Announcing Dome Managed Agents.

Try it now

AI agents for law firms

Give your lawyers agents that respect every ethical wall. Three agents for conflicts, clause extraction and redlines, each acting as the lawyer who asked. An agent reads only the matters that lawyer can read. Every call it makes lands in one audit record.

Any tool, any model,any use case.

Our example demonstrates three agents for your matter work, pulled from our template library. Our team can work with yours to build, govern, and operate your agents as you deliver on your IT strategy.

Check new matters for conflicts

Searches Intapp and past matters in iManage for parties that conflict with a proposed engagement. It reports. It never clears a conflict.

Tools
Intapp OpeniManage Work
Model
Claude Sonnet 5or any approved provider
Runs
On new matter intake
Limits
Acts as the lawyerRead-onlyClient data redacted

Tuned for your team

  • Party matching against Intapp's related-entity graph
  • Results scoped to the requesting partner's practice group

Enforce walls, confidentialityand sign-off in one place.

Dome sits between the agents and the firm's systems. Every call is checked against rules your team writes before it reaches iManage, Intapp or a model.

Acting as

agent clause-extractor · acting as l.brandt
imanage/get_document(matter: "39107-001")
  1. Agentclause-extractor is registered and active
  2. Callerl.brandt verified through Entra ID
  3. Toolget_document is granted on matter-tools
  4. Rulel.brandt is staffed on 39107-001
DecisionAllowed

Show a client exactlywhat an agent touched.

One record for every call: the agent, the lawyer it acted for, the system, and the decision. Enable investigations, increase confidence and reduce risk in agentic operations.
Audit · matter-tools
Events 0Denied 0
0 audit events

Meet your professional dutieswith evidence.

Firms answer to the Model Rules and to the courts. These are the duties AI agents reach, and what the controls above give you for each.
Meet your professional duties
RegulationWhat it asksWhat Dome gives you
ABA Formal Opinion 512
What it asks
Lawyers using generative AI must protect client confidences, supervise the tools and stay alert to conflicts, under the existing Model Rules.
What Dome gives you
Each agent acts as the lawyer who asked and reads only that lawyer's matters. Identifiers are stripped before a model call, and the audit record shows what each agent read.
Privilege after United States v. Heppner
What it asks
In 2026 the S.D.N.Y. found no privilege for material made with a public AI tool, and left room for enterprise tools with confidentiality terms.
What Dome gives you
Agents reach only the models the firm approved, through one gateway, with client data redacted. Public tools aren't in the path.
Ethical walls (Model Rules 1.7, 1.9, 1.10)
What it asks
Screened lawyers must be kept away from a matter, and the firm must be able to show it.
What Dome gives you
A rule checks matter access on every call, so a wall applies to the agent exactly as it does to the lawyer. Refused reads are recorded.

Common questionsabout agents in legal.

Does using AI waive attorney-client privilege?
Courts have started to say it can. In United States v. Heppner (S.D.N.Y. 2026), material made with a public AI tool wasn't privileged; the court noted enterprise tools with confidentiality terms may differ.
How do ethical walls work with AI tools?
The agent carries the identity of the lawyer who asked, and a rule checks that lawyer's matter access before every read. A walled lawyer's agent is refused the same way the lawyer would be.
What does ABA Formal Opinion 512 require?
It applies the existing Model Rules to generative AI: competence, confidentiality, communication, supervision and reasonable fees. It expects firms to understand and control the tools they use.
Can AI agents send documents to clients?
Not on this setup. The redline agent saves drafts to iManage and is refused when it tries to create a DocuSign envelope.
How are AI agents used in law firms?
Conflicts checks, clause extraction and redlines are common first agents. Each reads as the lawyer who asked and drafts instead of sending.

Spend 30 minuteswith our FDE team.

See the platform and how it fits your needs. Our FDE team can get your first agent under management and work with your platform team to deliver results for your AI program.

Key topics to discuss:

  • Review your AI plans, progress to date, and timeline for agentic projects in production.
  • Planning a specific agent, or agentic app, to bring under governance.
  • Learning more about our platform capabilities, from gateways to routing.
  • Defining agentic operations as repeatable golden pathways for Platform and AppDev teams.

Other industriesDome works in.

All industries

AI agents for financial services

KYC reviews, client servicing and SAR narratives. Approvals, money movement and filings stay with your people.

  • Review onboarding documents

    Checks identity and entity documents against your CDD requirements, runs sanctions screening and writes the KYC summary. An analyst approves.

  • Answer client requests

    Reads the client's accounts and open cases and drafts the reply to a servicing request. It never moves money or changes an account.

  • Draft SAR narratives

    Pulls the alert history and transactions for a case and drafts the SAR narrative. An investigator edits it and files.

Answers to

GLBA Safeguards RuleBSA/AML and the FinCEN CDD RuleNYDFS Part 500Regulation E (EFTA)CFPB UDAAPInteragency third-party risk guidanceECOA and Regulation BFCRA+10 more

AI agents for gaming and sports betting

Player support, responsible gaming review and bonus setup. Self-exclusions and limits stay out of an agent's reach.

  • Answer player questions

    Looks up a player's account, bets and withdrawal status so a specialist can answer fast. It reads. Balances and limits stay with people.

  • Review responsible gaming signals

    Reviews players flagged for risky play and drafts case notes for the responsible gaming team. It never changes a limit.

  • Configure bonuses

    Sets up deposit matches and free bets from a campaign brief, up to the cap you set. Self-excluded players are never targeted.

Answers to

State gaming regulationsBank Secrecy Act (FinCEN casino rules)Age, identity and location checks

AI agents in healthcare

Prior authorizations, visit notes and eligibility checks. Agents read only the charts their clinician can read.

  • Assemble prior authorizations

    Pulls the notes, orders and imaging a payer asks for into one authorization packet. A clinician reviews it and submits.

  • Draft visit notes

    Drafts a visit note from the encounter and the chart, in the department's template. The clinician edits it and signs it.

  • Verify eligibility before the visit

    Checks coverage for the next day's appointments overnight. Anything that needs a call before the visit goes to the patient access channel.

Answers to

HIPAA minimum necessaryBusiness associate agreementsHIPAA Security Rule audit controlsCMS prior authorization rule (CMS-0057-F)

AI agents for insurance claims

Claim intake, file summaries and fraud screening. Agents read only the claims assigned to their adjuster.

  • Triage new claims

    Reads each first notice of loss, sets severity and line of business, and routes it to the right adjuster queue. It flags. It never settles.

  • Summarize claim files

    Summarizes medical records, police reports and correspondence in a claim file for the assigned adjuster. Only claims that adjuster handles.

  • Screen claims for fraud signals

    Checks each open claim against prior claims history and flags patterns for the special investigations unit. It never denies a claim.

Answers to

NAIC Model Bulletin on AI SystemsUnfair claims settlement practices lawsInsurance data security laws

AI agents for professional services firms

Proposals, staffing and engagement status. Each agent sees only the engagements its consultant works on.

  • Draft proposals

    Reads an RFP and drafts a response from the firm's reuse library. Client names in past work are stripped before the model sees them.

  • Match staff to engagements

    Matches skills and availability to a new engagement's roles and proposes a team. Resource managers make the assignments.

  • Report engagement status

    Reads the project plan and engagement files and drafts the weekly status report. It sees only engagements its consultant is on.

Answers to

Client confidentiality termsAICPA Confidential Client Information RuleSOC 2GDPR and state privacy laws

AI agents for retail

Order lookups, replenishment and product copy. Refunds, orders and publishing stay with your people.

  • Answer order questions

    Looks up orders, shipments and returns so an associate can answer a customer fast. It reads. Refunds stay with the associate.

  • Plan replenishment

    Forecasts demand by store and drafts purchase orders against par levels. Buyers review them and send them.

  • Write product copy

    Writes product titles and descriptions from supplier data, in your voice, and saves them as drafts. Merchandisers publish.

Answers to

PCI DSS v4.0.1State privacy laws (CCPA/CPRA)SOX internal controlsFTC Act, Section 5Antitrust and algorithmic pricingPredictive scheduling lawsRouting guides and carrier contracts

AI agents for software companies

Escalation triage, incident summaries and release notes. Agents read code and incidents. Shipping stays with engineers.

  • Triage engineering escalations

    Reads an escalated ticket and the code it points to, drafts a diagnosis and sets priority. Fixes stay with the engineer.

  • Summarize incidents

    Follows an incident's timeline and recent deploys, drafts status updates and a first postmortem. It never acknowledges, pages or resolves.

  • Draft release notes

    Reads the pull requests merged since the last release and drafts customer-facing notes. The release stays a draft until an engineer publishes it.

Answers to

SOC 2ISO/IEC 42001EU AI ActState privacy laws (CCPA/CPRA)

Governance at theagent‑action boundary.

However an agent was built and wherever it runs, the same three boundaries are available to control it: the code it ships as, the tools it calls, and the model it reasons through.

Agent Registry

Make every agent known and manageable. Credentials issued, capabilities declared, lifecycle owned.

MCP Gateway

Evaluate every call against policy with full context. Allow, deny, or escalate. Filter what comes back.

Model Broker

Constrain how the agent reasons. Selection by policy, routing across providers, evals against real traffic.