AI Growth Systems for UK Solicitors and Law Firms.

Yes — every workflow is built explicitly around SRA Code of Conduct 2019, the SRA Transparency Rules (Dec 2018 / Nov 2019) requiring published fixed-fee ranges for conveyancing, probate, immigration, employment tribunal and debt recovery, and the Money Laundering Regulations 2017 (as amended). The AI receptionist is trained never to give legal advice or imply outcomes — its job is intake, qualification and booking, not advisory. Marketing copy avoids comparative claims and outcome guarantees that the SRA enforces against (e.g. 'best solicitor', 'guaranteed compensation'). Pricing pages are structured to meet the Transparency Rules format — published fee ranges, breakdowns of disbursements, VAT treatment, and timescales — both because the SRA requires it and because compliant pricing pages convert significantly better than 'request a quote' walls. Lead-source data is captured at first contact and dropped into your case management system so it's available for the LSAG-style risk assessment your COLP/COFA needs anyway.

Yes — we integrate with every major UK legal case management and practice management system: LEAP (the dominant high-street system), Quill Pinpoint and Interactive, Proclaim (Eclipse Legal Systems, common in PI and conveyancing volume firms), Clio (mid-market and modern firms), Actionstep, MosaIQ (formerly SOS Connect), Eclipse, Osprey Approach, and the Tikit/Aderant/Elite stack used by larger commercial firms. Kerblabs sits in front of the case management system rather than replacing it: leads from the website, AI receptionist, Google Ads landing pages and Google Business Profile flow directly into your matter pipeline with source attribution, conflict-check fields, basic AML risk-assessment data and matter-type routing already populated. Reviews, missed-call text-backs and post-completion review-request sequences fire from CMS-driven triggers (matter completion, file closure) rather than manual workflows. We've built integrations with the major Land Registry, conveyancing search and AML check providers (Thirdfort, SmartSearch, Credas, Verify 365) where they're relevant to your matter pipeline.

This is the single most important compliance design decision in legal-vertical AI receptionist work, and we get it right. The AI is explicitly trained — and the prompts are reviewed by a practising SRA-regulated solicitor as part of onboarding — never to give legal advice, never to express opinions on prospects of success, and never to commit the firm to act. If a caller says 'my landlord is evicting me tomorrow, what do I do?' or 'my husband has just been arrested, what are my rights?', the AI says some version of 'I can't give you legal advice over the phone, but I can get you a same-day appointment with a solicitor who specialises in this area — would that help?' and either books the urgent slot or takes a structured message routed to the relevant fee earner. Every call is recorded, transcribed, and logged with the matter type, urgency level and any deadline mentioned (Home Office deadline, court date, completion date) so the responding solicitor has full context. This is exactly the design pattern the SRA's risk team has signalled approval of in published guidance on AI tools.

Personal injury marketing economics changed materially with the Civil Liability Act 2018 and the Whiplash Reform Programme (effective May 2021), which introduced fixed tariff awards for soft-tissue injuries up to £5,000 and shifted small-value RTA claims into the OIC (Official Injury Claim) portal, largely outside the traditional MOJ Claims Portal. The strategic implication: low-value whiplash claim marketing is now structurally unprofitable for most independent firms — the fixed tariffs don't support the acquisition cost. Where independents still win is in serious-injury PI (multi-track claims above £25,000), employer's liability, public liability, clinical negligence, occupational disease (asbestos/silicosis legacy in industrial regions), military and police claims. Our PI marketing playbook focuses on those categories with high-intent SEO ('serious injury solicitor [city]', 'asbestos compensation [region]'), APIL/AvMA membership signal amplification, MOJ Claims Portal integration where you still take fast-track work, and structured review-capture from completed cases.

Every lead captured by the Kerblabs system arrives with structured source-attribution metadata: which channel (organic search, paid search, Google Business Profile, referral, direct), which keyword or campaign, which landing page, the original IP region, the device type, and the timestamp. The AI receptionist also asks intake-stage questions designed to support AML and conflict-checking: how the client heard about the firm, the nature of the matter, expected funds source for property and probate matters, and any third-party introducer. This data flows into your case management system as structured fields rather than free-text notes, which means your COLP/COFA can run firm-wide LSAG (Legal Sector Affinity Group) AML risk assessment with real lead-source data rather than reception's best guess. For property work specifically — where source-of-funds and unusual-payment-route risk is highest — we surface enhanced-due-diligence triggers (overseas funds, cash purchases, PEP indicators) at first contact, before the file is opened. This makes Kerblabs distinctive among legal-marketing tools: most are built for SaaS lead-gen with no awareness of the regulated profession's risk-assessment obligations.