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AI agents for legal

AI agents for law firms and legal teams.

Gaper builds and deploys supervised agents for legal operations, intake, document review, contract analysis, and matter management, grounded in your documents with a lawyer in the loop on every judgment call.

Book a free AI assessmentWhat is an AI agent?
Map the workflowBuild the supervised agentSandbox, verify, go live
gaper · agent runtime
$ gaper deploy agent --to production
✓ plan ……………… 4 steps
✓ retrieve …… 1,240 docs grounded
✓ tool ………… salesforce.update_record
✓ eval ………… 12/12 checks passed
● live · p95 1.2s · 0 errors
● in productionowned by your team
In one sentence

An AI agent for legal is software that reads and reasons over legal documents, drafts and reviews, surfaces risk and citations, and routes to a lawyer for judgment, grounded in your matter data with strict access controls.

GroundedCited from your docs
Human gateLawyer in the loop
In your cloudPrivilege protected
You own itCode and audit
Why this matters

Legal work is high-stakes and document-dense. Generic tools cannot be trusted with privilege, citations, or policy, so the work needs grounding, access control, and oversight.

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, systems, and edge cases your team handles today, then turn the repeatable path into an agent workflow map.

  2. 02

    Build the supervised agent

    We build on the right model for the job, with retrieval, evals, guardrails, and human approval gates where the work carries risk.

  3. 03

    Connect your systems

    The agent gets the data, APIs, and write-backs it needs to finish work inside your systems of record, 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.

Intake & triage

Classify matters, capture the facts, and route to the right team.

Contract review

Compare against your playbook, flag deviations, and propose redlines for review.

Clause & risk flagging

Surface risky clauses and obligations with citations to the source.

Document summarization

Summarize long documents and discovery with references back to the text.

Matter management

Keep matters, deadlines, and tasks current across your systems.

Research support

Assemble grounded research with citations, for a lawyer to verify.

Policy Q&A

Answer questions from your policies and precedents, grounded and cited.

Compliance

Check work against policy with an access trail on every document.

Grounded in your documents, not the open web

Answers and drafts are sourced from your matter documents and playbooks with citations, so a lawyer can verify every claim. No invented case law, no ungrounded advice.

  • Cited from your documents
  • No invented citations
  • A lawyer verifies the output
Grounding layer
OpenAIOpenAIClaudeClaudeGeminiGeminiSalesforceSalesforceSnowflakeSnowflakePostgresPostgres
SSORBACAudit logCloud

Privilege and access, protected

The agent runs inside your environment with strict access controls, so privileged material stays privileged and every document touch is logged.

  • Deployed in your cloud
  • Matter-level access controls
  • Full access audit trail
Deploy target
OpenAIOpenAIClaudeClaudeGeminiGeminiSalesforceSalesforceSnowflakeSnowflakePostgresPostgres
SSORBACAudit logCloud

Where legal point solutions stop

Point tools handle one task on one data set; the firm-specific workflows and integrations are where they leave you. We build and deploy custom into your stack, and call build-vs-buy honestly.

  • Custom where products fall short
  • Wired into your DMS and matters
  • Honest build-vs-buy call
Build vs. buy
Buy

Use a product when the workflow is standard and the data path is simple.

Fast startLess control
Build

Build when integration, compliance, or differentiation decide the outcome.

Your stackYour code
Model and stack agnostic
iManageNetDocumentsClioSharePointSalesforceOpenAIClaudeGemini
FAQ

Questions buyers ask us.

What is an AI agent for legal?+
Software that reads and reasons over legal documents, drafts and reviews, surfaces risk and citations, and routes to a lawyer for judgment, grounded in your matter data with strict access controls.
Can it be trusted with privileged material?+
It runs inside your environment with matter-level access controls and a full audit trail, so privileged material stays privileged and every document touch is logged.
Does it invent case law or citations?+
No. Output is grounded in your documents and playbooks with citations, and a lawyer verifies it. The agent is built to say it does not know rather than fabricate.
What legal workflows can you automate?+
Intake and triage, contract review, clause and risk flagging, document summarization, matter management, research support, and policy Q&A.
Does it work with our document system?+
Yes. We integrate with iManage, NetDocuments, Clio, SharePoint, and your systems via their APIs.
Who owns it after launch?+
You own the code and the audit trail. We can hand it to your team or run it under an SLA with monitoring and ongoing evals.
Keep exploring
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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