What PLI builds

Private AI, installed where your client files already live.

PLI doesn’t sell a product or seats. It builds — inside your walls, on hardware you own — the layer that turns a frontier model into your firm’s own governed capability, and teaches your people to run it. Your data never leaves the building, and the system keeps working even if PLI disappears tomorrow.

The service catalog

Nine offerings, one flagship.


The flagship is the manner of using a frontier model. The rest is the ecosystem that makes it private, reliable, honest, and owned by your firm.

Flagship engagement
Service 01

Frontier-LLM legal systems

PLI builds the proprietary layer around a frontier model such as Claude: custom skills for your recurring work, registered workflows with typed contracts, agent orchestration for larger jobs, retrieval over your own filings, evaluation, and fail-closed guardrails. The proprietary value is the manner of use — not a walled model. It is portable across model vendors, inspectable, and yours to keep.

This is the exact architecture the founder runs on live cases every day — decompose recurring tasks into narrow, checkable steps; ground drafts in your approved language; check the work with a separate gate; deliver a package a lawyer can verify.

What you get
  • Firm-specific skills & registered workflows
  • A router that turns plain requests into governed actions
  • Retrieval wired into drafting
  • Run traces and audit logs
  • Documentation your staff can extend

Read the method

Service 02

Private, on-premises deployment

A complete system inside your walls: server hardware sized to your caseload, open-weights models selected for legal work, and the serving stack that makes them fast and reliable. No client document is ever sent to an outside service.

What you get
  • Hardware specification & install
  • Tuned serving stack, air-gap option
  • Operator runbook
Service 03

Prompt & agent engineering

Reusable skills with discriminating triggers, a natural-language router that emits typed intents, and multi-agent dispatch with bounded scope — explicit do/don’t, disjoint file boundaries, and no-commit lanes. Engineered like software: versioned, tested, promoted on evidence.

What you get
  • A skill/prompt library tuned to your practice
  • A routing layer + dispatch templates
Service 04

Workflow automation & document pipelines

Drafts are clean Markdown; final documents are built deterministically from a metadata-only manifest, with fidelity gates. The model drafts; deterministic code owns formatting, templates, and file construction — repeatable output suitable for filing.

What you get
  • Document builders for your recurring types
  • Structural validation on every build
Service 05

Retrieval over your own work product

A governed retrieval layer over your firm’s filings, letters, and memos, so drafts are grounded in your own approved language. Style sources supply voice and structure only — never facts; missing facts are marked as gaps, not invented.

What you get
  • An indexed, searchable corpus of your work product
  • Retrieval wired into drafting with gap-marking
Service 06

Model evaluation & selection

Provenance-grade evaluation to decide which model fills which role: verified served-model identity, effective sampling capture, seeds and varied-seed repeats, confidence intervals, and a strict separation of infrastructure failures from model-quality failures.

What you get
  • A defensible model/role map
  • An eval harness to re-run as models change
Service 07

Attorney enablement & training

A workshop track that teaches the method — skill authoring, workflow design, agent orchestration, retrieval, evaluation, and guardrails — with generic exercises and decision checklists, taught by a practicing litigator who built and runs it. No client specifics.

What you get
  • Trained lawyers/staff who can extend the system
  • A playbook and decision checklists
Service 08

Ongoing retainer & managed tuning

Periodic model refreshes, new workflows as needs emerge, eval re-runs, and QA — on a retainer, or a clean hand-off, your choice. No lock-in by design; an engagement should leave your firm more independent, not less.

What you get
  • A maintained, current system
  • Model refreshes & new workflows on cadence
Service 09

PLI Labs — an open, no-cost on-ramp

Open-weights, expert-pruned legal model checkpoints and open-source tools, published with serious model cards and reproducible benchmarks. A firm can inspect and run PLI’s work before hiring anyone.

What you get
  • Free models and tools to evaluate
  • Published methodology and benchmarks

Visit PLI Labs

Why PLI

Advice from the operating chair, not the sales deck.


Most legal-AI vendors have never signed a pleading. PLI’s founder is a litigator with more than eleven years in South Carolina’s family courts, and the systems we sell are the systems he built for his own practice and runs every working day — drafting under real deadlines, reviewing real discovery, answering to real judges.

That changes the advice you get. We know which tasks a local model handles well and which it will quietly get wrong. We know what confidentiality actually requires, because we carry the same duty. And we will tell you when the honest answer is that a smaller setup — or none at all — serves your firm better, because we are not selling seats.

Everyone else sells you a tool, a strategy deck, or a box. PLI teaches your firm the method a litigator actually uses to run AI on real cases — inside your own walls, on hardware you own, verifiable in the open.

How an engagement runs

From first call to a running system.


  1. Assess

    We study your practice areas, matter volume, document types, and existing systems, and identify where private AI would actually pay for itself — in lawyer hours, turnaround, or consistency.

  2. Design

    You get a concrete plan: hardware specification, model choices, the workflows to automate first, security boundaries, and a realistic budget. The plan is yours whether or not we build it.

  3. Build & install

    We assemble, configure, and test the system on site, wire it to your document stores, and prove each workflow on your own past matters before anything touches live work.

  4. Operate & hand off

    We train your staff, document everything, and either hand the keys over entirely or stay on for periodic tuning and model refreshes — your choice. No dependency by design.

Who this fits

Built for firms that hold sensitive files.


PLI works with solo and small-firm litigators, mid-size firms, and legal departments — any organization whose documents are too sensitive for someone else’s cloud and whose volume makes drafting and review a real cost. Family law, where the founder practices, is a natural fit; the same machinery serves civil litigation, defense work, and document-heavy transactional practices.

PLI is a technology consultancy, not a law firm; it does not provide legal services or legal advice. Engaging PLI creates no attorney-client relationship. Any figures describing practice impact are illustrative of the founder’s own practice and are not a promise of results for your firm.

Questions

What firms ask first.


What is the flagship PLI service?

Building frontier-LLM legal systems: the proprietary layer around a model like Claude — custom skills, registered workflows, agent orchestration, retrieval over your own work product, evaluation, and fail-closed guardrails. The proprietary value is the manner of using the model, not a walled model itself, and the resulting system is owned by your firm and portable across model vendors.

Does PLI lock us in?

No. The hardware is yours, the models are open weights, and the documentation is yours. We train your people to run and extend the system, and an engagement can end with a clean hand-off. The design goal is that you end up more independent, not less.

How does an engagement start, and how much does it cost?

A typical starting point is a scoped assessment: where AI genuinely helps your practice, what hardware and models that requires, what it costs to own rather than rent — and where it doesn’t help and you shouldn’t spend the money. Cost depends on scope; the assessment gives you honest numbers before any build. Availability is deliberately constrained because the founder still practices full-time.

Can you work with our existing cloud tools?

The method — skills, workflows, retrieval, evaluation, guardrails — applies whether a model runs on your premises or through a frontier API your firm already trusts. PLI’s emphasis is on-premises for confidentiality-sensitive work, but the engineering layer is the value either way, and we will tell you honestly which parts of your work belong where.

Tell us what you want off your desk.

Two paragraphs about your practice is enough for an honest first read on whether — and where — private AI fits.