The partner needs a research memo by Friday. An associate could spend nine billable hours on it, or paste the fact pattern into a public chatbot and have a draft in twenty minutes. One of those options is a malpractice problem waiting to happen. The other is a write-down. Somewhere between them sits the real question every managing partner in Western PA is now asking: what do responsible AI workflows for law firms actually look like, and who in Pittsburgh can stand them up without breaking client confidentiality, the RPCs, or the budget?
That is the practice we have built at PGH Networks. Not a demo. Not a license resale. A working set of AI workflows for law firms that respects privilege, runs on infrastructure your firm controls, and is supported by the same local team that already handles your servers, Microsoft 365 tenant, and after-hours tickets.
The risk in legal AI is rarely the model — it is the data path the model is allowed to touch.
The partner asked for a memo by Friday. Should AI touch it?
The honest answer is "yes, but only inside a perimeter you defined on purpose." Most of the legal AI horror stories making the rounds — fabricated citations in federal filings, client data showing up in a vendor's training set, associates quietly using personal ChatGPT accounts on matter facts — trace back to the same root cause. The firm never decided, in writing, which tools were approved, which data classes could leave the tenant, and who reviewed the output before it reached a client or a court. We start there. Governance first, then tooling.
Who this is for
We work with firms across Pittsburgh, the South Hills, Cranberry, Robinson, Greensburg, Washington, and out to Morgantown and Youngstown — generally between five and a hundred and fifty attorneys. The pattern is consistent regardless of practice area:
- Litigation and insurance defense shops drowning in document review and deposition prep
- Estates, trusts, and family law practices where intake and drafting eat junior time
- Corporate, real estate, and energy (oil & gas, Marcellus work) firms with heavy contract review volume
- Boutique IP and employment firms that need research leverage without hiring another associate
If you are a solo or two-attorney firm, we have a lighter package. If you are a regional firm with a dedicated IT director, we work alongside them rather than replacing them.
What an AI workflow practice actually includes
A workflow is not a chatbot. It is a defined task, a defined input, a defined output, and a defined reviewer. The workflows we deploy most often for legal clients:
- Matter intake and conflicts triage — structured extraction from inbound emails and PDFs into your practice management system
- Document review and discovery summarization — privilege-aware review running inside your Microsoft 365 or private Azure tenant, never on a public model
- Drafting assistance — first-pass demand letters, motions, engagement letters, and client updates against your own precedent library, not a generic web corpus
- Deposition and transcript analysis — issue-coded summaries with pinpoint cites
- Billing narrative cleanup — turning cryptic time entries into LEDES-compliant, client-readable descriptions without inflating
- Internal knowledge search — a private "ask the firm" index over your DMS, so a third-year does not re-research what a partner answered in 2021
TL;DR: We build narrow, reviewable AI workflows on infrastructure your firm already controls — not a black-box vendor sitting between you and your clients' data.
Each workflow ships with an acceptable-use policy you can adopt, a model card explaining what it does and does not do, and audit logging so you can answer the bar association's next question before it is asked.
Why a Pittsburgh MSP — and why PGH Networks
National legal-AI vendors will sell you a seat. They will not sit in your conference room on Grant Street and walk your litigation team through why a hallucinated cite happened, or rebuild your Outlook rules when the integration breaks at 4:50 p.m. on a Friday. We will. Within seventy-five miles of 15220, we are typically on-site within the same business day.
The other thing the national tools tend to skip: compliance context. Pennsylvania Rules of Professional Conduct 1.1 and 1.6 (competence and confidentiality) now have to be read alongside the ABA's Formal Opinion 512 on generative AI. If your firm handles healthcare matters, HIPAA business-associate obligations follow the data into the AI tool. If you do federal contracting or defense work out of the Strip or Lawrenceville tech corridor, CMMC Level 2 controls apply to the same endpoints your associates are pasting prompts into. We design AI workflows for law firms with those overlays already accounted for, not bolted on after an incident.
A workflow you cannot explain to opposing counsel, your malpractice carrier, and your client is not a workflow — it is exposure.
We are also, plainly, your MSP. The identity, endpoint, backup, and email security work that makes any of this safe is work we are already doing. AI is the layer on top, not a separate vendor relationship to manage.
Let's map your first workflow
Pick the task that is costing your firm the most hours this month, and let's spend forty-five minutes scoping what a safe, reviewable version of it looks like — reach out here and we'll get something on the calendar this week.