How do you handle attorney-client privilege?

On the Dedicated hardware path, systems run in your own environment and case data never leaves it. For Claude API usage, we use enterprise data handling — prompts are not used for training — and structure interactions to preserve privilege.

Is this compliant with bar rules?

We design around the ABA Model Rules — 1.1 competence, 1.6 confidentiality, 5.3 supervision of non-lawyer assistants. Every AI output is reviewable by the attorney of record, and we provide documentation for your state bar's requirements — but you and your ethics counsel make the call.

Can this write briefs or contracts autonomously?

It drafts them — you review, edit, and approve before anything leaves the firm. We design systems so attorneys remain the authors of record. No ghost-authoring by AI.

How does pricing work for a firm?

One offer: a Fractional AI Partner engagement from $15K per month, scoped to your firm, with privilege-aware architecture and bar-compliance review included. You begin with a paid AI Audit (around $1,500) — a fixed-scope read on where AI pays off in your practice — and the fee credits toward month one if you proceed.

What practice-management systems do you work with?

Clio, MyCase, PracticePanther, Filevine, iManage, NetDocuments, and custom stacks. Integration complexity varies by platform — we scope it per system during the AI Audit.

Can the research agent invent cases?

The research agents we build are retrieval-based — they cite only from your verified knowledge base plus public legal sources, with source links on every citation. Attorneys still verify, but this eliminates the category of AI hallucinating fictional case names.

Why a monthly partnership instead of a one-time project?

Firm bottlenecks recur with every matter, and practice areas, templates, and case law keep moving. A one-time build ages out. A Fractional AI Partner owns the AI function continuously — shipping new systems, maintaining the live ones, and keeping the compliance posture current.

What is a Fractional AI Partner?

A Fractional AI Partner is a senior AI team embedded part-time in your business on an ongoing basis — the way a fractional CFO runs finance or a fractional CTO runs engineering. Global Innovation Group sets your AI direction and ships working systems into production every month. It is a recurring partnership, not a one-off project: when a build lands, the partner stays on for the next one.

Who is the Fractional AI Partner for?

Established operating companies, roughly $3–5M+ in annual revenue, that want AI working inside the business rather than studied. It is not for individuals, hobbyists, or pre-revenue startups. Most clients have real workflows, real data, and a team — and want a standing AI function without hiring a full in-house team to build one.

What does the engagement cost, and what sets the price?

Engagements start at $15K per month. There are no fixed package tiers — each one is scoped and quoted in writing before you start. Three things set the price: the scope of work, the hardware path you choose (shared or dedicated), and your commitment length. A longer commitment — six or twelve months — can flex the monthly rate down.

How do I start? What is the AI Audit?

You start with a paid AI Audit — roughly $1,500, fixed scope. It is a diagnostic of your business: a ranked read on your highest-ROI automation targets, a stack and hardware recommendation, and an honest feasibility verdict on whether AI pays off for you and where. It is the low-risk way to begin before any monthly commitment. If you proceed to a partnership, the audit fee credits toward your first month.

Is there a minimum commitment?

Yes — three months. AI systems compound: the first month ships a quick win, and value builds from there as the systems mature and the team learns to run them. Three months is the floor for the partnership to produce a real return. Six- and twelve-month commitments are available and can lower the monthly rate.

Do we have to buy hardware?

No. Every engagement makes a hardware decision, but buying hardware is only one of two paths. Shared means your workloads run on infrastructure GIG owns and maintains — no purchase, fastest start, lowest cost, right for most clients. Dedicated means GIG specs and provisions hardware you own, on your premises or in your own cloud account — chosen for privacy-sensitive work or heavier scale. We recommend the path that fits; the choice is yours.

What happens to the AI tools and vendors we already use?

We work with what already earns its place. The Fractional AI Partner sets direction across your whole AI surface — that includes deciding what to keep, what to replace, and what to build. If a tool you already pay for is doing its job, it stays. We are vendor-agnostic and take no reseller kickbacks, so the call is made on fit, not commission.

Who actually runs the engagement?

Three people, by design. Francisco Williams leads strategy and oversight — roadmap, model and stack decisions, hardware direction — at roughly ten hours per client. Cindy Adlawan, Executive Director, leads delivery: intake, build, and training, every month. Kristle Alcuizar leads marketing and brand. The Cindy-led delivery structure is deliberate — it is what keeps the partnership senior and sustainable.

What is shipped each month?

Working systems in production — not decks, not roadmaps. Depending on your business that means custom agents, workflow automations, CRM and database enrichment, and integrations into the tools you already run. Every month of the engagement puts something live, and month one ships a quick win before the full diagnosis is even complete.

Who owns our data, and is it private?

You own your data, always. On the Shared hardware path, workloads run on GIG-managed infrastructure under clear data handling terms. On the Dedicated path, hardware is yours and your data never leaves your own environment — the right choice for healthcare, legal, finance, and other privacy-sensitive verticals. Either way, the systems and the data are yours.

Is GIG vendor-agnostic or tied to one AI provider?

Vendor-agnostic. We run Claude for production-grade agents, open-source models — Llama, Mistral, Qwen — for self-hosted workloads, and fine-tune on Hugging Face models when a task warrants it. We take no reseller kickbacks and recommend based on fit, not commercial relationships.

Where is Global Innovation Group based?

Global Innovation Group LLC is based in Southern California and works with established operating companies across the United States. The Fractional AI Partner engagement is delivered remotely, with on-site time as the engagement warrants.

Do you specialize in commercial real estate?

Yes — commercial real estate is GIG's anchor vertical. Francisco Williams is a CCIM-credentialed commercial real estate broker, Senior Vice President at KW Commercial Beverly Hills, and an NMLS-licensed mortgage loan originator (California DRE #01979442, NMLS #1858674). He runs AI inside his own brokerage, capital markets, and private lending businesses before deploying it for clients. That operator-grade CRE credibility is part of what you get when you hire a Fractional AI Partner here. GIG also serves five additional verticals: gyms and fitness, lending and finance, healthcare and clinics, legal and professional services, and e-commerce and retail.

What can a Fractional AI Partner ship for a brokerage, investment shop, or capital markets team?

Continuous enrichment and skip-trace running on every prospect list. Market reports and comps generated on demand. Deal-screening agents that read offering memoranda, rent rolls, and T-12s and surface red flags fast. TCPA- and DNC-compliant seller follow-up tuned to archetype — tired landlord, estate sale, out-of-state owner. CRM enrichment with lead scoring tuned to your historical close data. The partnership owns the AI roadmap month over month, not as a one-time project — because real estate bottlenecks do not hold still.

Fractional AI Partner — Legal & Professional

Legal work is
document work.
We run the AI behind it.

Contract review, legal research, intake, timekeeping — every firm fights the same bottlenecks, and they recur with every matter. A one-off build does not keep pace. As your Fractional AI Partner we embed in the firm and ship systems against those bottlenecks every month — contract redline, research agents grounded in your files, intake qualification, billing-narrative drafts — with privilege preserved and bar compliance front of mind.

Engagement

Monthly retainer

Delivery

Systems shipped monthly

Entry point

Paid AI Audit

Start a conversation See how it works

What we deliver

Specific deliverables.
No vague outcomes.

Every engagement ends with something you can point at. Code that runs, documents that inform decisions, teams that got better. No fluff, no deck-only deliverables.

Contract redline and risk flagging

Upload a contract, get an annotated redline against your firm's preferred positions quickly — with risk flags on unusual clauses, deviations from standard positions, and missing protections.

Research agents on your case files

Private research agents grounded in your firm's historical matters, briefs, and memos. Ask a question, get an answer with citations — from your own knowledge base, not just public sources.

Client intake automation

Intake agents that qualify matters, run conflict checks, collect documents, and route to the right attorney — less rainmaker time spent on unqualified leads.

Timekeeping and billing narratives

Billing narratives drafted from your calendar, emails, and document activity, for attorney review and approval — no more Sunday-night time-entry marathons.

Document automation

Standard documents — NDAs, engagement letters, basic pleadings — generated from intake data, on your templates, under your quality control.

Methodology

How we work.
Predictable. Scoped. Priced.

One offer: a Fractional AI Partner engagement, from $15K/mo, scoped to your firm. Privilege-aware architecture and bar-compliance review are included. Start with a paid AI Audit (~$1,500) — a fixed-scope read on where AI pays off across your practice — and the fee credits toward month one if you proceed.

Phase 01

Diagnose

First weeks

We map your practice areas, document management, intake flow, and timekeeping process — and ship one working automation before the diagnosis closes.

Phase 02

Design

First quarter

We set the roadmap with privilege preservation and a bar-compliance review, plus the stack and integration plan — reviewed with your managing partner or GC before build.

Phase 03

Deploy

Every month

We build integrations, train agents on your files securely, and wire workflows — shadow-mode on historical matters before live use — adding something each month.

Phase 04

Develop

Ongoing

We train attorneys and staff and document quality-review procedures. And then we stay — the partnership continues into the next systems and decisions.

Who it's for

You might be one of these.

Persona 01

Solo and small-firm practitioners

Pain

Doing everything yourself; admin and research eating billable hours.

Outcome

A standing AI function that handles first-pass research and drafting, so you bill the high-value work.

Persona 02

Mid-sized firms

Pain

Partners doing work associates should do; associates buried in document review.

Outcome

First-pass review and research owned by an ongoing AI function — associates on analysis, partners on strategy.

Persona 03

In-house legal teams

Pain

Contract volume outpacing the team; business units wanting faster turnaround.

Outcome

Contract review and intake run as a continuous AI function, so the team absorbs more volume without adding counsel.

What you leave with

Measurable outcomes.

We don't sell effort. We sell results. Every engagement is scoped against specific outcomes — and we measure them before and after.

01A Fractional AI Partner embedded in the firm, not a one-off vendor
02Contract review accelerated with risk-flagged redlines
03Research grounded in the firm's own knowledge base, not just public sources
04Intake qualified and routed without manual rainmaker time
05Privilege-preserving architecture with audit trails
06Bar-compliance documentation maintained as the practice evolves

Questions, answered

What you're probably wondering.

On the Dedicated hardware path, systems run in your own environment and case data never leaves it. For Claude API usage, we use enterprise data handling — prompts are not used for training — and structure interactions to preserve privilege.

Start with Legal & Professional

Ready to talk?
We're listening.

Tell us what you're trying to solve. We reply in 24 hours with a read on feasibility and scope. No decks, no slow proposals.

hello@globalingroup.com Back to home

Legal work isdocument work.We run the AI behind it.

Specific deliverables.No vague outcomes.

Contract redline and risk flagging

Research agents on your case files

Client intake automation

Timekeeping and billing narratives

Document automation

How we work.Predictable. Scoped. Priced.

Diagnose

Design

Deploy

Develop

You might be one of these.

Solo and small-firm practitioners

Mid-sized firms

In-house legal teams

Measurable outcomes.

What you're probably wondering.

Ready to talk?We're listening.

Legal work is
document work.
We run the AI behind it.

Specific deliverables.
No vague outcomes.

How we work.
Predictable. Scoped. Priced.

Ready to talk?
We're listening.