AI comparison for real estate teams

Findable is not trying to be another Copilot.

Copilot, Claude, ChatGPT and Glean make knowledge workers faster. Harvey and Legora prove vertical AI wins in high-trust document work. Findable applies that playbook to buildings: O&M manuals, certificates, fire reports, leases and portfolio documentation.

Live building query

Portfolio: property assets

Sourced

Question

Which buildings have missing fire door inspection evidence?

Findable answer

7 buildings need attention. 3 have expired certificates, 2 have inspection reports older than 12 months and 2 are missing asset-level evidence. Sources: Fire report 2024, O&M folder, Compliance register.

150+

property organisations

days

not months

no

data migration

The category choice

Horizontal AI answers anything. Findable answers the thing property teams are actually on the hook for.

Horizontal AI is useful

Copilot, Claude and ChatGPT help individuals move faster.

They are excellent for drafting, summarising and reasoning. The gap appears when the question depends on building-specific metadata, document expiry, portfolio structure or operational accountability.

Vertical AI is the pattern

Harvey and Legora show why domain context matters.

Legal AI works because it understands the work, not just the words. Building documentation has the same shape: specialised files, high-trust answers and expensive misses.

Findable owns the job

The goal is not another chatbot. It is operational confidence.

Findable turns messy building documentation into a searchable, checkable intelligence layer for the people responsible when an audit, transaction or incident happens.

Market map

Keep the landscape simple.

The comparison is not about listing every AI tool. It is about the shift from broad assistants to domain systems that know the work.

Horizontal assistants

Copilot, Claude, ChatGPT Enterprise

Great for broad productivity, drafting and analysis.

Enterprise knowledge

Glean, Hebbia

Useful when teams need search or research across many sources.

Vertical AI

Harvey, Legora, V7 Go

Proof that domain-specific workflows beat blank chat for high-trust work.

Building intelligence

Findable

Purpose-built for building documents, sources, gaps and portfolio context.

Side-by-side

The jobs that matter for building teams

This is the practical buying lens: not which model is cleverest, but which system closes the operational risk.

Criterion Findable Copilot Claude Harvey Glean ChatGPT Enterprise
Built for building documentation Native No No No No Requires custom setup
Works on top of existing SharePoint Yes Yes Connector dependent Customer setup Yes Connector dependent
Finds missing or expired building docs Native No Manual No No Manual/custom
Answers questions from O&M, fire and certificate files Native Broad doc Q&A Strong if uploaded Legal focus Broad search Strong if connected
Portfolio and asset context Native Generic Generic Matter context Company context Custom
Best buyer Property teams IT / productivity Knowledge work Legal IT / enterprise search Broad enterprise

Based on public product positioning and common enterprise deployment patterns. Exact capabilities depend on customer configuration, connectors and permissions.

Positioning

The pitch is simple: your building documents deserve their own system of intelligence.

Not another chat window

Findable is designed around documents, buildings, portfolios and compliance tasks, not a blank prompt box.

No migration drama

It sits on top of the systems teams already use, then makes the content searchable and useful.

Answers with sources

Operational teams need answers they can trust, trace and act on during audits, sales and incidents.

Gaps become visible

The valuable part is not only finding files. It is exposing what is missing, expired or hidden in the wrong place.

Next step

See what this looks like on your building documentation.

Bring the messy SharePoint, the old O&M manuals and the certificates nobody wants to chase manually.

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