We are building the category every law firm will buy — and it is already in production.

Every law firm needs one resolved view of its own business. None of them has it. LegalFab resolves the entire data estate — DMS, practice management, CRM, billing, email — into a single governed knowledge graph without moving the data, then runs agents across all of it under the firm's own rules. Kirkland is spending $500M over four years building its proprietary AI and intelligence foundation. LegalFab is built, certified, deployed and available today.

~$2.3MAngel capital raised

8Strategic engagements

SOC 2 · ISOCertified in production

$15MSeries A · now open

ShippingNot a roadmap — deployed and running in client environments

CertifiedSOC 2 Type II & ISO 27001:2022, audited in production

AvailableWeeks to deploy, on the estate a firm already owns

UnclaimedNo vendor owns this layer — we are naming and taking it

Why an incumbent can't just copy it

Intapp, Litera and the suite vendors unify by expanding the suite. Their commercial logic requires the suite to remain the centre of gravity: every new capability arrives as another application the firm buys from them, governance lives inside each one, and the estate they don't sell stays outside the model.

A neutral layer beneath that suite inverts it. It would resolve the systems they compete with, move governance out of the applications they monetise, and make the suite one connected source among many rather than the destination. Building it means cannibalising the position it protects — which is why incumbents extend sideways instead, and why the layer is still unclaimed.

The other route is building it in-house. Kirkland & Ellis is: $500M over four years, 180+ AI engineers and data scientists, 250+ lawyers, on-prem GPU clusters, a Palantir partnership. Almost no firm can follow.

Bloomberg Law · 15 June 2026

The layer is still unclaimed. That is the whole opportunity — and it is closing.

Harvey and Legora have attracted multi-billion-dollar valuations around application-layer legal AI. Yet the institutional intelligence layer those applications ultimately depend on remains unclaimed — and it is what Kirkland is paying $500M to build as its own proprietary AI and intelligence foundation.

Adoption is moving now: generative AI in professional services went from 22% to 40% in a single year, and while only 15% run agentic AI today, 53% are planning or considering it. Agents arrive whether or not the data beneath them is resolved. Whoever owns that layer when they land, owns the category.

22 → 40%GenAI adoption in professional services, in a single yearThomson Reuters, 2026

15% / 53%Running agentic AI today, versus planning or considering itThomson Reuters, 2026

$500MWhat the largest firm is spending on its own proprietary AI and intelligence foundationBloomberg Law, June 2026

What is real today

5 monthsTo secure 8 engagements —
no sales, no marketing

SOC 2 · ISO27001:2022 — certified
in production

$15MSeries A
now open

Where we are

1 Production Pilot — In delivery
1 Production — In delivery
1 Production Negotiations
2 Production Pilot Negotiations
1 Managed Service Negotiation with Big4
2 negotiations Global Partnerships Tier 1 Legal Consulting Firms

Global legal insurer · global law firm · leading UK firm · German full-service · IP boutique · global services partner · a Big Four firm · Tier 1 legal consulting. Not logos — coverage. The market imposes five requirements: firm size, product depth, practice type, geography and route to market. Each engagement occupies a different extreme, so no structural axis of the market is left unvalidated before scale.

The operating model

~$185m exit ARR in Year 5

Across only 54 institutional accounts — built bottom-up from priced deployments, not a top-down target. Accounts by size band and age, ACV from our own pricing calculator, headcount from required capacity.

The full five-year model is available on request.

Who is building it

Elinoar SoferChief Executive Officer

Serial entrepreneur; scaling enterprise startups in emerging markets.

Alexander ShereshevskyChief Technology Officer

Turns complex algorithmic frameworks into intelligence at enterprise scale.

Simon ThompsonChief Operating Officer

Legal-tech operations; former CIO/COO who knows the bottlenecks first-hand.

Thomas KohlmeierChief Commercial Officer

Legal professional turned venture builder across law, insurance and fintech.

“The most impressive thing I've been shown in this particular space.”

Neil Cameron · Lead analyst, Legal IT Insider · August 2026 · unpaid and unsponsored

$15M to own the layer the whole market runs on.

The platform is built, deployed and certified. The round is for scale, distribution and category ownership — productising the core, the utility catalogue, Tier-1 partnerships and three regional offices.

The round is open now and we are taking a limited number of partner conversations.

Request the deck & model legalfab.ai

Or write directly elinoar@legalfab.ai thomas@legalfab.ai