Your Fractional Head of AI

You have the stack. We build the layer on top.

For in-house teams who want AI working inside their stack. Not in a browser tab next to it.

The gap

You've bought the stack. We deploy what it doesn't cover.

Your stack already covers

  • CLM contract lifecycle & repository
  • Spellbook / DraftWise redlines inbound contracts
  • Brightflag outside counsel spend
  • Harvey / Legora / GC AI research questions
  • OneTrust / DataGrail privacy workflow

What still sucks your team's time

  • Intake. Contracts, privacy, subpoenas.
  • Daily regulatory awareness.
  • Board meeting prep.
  • AI tooling and vendor review.
  • Awareness of new features. AI risk in what gets shipped.

AbundanceAI is the fractional executive who helps you fill that gap. We deploy custom Skills and AI agents for the workflows your existing stack doesn't handle, coach your team on Claude, and act as your trusted advisor on every AI decision in front of you (including what to buy and what to avoid).

Getting the technology right is only one part of navigating the transition to an AI-enabled team. We help your team realize the full potential of AI.

Example use cases

What the work looks like in practice.

Contract intake in Slack

Sales posts in #legal-help. Our agent classifies the request, threads an intake form, routes to the right person, and creates a ticket.

Daily regulatory tracker

A 5-item digest in Slack every weekday morning, tailored to your products and footprint. Replaces 30 minutes of every GC's morning at 1/10th the cost of Bloomberg Law.

Weekly legal ops digest

Live cross-system dashboard the GC can open on Monday morning. Pulls from CLM, matter tracker, spend system, and intake queues. Built for the weekly exec team meeting.

Vendor risk intake & one-pager

A new vendor lands in procurement. Our agent pulls the DPA, the SOC 2, the sub-processor list. Produces a one-page risk memo cross-referenced against your data classification policy. Privacy counsel stops manually reading SOC 2s.

See all skills & agents
Who it's for

In-house teams that have invested in a real stack.

In-house teams at late-stage private, venture-backed, PE-owned, and innovative public companies. We usually work with teams of 5 to 50+, most of whom have already invested in a tech stack. We help you make that stack work together with AI. Many of our clients are legal and compliance teams.

Our point of view

The models are ready. Getting your team to truly run on them is the hard part.

Every month the models get better and a new tool launches. That was never the bottleneck. The hard part is human: getting busy people excited to change how they work, integrating AI into the workflows they already have, and building the judgment to know when to trust it.

That's most of what we do. We coach your team to use tools like ChatGPT, Claude, Harvey, and Legora at a level they won't reach on their own, and we give you an honest read on what to buy and what to skip. We also bring a catalog of ready-to-run Claude Skills and a menu of tested custom agents, each one tuned to your playbook and deployed inside your stack, so AI shows up as a teammate instead of one more browser tab.

As your team comes to run on more and more AI, the next question becomes trust: whether what all those agents are doing actually lines up with your policies and your risk tolerance. That's the layer we're building toward. But it grows out of the hands-on work, and the hands-on work is where we start.

Read our point of view →

Co-Founder & Fractional Head of AI

Tyler Finn.

10+ years working for and with General Counsels and CLOs in the tech sector. Led privacy, compliance, and policy at Factual and Foursquare, then founded a boutique privacy consultancy. Helped build the L-Suite and led community for SpotDraft. 100+ conversations with General Counsels and senior operators informed the AbundanceAI consulting model.

More about AbundanceAI

Let's talk about really enabling your team with AI.

One conversation. No deck. We'll tell you whether there's a fit.

Talk to us