Put AI to work. Keep control.

Deploy approved AI workflows across your firm, with permissions, sources and human review built in.

  • Intake
  • Firm knowledge
  • Matter records
  • Client context
  • Billing & time
  • Policies & controls
  • Review-ready draft
  • Cited summary
  • Recommended next step

Models considered during vendor assessment

01

Start with the right work

Choose work where AI can save meaningful time without creating unnecessary exposure.

02

Keep control in the workflow

Build permissions, sources and human approval into every workflow from the beginning.

03

Measure real adoption

Track usage, review effort and quality so each workflow improves with the firm.

04

Bring the team with you

Give lawyers and staff practical guidance so approved workflows become part of everyday work.

AI should shorten the work, preserve the evidence and leave the final decision with your people.

From useful idea to controlled workflow.

Adopt AI with practical use cases, clear policies, connected systems and human review.

  1. 01

    Step 01: Assess

    Start with the work and the risk.

  2. 02

    Step 02: Integrate

    Put AI where your people already work.

  3. 03

    Step 03: Govern

    Build control into the implementation.

  4. 04

    Step 04: Improve

    Make adoption measurable.

01

Start with the work and the risk.

Before selecting a model or building an assistant, we examine how information enters the firm, where time is being lost, what data each task involves and who remains responsible for the final decision.

02

Put AI where your people already work.

We connect approved AI capabilities with the firm’s practice-management, document, email, research and knowledge systems. Lawyers and staff can retrieve information, summarise activity, prepare first drafts, classify documents and complete repetitive knowledge work without constantly moving information between applications.

03

Build control into the implementation.

Policies, permissions, testing, source attribution, human review and usage monitoring are designed into the implementation. The firm can define which information may be used, which actions require approval, how outputs must be checked and where AI should not be used at all.

04

Make adoption measurable.

A successful implementation is not measured by the number of licences purchased. We help firms monitor workflow usage, review requirements, turnaround, consistency and the areas where staff need further training or the system needs adjustment.

An AI matter workspace with policy and evidence built in.

Each engagement is configured around the firm’s systems, controls, reporting needs and operating requirements.

01 / The situation

A corporate team was spending hours rebuilding matter context from notes, email threads and document folders before every client update.

02 / What we implement

dashboardWISE designed an approved matter workspace that retrieves only permitted records, cites every source, drafts the update and routes it to the responsible lawyer for review.

03 / The operating result

The team receives a review-ready starting point with the evidence attached, while the firm retains control over data access, external search, retention and final approval.

A working system your firm can own and improve.

The policies, workflows, integrations and training your firm needs to operate the system with confidence.

  • AI readiness and workflow assessment
  • Approved-use-case roadmap
  • Internal AI use and review policies
  • Tool and vendor assessment support
  • Data-handling and permission design
  • Matter and knowledge assistants
  • Document and correspondence workflows
  • Practice-management and document-system integrations
  • Pilot implementation and controlled rollout
  • Staff training and practical playbooks
  • Testing, monitoring and adoption reporting
  • Ongoing governance and workflow improvement

Build an AI implementation your firm can actually use.

Move from scattered experimentation to approved workflows, practical policies, trained teams and measurable adoption.

Discuss AI enablement