AI Readiness Assessment for Law Firms

Your partners are asking whether the firm should be using ChatGPT, Copilot, or one of the legal-specific tools every vendor is pitching this quarter. Your associates are already using them, with or without permission. Somewhere between those two facts is a confidentiality problem, a billing problem, and a competitive problem. A structured AI readiness assessment for law firms is how you get in front of all three before an incident or a client audit forces the conversation.

PGH Networks runs this assessment for firms across the Pittsburgh metro — from downtown litigation shops to Cranberry, Wexford, Greensburg, and Washington practices handling healthcare, energy, manufacturing, and defense clients. The goal is not to sell you a platform. It is to tell you, in writing, which workflows are safe to automate now, which need controls first, and which should stay off-limits until the tooling catches up to the ethics rules.

Who this assessment is for

This engagement is built for managing partners, firm administrators, and COOs at solo-to-200-attorney firms who need a defensible answer to three questions: what are our people already doing with AI, what should we be doing, and what is the exposure if we do nothing. It is also for IT directors who have been handed a Copilot license pilot and told to "figure out governance" without a framework.

If your firm handles PHI under HIPAA, CJIS-covered matters, CUI on behalf of DoD-adjacent clients, or SEC-regulated corporate work, the assessment weighs those obligations directly. We map AI use against the same compliance frameworks your clients already expect you to honor — HIPAA, NIST 800-171, SOC 2 — and against ABA Formal Opinion 512 (2024) on generative AI and the Pennsylvania Rules of Professional Conduct.

What our AI readiness assessment for law firms includes

The engagement runs four to six weeks and produces a written report plus a prioritized roadmap. We start with a data inventory: where matter files live, how the DMS is structured, what leaves the network through email and cloud storage, and which systems a large language model would need to touch to be useful. From there we run a tooling fit review across Microsoft 365 Copilot, Azure OpenAI, legal-specific research and drafting platforms, and — where the economics justify it — a custom AI application built against your own document corpus.

An AI readiness assessment for law firms is worth nothing if it stops at policy; it has to reach into the DMS, the identity layer, and the billing narrative before it becomes real.

We then pressure-test the security baseline: conditional access, DLP rules, sensitivity labels, Microsoft Purview configuration, and audit logging. Copilot inherits every permission mistake in your SharePoint tenant, so a big part of Copilot readiness is fixing oversharing before you turn the switch on. Finally we deliver a 90-day roadmap with named owners, license math, and a training plan for attorneys and staff.

How we handle confidentiality, privilege, and the ethics rules

TL;DR: The hard part of legal AI is not the model — it is proving that client confidences under RPC 1.6 never leave a boundary you can defend to a GC or a disciplinary board.

Every recommendation in the report ties back to a specific rule or client obligation. RPC 1.1 competence: which tools require attorney verification and how that verification gets documented. RPC 1.6 confidentiality: which vendors have signed a DPA with no-training clauses, where prompts and outputs are logged, and how matter data is segregated by client. RPC 5.3 supervision: how non-lawyer staff and vendors handling AI outputs are trained and reviewed. RPC 1.5 fees: how to bill matters where AI cut research time in half without triggering client pushback.

We also draft the artifacts your firm will actually need to hand to a client during a security questionnaire: an acceptable-use policy, a client-notice template, a vendor register, and an incident playbook specific to AI misuse. That policy work is part of our broader AI advisory practice, and the underlying automations sit inside our AI workflow automation engagements once you are past the assessment phase.

Why Pittsburgh firms work with PGH Networks

We are based in the Pittsburgh metro and run managed IT and cybersecurity for regulated small and mid-market clients across Allegheny, Butler, Washington, Westmoreland, and Beaver counties. That matters here for two reasons. First, when the assessment surfaces a Microsoft Purview gap or an EDR gap, we have engineers who can close it — you are not handed a report and left to shop for three more vendors. Second, we already work with firms whose clients demand CMMC Level 2 or HIPAA attestations, so the confidentiality bar the assessment measures against is the one your clients are actually going to audit you to.

Our AI-workflows practice sits inside the same team as our vCIO and IT strategy work, which means the AI readiness assessment for law firms plugs directly into a multi-year technology roadmap rather than living as a standalone PDF that ages out in six months.

Next step

If you want to know exactly where your firm stands before your next partner meeting, we can scope the assessment in a 30-minute call.

Call 724.888.7007 or reach us through the contact form and ask for the legal AI readiness assessment.