Skip to main content

Workforce AI Security

AI Governance for Legal

Workforce AI Security for legal teams using third-party AI for client and internal work.

For legal operations, IT and security leaders responsible for employee AI use.

Client updates
PromptUser or AI agent

Write an update for Maya Patel (0491 570 156) about matter L-2026-310.

Redacted

Identifiers removed

The illustrated identifiers are masked so the request can be reviewed in a safer form before sending.

Protected prompt

Write an update for [REDACTED NAME] ([REDACTED PHONE]) about matter [REDACTED REFERENCE].

Synthetic example

Sensitive content was detected in this illustrated request.

Outcomes

Make practical AI use clearer for legal teams.

View details

Guide the next draft

A visible response helps the user remove or mask illustrated identifiers before sending when policy calls for it.

Give legal and security a common record

Recorded outcomes support a useful policy conversation without turning day-to-day work into a mystery.

Keep professional judgement with the team

Outputs still need the firm’s normal review. Aona does not assess legal accuracy or give advice.

Workflows

Protect client details in everyday legal AI work.

Start with the everyday AI interactions your people already need to complete.

Synthetic example

Draft a status note without pasting client details

Write an update for [REDACTED NAME] ([REDACTED PHONE]) about matter [REDACTED REFERENCE].

ActivityRedacted
Group
Legal
Data
Maya Patel · 0491 570 156 · L-2026-310
Response
Identifiers removed

Sensitive content was detected in this illustrated request.

Aona is a workforce AI security control, not legal advice or a substitute for professional judgement. Confirm each policy response on the AI tool, endpoint and data path you plan to use. Choose backend hosting and prompt processing separately; confirm the supported configuration and data flow before rollout.

Deployment, on your terms

Your infrastructure. Your processing choice.

Choose where the Aona backend runs, then where Aona processes prompts.

Host the Aona backend

  • Your cloud
  • Your on-premises infrastructure
  • Aona-managed servers

Customer cloud, on-premises or Aona-managed hosting.

Process prompts with Aona

  • User device · on-edge
  • Your cloud
  • Your on-premises infrastructure
  • Aona-managed servers

On-device, in your infrastructure or on Aona-managed servers.

Confirm the hosting and processing combination, supported features, logs and retention for your deployment. The destination AI service has its own data handling; on-edge processing does not mean zero telemetry.

Deployment answers

Scope the rollout with the real control boundary.

Confirm the tools, surfaces and data paths that matter before expanding beyond a synthetic test.

View details
01Discovery
Endpoint coverage is required for observed workforce AI use. The catalog tracks 10,000+ tools; catalog presence is not an enforcement promise.
02Controls
Configured prompt and file controls apply on supported tool, surface and action combinations. Confirm the exact workflow with a synthetic test.
03Deployment
The browser extension supports Chrome, Edge, Firefox and Safari. The native endpoint app broadens scope, but provider and transport depth differs; IT deploys it on Windows and macOS with its existing tooling.
04Review
Use recorded policy outcomes to support internal review. They are evidence for your process, not an automatic compliance, classification or risk conclusion.

Buyer questions

Answers for the people accountable for workforce AI use.

Illustrated with synthetic data; confirm your workflow before rollout.

Aona tracks more than 10,000 AI tools in its risk catalog, but that discovery breadth does not mean every tool has an available control. The response depends on the tool, surface, action and endpoint. Confirm your required workflows in the evaluation.

Focused evaluation

Evaluate one matter-administration workflow.

Bring the AI tool, an anonymised work example and the rule your firm wants to test. We will show the employee experience, policy outcome and scope questions that affect deployment.

Book a legal demo
Client updates
  1. Matter workflow and intended AI use
  2. Synthetic request and sensitive-data rule
  3. Employee response and review record
  4. Endpoint scope and rollout plan

Synthetic example

Updated