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ai automation for law firms

Gaper builds production AI agents that run intake, document review, and back office for law firms.

Gaper designs, builds, and deploys supervised AI agents into the systems your firm already runs: your practice management, document store, and email. Every agent keeps a lawyer in the loop on legal work, writes back to your matter records, and leaves an audit trail.

Book a free AI assessmentWhat is an AI agent?
Map the workflowBuild the supervised agentSandbox, verify, go live
gaper · opportunity map
Support triage92
Invoice processing84
Lead enrichment71
Report drafting58
ranked by ROI × feasibilityship #1 first
In one sentence

AI automation for law firms is a set of supervised production agents that run repeatable legal operations work, client intake, document review, and back office tasks, inside a firm's existing systems. The agents draft and route work, write back to matter records, and escalate every legal judgment to a lawyer for review.

ProductionNot another demo
Model-agnostic
In your cloudYour auth, your data
You own itCode, evals, runbook
Why this matters

Most firms have tried a legal AI tool and watched it stall as a demo: it never touched the matter system, never wrote back, and no one owned it in production. The gap is not the model, it is getting a reviewed, governed agent live inside your real workflow.

Production filter
  • Does it touch real systems?
  • Can the outcome be measured?
  • Where does human approval stay?
  • Who owns it after launch?
Free AI assessment

Book a free assessment. We will identify one high-leverage workflow, make the build-vs-buy call, and scope the smallest production release.

Map your first production agent
How we work

From strategy to production, owned by your team.

  1. 01

    Map the workflow

    We start from the documents, SOPs, portals, inboxes, and spreadsheets your team already uses, then turn the repeatable path into an agent workflow map.

  2. 02

    Build the supervised agent

    We build on OpenAI, Claude, Gemini, or the right model for the job, with evals, guardrails, citations, and human approval gates where risk matters.

  3. 03

    Connect the stack

    The agent gets the data layer, APIs, MCP tools, auth, and write-backs it needs to finish work inside your systems, not beside them.

  4. 04

    Sandbox, verify, go live

    We launch in a sandbox, verify every run, then move into supervised production with traces, rollback, and an owner.

What we build

Agents wired into the systems you already run.

Client intake and conflict triage

An agent collects intake details, structures the matter, runs first-pass conflict and eligibility checks, and routes a clean summary to the responsible attorney for sign-off.

Document review and summarization

Agents read contracts, discovery, and case files, flag clauses and anomalies, and produce sourced summaries. A lawyer reviews and approves before anything is relied on.

Drafting with citations to source

Agents draft routine correspondence, memos, and standard clauses grounded in your templates and matter files, with every claim traceable back to its source document.

Back office automation

Agents handle time-entry cleanup, billing prep, matter intake to your practice management system, and document filing, with approvals on anything that touches money or the client record.

Deadline and matter tracking

An agent watches matter activity, surfaces upcoming deadlines and missing documents, and notifies the right person before a date slips.

Human review on legal work

Every consequential or legal-judgment step routes to a named reviewer. The agent proposes, a lawyer decides, and the decision is logged for the file.

Deployed inside your firm's systems

We build into where your matters and documents already live: your practice management system, document store, and email, running in your cloud on your data and your access controls. The agent inherits your security posture instead of creating a new place client data can leak.

  • Runs in your cloud on your auth
  • SSO, role-based access, and audit logging
  • No client data retention you did not ask for
Deploy target
OpenAIOpenAIClaudeClaudeGeminiGeminiSalesforceSalesforceSnowflakeSnowflakePostgresPostgres
SSORBACAudit logCloud

A lawyer reviews the legal work

Legal judgment stays with the firm. We build approval steps, escalation paths, and audit trails so an attorney signs off on anything consequential, and every agent action on a matter is logged for the file.

  • Approvals on legal and billing steps
  • Full audit trail per matter
  • Clear escalation when the agent is unsure
Control room
approval queue3 cases need human sign-off

Low confidence, policy exception, or protected data.

01Source checked02Risk scored03Human approved04Audit trail saved

You own the agent, the code, and the runbook

We hand over a documented codebase, the evals that gate each release, and a runbook your team can operate. The agent can go live in as little as 24 hours, and it stays yours to extend with no lock-in.

  • Documented code and evals delivered to you
  • Live in as little as 24 hours
  • Extend and operate it without us
Handover state
handoff packageCode, runbook, evals, dashboard
owned by your team
Source repoRunbookEval suiteOwner training

Access your auth

Data your environment

Ops monitor or handoff

Model and stack agnostic
OpenAIClaudeGeminiMCPYour APIsSnowflakeSalesforcePostgres
FAQ

Questions buyers ask us.

What does Gaper actually build for a law firm?+
Supervised production AI agents that run intake, document review, drafting, deadline tracking, and back office work inside your existing practice management system, document store, and email. The agents draft and route work and write back to your matter records, with a lawyer reviewing every legal judgment.
How is client data kept secure?+
Agents run in your own cloud on your data and your access controls, behind your SSO and role-based access. We add per-matter audit logging and set data retention to what you specify, so the agent inherits your existing security posture rather than widening it.
Can we keep lawyers in control of the legal work?+
Yes. Every consequential or legal-judgment step routes to a named reviewer for sign-off. The agent proposes, an attorney decides, and each decision and action is logged to the matter file.
Which AI models do you use, and how fast can we go live?+
We are model-agnostic and build on OpenAI, Claude, or Gemini, choosing per task. A first supervised agent can be live in as little as 24 hours, and we hand over the code, evals, and a runbook so your team owns it.
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Production AI agents, shipped with an owner

Ready to deploy your first agent?

Book a free 30-minute assessment. We'll map the highest-leverage workflow and scope the smallest thing worth shipping, live in as little as 24 hours.

Build, deploy, runYour cloudYou own the code