TechStack Consulting / Legal & Professional Services

AI training for law firms and professional services

Surface unbilled work and practice-level reporting that a partner can review before taking action.

Daniel Michael Newland helps you choose useful tasks, train the people doing them, and build workflows with clear review steps.

Training covers Claude, ChatGPT, and Claude Code, taught on your team's actual work. For law firms and professional services, that means learning to surface unbilled work, draft client status updates, and prepare partner reporting packs, always reviewed by a qualified professional, with a person checking every result before it is used.

Set your team structure and engagement goal

Your starting point

Start with one useful task

Choose a team structure above to tailor the delivery approach.

Explore the examples below, then select whether you need training, workflow improvement, rollout planning, or discovery.

Potential pilot workflows

Work your team can recognize

Unbilled-work reports

Flag recorded work that needs billing approval.

Matter budget tracking

Compare approved matter budgets with recorded time.

Client receivables summaries

Group client balances by due date and owner when terms are supplied.

Workload planning

Review recorded time alongside staffing and matter complexity.

Intake conversion

Track intake completion and engagement acceptance.

Partner reporting packs

Prepare a source-linked practice report for partner review.

Agree on confidentiality rules and verification steps. A qualified professional reviews advice and substantive work.

Illustrative application / Proposed workflow

Identify unbilled work for partner review

Synthetic example input

Synthetic source export
PracticeRecorded hoursBilled hoursRate USD
Commercial8060250
Property6050200
Advisory4035300
Download sample CSV

Sample output for review

35 recorded hours have not been billed. At the supplied rates, their gross value is $8,500. This is a review queue, not a claim that all work is billable or collectible. Next action: Route the work to the responsible partner to check engagement terms, write-downs, and timing before approving invoices.

Before: The manager downloads separate reports, checks totals manually, and rewrites a performance brief before deciding what needs attention.

1. Gather approved information

Approved CSV or spreadsheet exports with the columns shown in the sample, consistent periods, and source record references.

2. Prepare the work with AI

Validate column types and totals, calculate the displayed measures, group exceptions, and draft a report with a source reference for each finding.

3. Have the right person review it

The manager checks source totals, missing records, and context before approving the report. Route the work to the responsible partner to check engagement terms, write-downs, and timing before approving invoices.

4. Put the reviewed output to work

35 recorded hours have not been billed. At the supplied rates, their gross value is $8,500. This is a review queue, not a claim that all work is billable or collectible. Route the work to the responsible partner to check engagement terms, write-downs, and timing before approving invoices.

Start with a synthetic example, test with the task owner, train the users, and compare the pilot with the current process before expanding.

Take the Claude Readiness Check →

A practical business AI workflow

Narrated walkthrough · Synthetic example information

Read video transcript

Here is a practical reporting workflow. This synthetic business has regional sales exports for three months. Total sales are fifty thousand dollars in August, fifty-eight thousand in September, and sixty-six thousand in October. Daniel can help turn those exports into a repeatable management report. The workflow validates the columns, checks totals, and identifies missing or duplicate records. It calculates that October sales are thirty-two percent above August. AI can then draft the explanation, with references to the source figures for the manager to verify. For November planning, the three-month average is fifty-eight thousand dollars. Carrying October forward gives sixty-six thousand. These are different assumptions. The manager checks pipeline, seasonality, and capacity before choosing a forecast. Neither scenario is a promise of future revenue. Start with one recurring report and one owner. Daniel can build the template, document the calculations, and train staff to repeat the workflow. Compare report preparation time and corrections with the old process. That shows whether the pilot creates useful capacity for the business.

A practical engagement

Agree on the task. Test it. Teach it.

Questions before you start

AI training and implementation, explained

How can AI help a legal & professional services business?

Organize intake, prepare working drafts, and support professional review. Start with one recurring task, approved inputs, and a named reviewer. Compare the pilot with your current process before expanding.

What does an engagement with Daniel include?

Depending on your goal, the engagement can include task discovery, practical team training, reusable templates, a workflow pilot, and an outcome readout. Scope and timing are agreed in the first conversation.

What should our legal team practice first with Claude?

Summarize unbilled work and draft a client status update in Claude, using approved matter records. A qualified professional reviews advice and substantive work before it is used.

How do we measure whether Claude training helped our legal team?

Compare unbilled work surfaced, reporting preparation time, and partner review corrections before and after training. Agree on the measures before the pilot.

How do we handle sensitive information?

Agree on confidentiality rules and verification steps. A qualified professional reviews advice and substantive work. Practice starts with synthetic examples and your approved tools.

Bring one workflow to the conversation.

Tell me where the handoffs, repetitive work, or training gaps are. We can scope a first step around your team.

Book my free Claude review

From a recent enterprise rollout: 400+ users trained, participant confidence up from 3.0 to 4.8 (participant-reported, 5-point scale).

Meet Daniel →

Free · 30 minutes

Free 30-Minute Claude Rollout Review

In 30 minutes, we’ll help you identify:

  • Highest-value business use cases
  • Governance and compliance requirements
  • Change-management considerations
  • Adoption risks
  • A practical rollout strategy

30 minutes · No pitch · Written recommendations