For London law firmsFor accountancy practicesFor financial advisersFor insurance brokers & MGAsFor compliance, DPO and risk leads
Runs on your hardware·Zero retention
12Demos
0Words processed
0Data retained

VantagePoint Networks — VP Lab

AI at its best — on your data.

For London law firms, accountancy practices and financial advisers who can’t put client data in ChatGPT.

Twelve interactive AI tools. Public demos run on Groq; the private deployment runs on your own hardware.

How VP Lab works

01

Paste it

Drop in a contract, email, policy, meeting transcript, or any other text.

02

Upload it

Or upload your own .txt, .md, .pdf or .docx — parsed in your browser.

03

Ask it

Get a structured answer in seconds — summary, actions, redactions, citations.

More we can build

Your workflow, your hardware.

The twelve demos above are the ones we think hit hardest across regulated London SMBs. They aren’t the limit. A private deployment is shaped around the work you actually do. If your pain isn’t on the board, it’s probably on this list — or it’s the thing we build next.

For law firms (SRA-regulated)

  • Deposition / witness-statement summariser
  • Discovery & disclosure triage
  • Case law précis — ratio, dicta, relevance
  • Retainer-letter drafter
  • Conflict-check assistant
  • Bundle indexer ("what’s in these 400 pages")

For accountancy practices

  • Management-accounts narrative generator
  • Tax return sense-check
  • Audit-question drafting
  • Client-letter drafter for HMRC correspondence
  • Engagement-letter generator
  • Year-end pack assembler

For financial services

  • Suitability-report first draft
  • Adviser-file review against Consumer Duty
  • FCA Consumer Duty gap-check
  • Fact-find extractor (messy notes → structured)
  • Pension transfer triage

For insurance (brokers, MGAs, small underwriters)

  • First-notice-of-loss triage
  • Policy comparison across insurers
  • Underwriting submission summariser
  • Complaints root-cause classifier

For compliance, DPO and risk functions

  • Policy-compliance check (draft vs internal policy)
  • DSAR response helper
  • Personal-data breach notification drafter
  • Third-party / vendor risk questionnaire responder
  • Regulatory-horizon scan (FCA/SRA/ICO bulletin digest)

For city traders, NEDs, finance directors

  • Research-note condenser
  • Earnings-call transcript distiller
  • NED pre-read compressor
  • RFP / tender response drafter
  • Supplier-questionnaire responder
  • Committee-minute actioner (per-regime variants)

None of these are built here as public demos. They’re examples of what a private deployment looks like when it’s shaped around one firm’s actual work. If yours isn’t on this page, that isn’t a no — it’s usually the thing we build next.

Why private AI, not ChatGPT

Public AI tools stop where your business starts.

Demos like the twelve above show what’s possible. A private deployment is why companies actually pay for this — and it solves six problems a public API can’t.

Your data stays in your building

Client files, contracts, payroll, meeting recordings — none of it leaves your network. No third-party API, no logs you don’t control, no "we may use your data to improve the service" small print.

Predictable cost at scale

Public AI APIs charge per token. 50 staff using a document assistant 10 times a day adds up to thousands per month. A private deployment is hardware + power — cost is flat no matter how heavily your team uses it.

Works when the internet doesn’t

API outages, ISP blips, a cable cut in a data centre three counties away — public AI goes down with it. Local inference keeps running whether or not the outside world is reachable.

Trained on your work, not the internet

Your policies, your terminology, your historical contracts, your product docs. A model that’s seen your actual operation gives dramatically sharper answers than a generic one that hasn’t.

Compliance and audit on your terms

GDPR, FCA, SRA, ISO 27001 — regulators want clear data flows. "It went to an American cloud AI provider" is a harder story than "it never left the building." Your logs, your retention, your subject-access response.

No lock-in, no rate limits, no surprise pricing

Vendor changes terms? Raises prices 3×? Rate-limits you at month-end? Swap the model, swap the provider, keep the same hardware and workflow. You own the platform, not the subscription.

The twelve demos above run on Groq so anyone can try them. A private deploymentruns the same class of model on hardware you own, inside your network — book a free 20-min call to scope one →

Built for real sectors

Tools that map to actual SMB workflows.

Legal

Contract risk scans, plain-English clause translation, private Q&A over case files — all without handing client data to a third-party SaaS.

Accountancy

Invoice/receipt extraction with CSV export, meeting notes → action items, document anonymisation for GDPR-safe review.

Financial services

Private document Q&A for brokers and investment firms where data leaving the network is a compliance issue, not an inconvenience.

The honest bit

Public demo, private deployment — two different stories.

These public demos send your text to Groq(a third-party AI API) for processing — so please don’t upload real client data here. The private deployment runs the same class of model entirely on your own hardware: zero data leaves your network, no third-party API in the loop.