, filed to matter 2291-004
    Done
  2. Playbook loadedYour client's positions on liability, indemnity, term and governing law
    Done
  3. Clauses comparedThree deviations from the playbook foundCl. 9.2 liability capCl. 11.1 indemnityCl. 14.4 auto-renewal
    Done
  4. Issue list draftedEach point quotes the clause and the playbook position it departs from
    Done
  5. Attorney reviewRedline and issue list sent to the responsible attorney
    Waiting
  6. Saved to the matterApproved redline filed in your DMS, run log entry written
    After approval

What the agent can readOnly the documents this matter needs. Your access rules and ethical screens decide the rest.

Documents in matter 2291-004
Visible
Client playbook
Visible
Approved precedent clauses
Visible
Other clients' matters
Not retrieved
Matters behind an ethical screen
Not retrieved
Billing records
Not retrieved

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

AudinatePinkcubeBizIQCourserAllClear Travel Insurance

AI for law firms: six workflows where an agent takes the first pass

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.

Intake

Conflicts checks at intake

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 records
Contracts

Contract review with clause citations

The 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 cases
Matters

Matter summaries

From 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 documents
Billing

Billing narratives and pre-bill review

The 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 follows
Drafting

Document assembly from your templates

Engagement 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 first
Clients

Prospect and client questions

On 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 reply

What lawyers expect AI to take off their week

4 h

a 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.

95% draw the line at final decisions

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.

50% of law firm respondents rank AI in their top five priorities

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.

Research, summarizing and drafting lead the way

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.

Not knowing where to use it holds people back

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.

Matter-scoped access, ethical screens and a log of every run

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.

Your environment
  1. SourcesDMS, practice management, billingRead through the interfaces they already expose
  2. Context layerScoped to the matterOnly this matter's documents, with your ethical screens applied
  3. AgentSelf-hosted n8nRuns the workflow and its rules in your cloud
  4. ApprovalAttorney sign-offEvery output, before it is filed or leaves the firm

run 8812 · contract review · matter 2291-004 · 2 documents read · 3 deviations cited · approved by responsible attorney · saved to DMS

Outside the boundary

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.

Never allowed
  • An agent sending anything to a client, a court or the other side
  • Client documents used to train models
  • A citation to a clause the document does not contain
Approval gates

A named lawyer on every output

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 governance
Second agent

Every citation checked against the document

Before 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 production
Your cloud

Built and logged in your environment

We 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 Enterprise

Setting 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.

How a law firm AI build runs

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

  1. Jason
    Jason, COO

    AI Audit, if you need one

    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.

  2. Jason
    Jason, COO

    Scope

    One workflow, the systems it touches and what it will take, agreed before you commit. Owen joins the first calls until you are onboarded.

    • The matters and document types each agent may read
    • The outputs that always go to a lawyer
    • The timeline, before you sign
  3. Maciej
    Maciej, CTO

    Build

    Built against your real data, in your environment, as production software from the first week.

    • Staging first, on closed or sample matters
    • Your lawyers use it on real work before go-live
    • Self-hosted n8n in your cloud
  4. Jason
    Jason, COO

    Integrate

    Into production behind your auth, your governance and your monitoring, with your team trained on it.

    • Separate development, pre-production and production environments
    • Runs behind your own auth and access rules
    • Your lawyers and staff trained on the system
  5. Maciej
    Maciej, CTO

    Run and improve

    Watched, fixed and extended in weekly sprints by the engineers who built it.

    • Error alerts to the engineers who built it
    • Weekly sprints that you direct
    • The next workflow, scoped with you

What your firm gets from a build with us

We build each agent around your playbooks and templates and run it in your environment.

What you get
You receiveWorking agents inside your document, practice management and billing systems
Where client documents liveIn your cloud or data center, on self-hosted infrastructure
Fit to your practiceBuilt around your playbooks, templates and client billing guidelines
Legal judgmentMade by your lawyers, approved and logged
TimelineScoped per workflow and agreed before you sign
After launchThe engineers who built it monitor and extend it

What law firms ask before building AI agents

Ask us something else

How are lawyers using AI today?

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.

Will AI replace lawyers?

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.

What happens to client documents an agent reads?

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.

Can AI help with law firm intake and conflicts checks?

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.

Should a firm buy a legal AI product or build its own agents?

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.

How do you deploy AI agents in a law firm?

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.

What is generative AI for lawyers good at, and where does it go wrong?

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.

Who runs the system after launch?

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.

Not ready to book a call yet?

Decide

AI Audit

Eight phases across strategy, operations, data and systems, ending in a ranked 90-day roadmap.

See the AI Audit
Prove

AI pilot

A working proof of concept on your own documents, before you commit to the full build.

See the AI pilot
Scope

AI use-case canvas

One page to scope a process, such as conflicts checks or pre-bill review, before anyone builds it.

Open the use-case canvas

Industries close to legal work

Professional services

AI in accounting

Bank reconciliations, close files and tax workpapers, with an accountant signing off on every output.

See AI in accounting
Professional services

AI for consulting firms

Proposals, research syntheses and decks drafted from past engagements, with a partner approving everything a client sees.

See AI for consulting firms
Regulated

AI for insurance agents

Quote intake, renewals, certificates and claims intake for agencies and brokers, with a licensed person approving coverage.

See AI for insurance agents
Deals

AI in private equity

Deal screening, data room review with page citations and portfolio KPI packs, with the deal team making every call.

See AI in private equity

Put your first workflow on the board

Answer a few questions about your team and what you want automated, then Jason scopes it with you on the call.

Owen, Maciej, Jason, Oskar and Ben