NOOMA · AI Software for Law Firms & the Agencies That Serve Them

Operator. Enterprise practitioner. Builder.

Most AI engineers have one or two of these. Building production systems for agencies demands all three.

Adam Higdon

Founder & Chief Engineer

15+ years in enterprise software. Built and ran a digital agency. Leads the engineering and product strategy behind every NOOMA platform.

From the Dot-Com Boom to the AI Boom.

NOOMA started in a digital agency — SEO, SEM, web dev, full P&L through the dot-com cycle. We understand your business because we've been in your seat.

Fifteen years in Fortune 500 rooms.

15+ years implementing enterprise software at Fortune 500 scale. The systems we build don't break at scale because we've operated at scale.

500k+ lines of AI engineering code, in 2026 alone.

Intake platforms, visibility analytics, voice AI, multi-model orchestration — all in production, all for legal marketing. Velocity comes from operator instincts plus modern AI tooling.

Cloudflare Workers·D1·Claude·GPT-5·Twilio·OpenAI Realtime·Stripe·Netlify·CallRail·Fly.io·Resend·Perplexity·Grok·Cloudflare Workers·D1·Claude·GPT-5·Twilio·OpenAI Realtime·Stripe·Netlify·CallRail·Fly.io·Resend·Perplexity·Grok·

AI intake across 230+ law firms. Built for one agency partner.

Legal MarketingProductionActive ClientCustomer Data Platform

Identity resolution, lead intelligence, and 24/7 conversational intake deployed across a legal marketing agency's entire client portfolio.

The Problem

The agency manages intake for 230 personal-injury and consumer law firms. Calls come in across 13 CallRail accounts. Contact forms from 230 firm websites piped into a single inbox. Their operations team was manually triaging thousands of submissions a week. Real leads were slipping through.

What We Built

A unified data platform stitching calls and forms to canonical firm identities across multiple source systems. Real-time webhooks from 13 CallRail accounts feed an identity resolution graph that maps numeric IDs, website domains, vendor slugs, and sender emails to a single canonical identifier per firm. AI enriches every record with paralegal-voice summaries, lead classification, and urgency scoring.

A deterministic routing engine auto-approves submissions with zero manual triage. A multi-tenant denylist structurally prevents shared notification senders from misrouting leads across firms.

Intake IQ overview: portfolio-wide lead totals, intent distribution, and daily volume

Intake IQ call log: AI case summaries, intent scoring, and attorney decisions

Intake IQ analytics: lead quality, intent drivers, and conversion metrics

Intake IQ portfolio analytics: call volume, AI coverage, and lead distribution across firms

Intake IQ CRM: firm, domain, and access management

75,976

Calls analyzed

17,418

Contact forms processed

93,394

Leads

230

Firms served

14 days

Contract to production

95%

AI cost reduction

Cloudflare WorkersD1KVIdentity GraphWebhooksFly.ioGemini FlashCallRail APINetlify

A full attorney website. Shipped in a day.

Website ProductionWordPressLaw FirmReference Build

Design-locked WordPress a firm can actually edit, without the page-builder bloat that makes agency sites slow and fragile.

Higdon Law Group attorney website homepage showing hero headline, practice-area navigation, and free case review call to action

The Problem

Law firm websites are an agency’s core revenue and its core bottleneck. A typical build runs six to twelve weeks: discovery, comps, revision rounds, a purchased theme, then a plugin stack that grows until the site takes four seconds to paint. The firm ends up with a site they are nervous to touch, and the agency ends up owning a maintenance liability. Production hours cap volume, not demand.

What We Built

A complete Chicago personal-injury site: home, about, contact, a practice-areas hub, and seven individual practice-area pages. Design extracted from a live reference, locked into a hand-coded custom theme, and ported to WordPress in a single day.

No Elementor, no Divi, no purchased theme. One block plugin instead of a twenty-plugin stack. Case results, testimonials, attorney bios, and practice-area copy stay editable in the WordPress admin, but an editor cannot break the layout. FAQ and breadcrumb schema ship on every page.

1 day

Design lock to deployed site

Pages built

Practice-area pages

Page builders

Front-end plugin

~0.15s

Server response

WordPressCustom ThemePHPGenesis BlocksSchema.orgResponsive CSSWP Engine

See the live website we built →

AI Visibility: attribution you can prove, not estimate.

AI VisibilityProductionSaaS

Monitoring how law firms appear across ChatGPT, Claude, Gemini, Perplexity, Grok, and Google AI Overviews — built for agencies who need to prove a new kind of performance.

0:00

The Problem

Generative Engine Optimization is a real category most agencies can't speak to. Buyer-intent queries increasingly get answered inside ChatGPT, Perplexity, and Gemini — and when a reader does click through, GA4 files it under "Direct." Agencies are being asked to prove performance on a channel their tools can't see. There's no established playbook, and the existing tools each solve one piece and estimate the rest.

What We Built

A SaaS platform combining three previously-separate capabilities: AI visibility scanning across six platforms in parallel — querying the same models real buyers actually see — evidence-based AI traffic attribution, and a Bayesian marketing mix model treating AI as its own channel.

The attribution engine doesn't guess. A visit is credited to AI only when a stored receipt proves an AI retrieval agent fetched that exact page minutes before the human arrived — bot fetch paired to human visit, attributed per platform. No heuristics, no inflated numbers. If Faneros says ChatGPT sent the visitor, it can show you the receipt.

Nine deploy-ready deliverables generate per scan. Fixed model routing assigns the right frontier model to each one, and every output passes deterministic structural validation plus an automated QA gate before it can be downloaded.

8 weeks

Build time, idea to production

~40,000

Lines of production code

AI platforms scanned in parallel

Deliverables per scan, validated

100%

AI-attributed visits backed by a stored evidence receipt

~$1K/mo

Total infrastructure cost

Cloudflare WorkersDurable ObjectsKVR2Claude OpusGPTGeminiSerpAPIBayesian MMMNetlify

What an AI training engine actually ships.

Enterprise TrainingAI Content EngineLive Demo

A complete partner-training portal — content, custom interactive modules, narration, exam, certificate — built in days, not quarters.

The Problem

Enterprise partner-training programs follow a fixed recipe: a team of instructional designers, an LMS vendor, video producers, and a project manager spend two-to-six months building the courseware. The output is good. The cost is in the six figures. For a fast-moving consultancy onboarding partners onto a new platform, that timeline kills the deal — partners need to be productive on the engagement before the curriculum even ships.

What We Built

A complete partner-training portal generated end-to-end by one AI engineer. 11 lessons across 3 modules (data platform, journey orchestration, B2B). 17 interactive modules — some styled as "official vendor tutorials," some as custom strategy walkthroughs — each with slide navigation, narrated audio, and chapter markers. 47 hands-on sandbox tasks. 11 knowledge checks. A 20-question accreditation exam with auto-generated LinkedIn certificate. Everything orchestrated from a single hub with progress tracking, roadmap, and zero LMS dependency. The client and vendor in the demo are fictional. The engine that produces the curriculum is real.

AI AVATAR

Meet the portal

This entire portal was built by talking to AI.

No code editor. No team. No LMS. Retrieval-augmented generation turning natural language into production software — narrated lessons, interactive modules, an accreditation exam, the LinkedIn certificate. All of it.

Visit the live portal →

Lessons

Hands-on tasks

Interactive modules

Exam questions

~25 hrs

Build time, end to end

1 Person

No team, no LMS, no PM

HTML/CSSJavaScriptClaude OpusOpenAI TTSHeyGenCloudflare WorkersR2Netlify

3,600 accounts. 38 sellers. One Monday morning.

Sales IntelligenceEnterprise SaaSActive Deployment

Account intelligence and territory planning for a Fortune 500 field sales organization.

Strategic Partners CRM showing 3,627 accounts on a US density map with filters and an AI-powered Command Center panel

The Problem

A North American field sales team of 38 account executives, each managing roughly 80 accounts in their patch. Every Monday, every seller faces the same question: which five accounts to call this week, which to deprioritize, and what to actually say when they get on the phone. Salesforce can produce a list and a CSV. It can't answer those questions. Sellers were guessing.

What We Built

A single-operator platform that turns Monday-morning planning into minutes instead of hours. Three capability surfaces under one filter bar: territory hunting (drop a 15–50 mile radius around any city, see every account fully hydrated), one-click intelligence (executive briefings and internal sales plans generated in ~3 minutes from internal data plus live 10-K and 10-Q filings), and a manager-level coverage heat map for partner gaps and white-space planning.

3,600

Accounts under management

Field sellers using daily

~80

Accounts per AE

~3 min

Click to executive briefing

1 week

Core functionality stood up

$250M

Enterprise Sales Segment

Cloudflare WorkersKVAnthropic APIClaude Opus 4.6LeafletJavaScriptGitHub PagesWeb Search

The world's first AI mix modeler.

Marketing ScienceIn-BrowserFirst of its kindProduction

Hill saturation curves, Bayesian attribution, and efficient-frontier optimization — modeling AI as a marketing channel.

How the AI Mix Modeler Works

What if you knew exactly where every marketing dollar was wasted?

The Problem

Adobe, Nielsen, and every legacy marketing mix model was built for a world where Google was the front door. When a visitor arrives from ChatGPT or Perplexity, the referral header is stripped — so traditional tools dump that traffic into "Direct" or "Unknown." The fastest-growing channel in marketing is invisible in every budget model on the market. No CFO can evaluate AI visibility as a line item, because no model puts it in the same view as everything else.

What We Built

A self-serve Bayesian marketing mix model that runs entirely in the browser. Hill saturation curves fit per channel, MAP estimation across the time series, lagged cross-correlation matrix for halo effects, 200 iterations of marginal reallocation to find the efficient frontier. Upload three columns — channel, spend, conversions — and the model produces cost-per-lead rankings, response curves with 80% confidence bands, halo synergies between channels, and a specific reallocation plan in under ten seconds.

The differentiator: AI visibility sits in the model as a first-class channel alongside Google Ads, TV, SEO, and paid social — modeled with the same math. AI discovery stops being a vague strategic initiative and becomes a measurable budget line.

First & only

AI as a modeled channel

12–19%

Projected lift on same budget

~10 sec

Upload to model output

30+

Channels modeled (digital, offline, traditional)

No SaaS

Runs entirely in your browser

Bayesian

Attribution method

JavaScriptHill SaturationBayesian MAPEfficient FrontierCross-CorrelationChart.jsCloudflare WorkersR2Netlify

Try the AI Mix Modeler →

Why law firms and agencies partner with NOOMA.

Some engagements start with the law firm. Some start with the agency. The best ones bring in both — like ours did.

Already in production.

The platforms your agency needs — AI intake, AI Visibility, automated WordPress builds — are already live and serving 230+ law firms. You're not paying for R&D.

No AI team to hire.

One engineering partner replaces a team of developers, architects, and a project manager. No recruiting, no ramp-up, no management overhead.

Built for legal marketing workflows.

CallRail, intake forms, WordPress, client reporting — we've built inside these systems, not around them.

You own the client relationship.

NOOMA builds the technology. Your agency keeps the account, the billing, and the trust.

Production in weeks, not quarters.

Average time from kickoff to a live, deployed system: ~3 weeks.

Monitored after launch.

Multi-model QA runs against production 96×/day. Bugs are identified in 15 minutes and fixed in under an hour — before your clients ever see them.

Eleven live projects. Click through and try them.

These are the actual products — running right now. Open a new tab, poke around.

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Faneros

AI Visibility platform — scans how six AI systems see your law firm and generates actionable fixes. Evidence-receipted AI traffic attribution.

faneros.ai →

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Areopagus

Three frontier AI models debate your question through multiple rounds. Sequential juror chain, TTS, consensus scoring. On the App Store.

areopagus.ai →

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WordPress for Law Firms

Full attorney website — extracted from a live reference, design-locked, and ported to WordPress in a day. Editable case results, practice areas, testimonials, and SEO. Clean code, zero page-builder bloat.

higdonlawgroup.wpenginepowered.com →

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LunaPhone

Real-time voice AI receptionist. Healthcare and legal agents. Google Calendar booking, sub-500ms latency.

lunaphone.ai →

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Intake IQ

Call intelligence dashboard. 50 firms, 1,742 calls analyzed, AI-categorized lead types, conversion analytics.

intakeiq-ai.netlify.app →

Checking...Best on Desktop

Strategic Partners CRM

Partner sales intelligence. 3,600+ accounts, interactive US map, AI Command Center, RAG over enterprise PDFs.

strategicpartnerscrm.netlify.app →

Live

AI Mix Modeler

Bayesian MMM with Hill curves, adstock, halo detection, efficient frontier. Runs entirely in-browser.

mix.faneros.ai →

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AI Agent Builder

Build a custom AI chatbot through a no-code wizard. Knows your business via RAG, 50+ languages, deploy in minutes.

areopagus-ai-agent.netlify.app →

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Training Engine

AI-generated partner training portal. 11 lessons, 17 modules, narrated, with exam and certificate. Built solo in ~25 hours.

training-engine.netlify.app →

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Slack Agent

Conversational AI in your Slack channels. Natural-language Q&A over live operational data, voice readouts in every reply.

slack-agent-demo.netlify.app →

Live

Hermes

AI meeting participant. Joins your Google Meet, Zoom, or Teams call and contributes strategy and recommendations in real time — like a colleague, not a transcript.

Watch the demo →

One engineering partner. Eleven builds. All live.

No slide decks. Just working software.

Step 1

Discovery call

Twenty minutes. You describe the problem. We tell you on the call whether we can ship in two weeks.

20 minutes · no cost · no slides

Step 2

Two-week build sprint

No risk. Fixed scope. Working prototype in your team's hands by day ten.

No risk · 2 weeks · scoped on the discovery call

Step 3

Production deploy

Harden the prototype, deploy to production. Billing starts the day your team logs in.

1 week · bundled into retainer

Step 4

Monthly retainer

Hosting, AI costs, monitoring, improvements. Full source access. Thirty-day exit.

Month-to-month · the code is yours

If NOOMA can't build what you need in two weeks, you pay nothing.

Transparent terms.

Build Sprint

No-Risk Build Sprint

No risk · 2 weeks · scoped on the discovery call

Discovery & scope definition
Two-week build to working prototype
Production deployment & handoff
Infrastructure & domain setup
30-day post-launch monitoring

Recurring

Monthly Retainer

Month-to-month · 30-day exit · code is yours

Hosting & infrastructure
AI model costs (LLM inference, embeddings)
Uptime monitoring & incident response
Continuous improvements from your usage
Direct line for feature requests

Enterprise

Scoped Individually

Annual engagements · multi-system builds

Multi-system architecture
Custom SLA & uptime guarantees
On-prem or customer-cloud deployment
Dedicated capacity (not shared)
Quarterly business reviews

The things you're probably thinking.

I'm a law firm — can I work with NOOMA directly?

Yes. Plenty of our work starts with a direct conversation with the firm. Often it grows to include your existing web or SEO agency — that's not a conflict, it's the best outcome. Our largest legal platform began exactly that way: a firm reached out, brought us to their agency, and together we built AI Visibility, call intelligence, and WordPress systems now serving 230+ firms. We extend your agency; we don't replace it.

Do you work with agencies, or directly with law firms?

We work with both. When we work through an agency, your agency owns the client relationship, the billing, and the strategy. We're the engineering team behind the scenes — building, deploying, and maintaining the AI systems that make your agency more valuable to its clients. Think of us as your embedded AI engineering partner.

Why one AI engineering partner instead of a team of developers, architects, and a project manager?

Because most of that team exists to coordinate the team. A traditional shop needs a PM to translate, an architect to design, and developers who each see one slice of the problem. NOOMA does all four roles under one roof — no handoffs, no telephone game, no status meetings about status meetings. One partner owns the outcome.

What happens if something goes wrong?

You own everything. Every line of code lives in your repo, on your infrastructure, under your accounts. Every project ships with a handoff runbook a competent AI engineer can pick up in a day. The risk is lower with NOOMA than with a dev shop that could go under mid-project with your code on their servers.

Isn't this just vibecoding?

No. Vibecoding is prompting an AI until something kind of works and shipping it. We architect the system first, write tests, and review every AI-generated function the way a senior engineer reviews a junior's pull request — because that's exactly what it is. The AI is the junior dev. We're accountable for the code. Every change runs multi-model review before it ships, and production gets asserted 96 times a day after it does. Here's how that works.

Do you work with our stack?

Almost certainly. Preferred: Cloudflare Workers + D1 + frontier LLMs. Also shipped on AWS, Azure, and GCP, with integrations across Salesforce, HubSpot, Twilio, CallRail, Slack, Gmail, and most major APIs. If you're on something exotic, tell us on the call and we'll give you a straight answer about fit.

What about data & security?

Your data never trains a model. Data stays in your region, code lives in your repo, secrets live in your secret manager. Upstream providers are SOC 2 Type II compliant. On-prem available at Enterprise tier, BAAs for healthcare. Send us your security questionnaire — we've filled out plenty.

Can we talk to a current client?

Yes. After a discovery call and a real fit, we'll connect you with a client who's solved a similar problem — including the legal marketing agency in the case study above. References aren't handed out cold; it's not fair to our clients and it's a screening step both ways. Once we both know the fit is there, you'll talk to someone who's where you want to be.

The future of legal marketing is AI-powered. We build the software that gets you there.

Operator. Enterprise practitioner. Builder.

From the Dot-Com Boom to the AI Boom.

Fifteen years in Fortune 500 rooms.

500k+ lines of AI engineering code, in 2026 alone.

AI intake across 230+ law firms. Built for one agency partner.

Identity resolution, lead intelligence, and 24/7 conversational intake deployed across a legal marketing agency's entire client portfolio.

The Problem

What We Built

A full attorney website. Shipped in a day.

Design-locked WordPress a firm can actually edit, without the page-builder bloat that makes agency sites slow and fragile.

The Problem

What We Built

AI Visibility: attribution you can prove, not estimate.

Monitoring how law firms appear across ChatGPT, Claude, Gemini, Perplexity, Grok, and Google AI Overviews — built for agencies who need to prove a new kind of performance.

The Problem

What We Built

What an AI training engine actually ships.

A complete partner-training portal — content, custom interactive modules, narration, exam, certificate — built in days, not quarters.

The Problem

What We Built

This entire portal was built by talking to AI.

3,600 accounts. 38 sellers. One Monday morning.

Account intelligence and territory planning for a Fortune 500 field sales organization.

The Problem

What We Built

The world's first AI mix modeler.

Hill saturation curves, Bayesian attribution, and efficient-frontier optimization — modeling AI as a marketing channel.

The Problem

What We Built

Why law firms and agencies partner with NOOMA.

Already in production.

No AI team to hire.

Built for legal marketing workflows.

You own the client relationship.

Production in weeks, not quarters.

Monitored after launch.

Eleven live projects. Click through and try them.

Faneros

Areopagus

WordPress for Law Firms

LunaPhone

Intake IQ

Strategic Partners CRM

AI Mix Modeler

AI Agent Builder

Training Engine

Slack Agent

Hermes

No slide decks. Just working software.

Discovery call

Two-week build sprint

Production deploy

Monthly retainer

Transparent terms.

No-Risk Build Sprint

Monthly Retainer

Scoped Individually

The things you're probably thinking.

Your agency already knows how to sell. Let's build what's next.