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utdigitalsystem.com

Law Firm AI & Workflow Automation — United Technologies
AI & workflow automation for law firms

Less admin. More room for legal work.

Connect intake, documents, client communication and follow-ups into workflows that remove repeat work—while your team stays in control of the decisions that matter.

Intake & enquiries Documents Client communication Human review

No autonomous legal decisions. No black-box AI. A workflow built around your firm’s rules and people.

Contemporary professional office with natural light and a calm workspace
Workflow example
Illustrative only

From enquiry to handoff, without the retyping.

Rules for repeatable steps. AI for language-heavy work. People for legal judgment.

The bottlenecks

Work often slows down between the legal tasks.

A slow handoff, a missing document or a follow-up buried in an inbox can create work for the entire team. These are the patterns worth looking for first.

01 / RE-ENTRY

The same information gets entered twice.

Website forms, shared inboxes and referrals are handled in separate places, so staff copy details into another system and reconcile records manually.

02 / FOLLOW-UP

Important reminders depend on memory.

Document requests, routine client updates and next-step reminders compete with urgent legal work and can become inconsistent.

03 / HANDOFFS

No one can see what should happen next.

Tasks lack an owner, files arrive incomplete, or the next step lives in a person’s inbox instead of a shared workflow.

Automation won’t fix a process nobody has mapped. Start with where work slows down, then automate only what is repeatable and well understood.

Practical use cases

Automate the work that repeats—not the decisions that matter.

We connect predictable rules, structured information and AI-assisted language tasks where they improve an actual process. Start with the work your team already repeats.

Start with one workflowA contained, repeatable process is easier to test, maintain and trust.
Practical use cases01 / 06

Client enquiry intake

Bring website enquiries and approved inboxes into one record, acknowledge receipt, flag missing details and route the enquiry for staff review.

Document collection

Send approved checklists and reminders, track which items have arrived and surface incomplete submissions without silently assuming information.

Document organisation

Rename, sort, index or extract proposed fields from incoming files so staff can review the information without starting from an empty record.

Matter setup & task handoffs

Use approved triggers to create task checklists, assign owners, update connected systems and record where the workflow has reached.

Routine client communication

Prepare draft acknowledgements, meeting reminders and status updates from approved templates—with review and escalation rules for exceptions.

Administrative summaries & billing support

Prepare internal summaries, organise time-entry prompts or flag incomplete billing records. Staff verify the underlying facts before action.

See the workflow

From a new enquiry to a clear handoff.

Select a stage to see where automation can help, where AI may assist, and where a person stays in control. This is an illustrative workflow—not a live system.

Stage 01 / One reliable record

Capture the enquiry once.

Bring messages from approved entry points into a consistent intake record so staff are not retyping the same information across tools.

  • ✓Record the message, contact details and enquiry source.
  • ✓Send an approved acknowledgement and record when it was sent.
  • ✓Flag missing details for follow-up instead of guessing.

Use authorised channels and the firm’s established intake and conflict-check process.

Choose a starting point

A good first workflow is small, repetitive and measurable.

The first project does not need to use the most AI. It needs to solve a real bottleneck without creating a bigger one.

It happens often enough to matter.

A recurring intake, document or follow-up task—not a rare situation with many exceptions.

The trigger and owner are clear.

The team can explain what starts the process, who owns it and when a person must take over.

Improvement can be observed.

Measure things such as response time, manual handoffs, missing information, rework or reliable completion—not assumed savings.

How we choose. We start by mapping how work happens today: where information arrives, what the team repeats, which systems are involved and where exceptions need judgment. Then we choose one contained part to improve.

How we work

Map it. Bound it. Build it. Improve it.

A practical implementation should fit the way your firm works, account for exceptions and be straightforward to maintain.

Clarity first. Then execution. Scope, limits and review points are agreed before anything is built.

Examples across legal work

The use case should fit the matter—not the other way round.

These are starting points. The details depend on your matter types, systems, approval policies and jurisdiction.

Family law

Consultation intake, secure document checklists and reminders for missing information, with particular care around sensitive client communication.

Personal injury

Track requests and receipt of records, organise incoming files and prepare an initial document index for staff review.

Immigration

Organise questionnaire responses and send approved checklist reminders while leaving eligibility and legal conclusions to qualified staff.

Contracts & estate planning

Route contract requests, flag proposed renewal dates from verified documents, manage questionnaires and prepare first drafts from approved templates.

Human oversight

AI should support the workflow—not own the decision.

Legal workflows can involve confidential information and decisions with serious consequences. Review, access limits and accountability are part of the design—not a later add-on.

Restrict access and data sharing

Use approved accounts and systems, and limit permissions to what the workflow actually needs.

Require human verification

Check extracted facts and AI-assisted drafts before legal content is sent, filed or used for a material decision.

Log actions and exceptions

Make it possible to see what triggered a workflow, what it changed, where it failed and who must respond.

Define what stays human

Legal advice, strategy, conflicts, client acceptance, deadline validation and final approval stay with authorised people.

Keep legal judgment with your team.Before implementation, we define what information a workflow can access, which systems it may update, what gets logged and where a person must approve or take over. The right safeguards depend on the selected tools and your firm’s obligations.

This approach is consistent with the ABA’s Formal Opinion 512 guidance: existing professional duties continue to apply when lawyers use generative AI.

Frequently asked questions

Before you automate a legal workflow.

Start with a clear process, a useful outcome and an agreed boundary around confidential information and professional judgment.

Want to discuss your situation?Bring your workflow, tools and questions into the first conversation.
01Will AI give legal advice or make case decisions?

No. The workflows described here focus on administrative support, routing, organising information and preparing drafts for review. Legal advice, strategy, client acceptance, conflicts and other professional decisions remain with qualified people.

02Can this work with the software we already use?

Often, if the tools support an approved integration, API or another reliable connection. We assess the specific systems, permissions and limitations first. If a connection is not dependable or appropriate, we will not assume it can be automated safely.

03Is it safe to use AI with confidential client information?

That depends on the tool, configuration, contracts, data handling, access controls and your firm’s obligations. We define approved data flows and permissions before implementation; not every AI tool is appropriate for confidential information.

04Can automation calculate legal deadlines?

It can organise verified dates and create reminders, but deadline calculations must be based on the applicable rules and case facts, then confirmed by an authorised person. Critical deadlines should not rely on an unchecked AI output.

05Do we need to replace our current systems?

Not necessarily. The first option is usually to improve the handoffs between the tools you already use. Any integration depends on the specific product, subscription, permissions and supported connections.

06How do we know whether the workflow is working?

We agree on a small set of measures before building—for example, response time, manual handoffs, missing-information rates, rework or reliable completion—and review the results against the starting process.

07Do we have to automate the whole firm at once?

No. Start with one contained, repeatable workflow, test it on realistic cases and expand only when it is useful, maintainable and understood by the people who use it.

Your next step

Find the repeat work your team shouldn’t repeat.

Tell us where information gets stuck, which follow-ups keep returning or what your team re-enters every week. We’ll help map a practical first workflow—and define the boundaries that need to stay in place.

No AI-for-everything pitch. No assumed savings. A practical workflow scoped to your firm.

Workflow-first Human review Clear scope