How we automated Clearview's contract review pipeline, matter intake, time recording analysis, and client reporting — recovering 44% of fee-earner capacity from non-billable work and generating £1.4M in additional annual revenue from the same 42-fee-earner firm.
Clearview Legal had 42 fee-earners averaging 58% billable utilisation against a 72% target. Standard contract reviews took 4 hours. Matter intake generated 38% rework. Time recording was retrospective and losing the firm £280k annually.
We deployed five SRA-compliant automation pipelines in 18 days. Within 90 days, contract review dropped from 4 hours to 22 minutes, utilisation rose from 58% to 71.4%, and £1.4M in additional annual revenue was generated from the same team.
Clearview had built a strong practice in mid-market M&A and commercial contracts with a client base that included 8 PE houses and 40+ corporate clients. Their challenge was the same as most professional services firms scaled beyond 40 people: the administrative layer had grown in proportion to the practice rather than being automated. The Managing Partner's frustration was direct: 'I have solicitors billing at £380/hour spending 4 hours on a contract review that a well-configured AI can do in 20 minutes. That's £1,520 of legal time on a task that should cost £130 in AI-assisted review.'
At 58% utilisation against a 72% target, Clearview's 42 fee-earners were generating £11.2M. At 72% utilisation — achievable by eliminating the primary non-billable drains — the same team would generate £13.9M. The gap was £2.7M.
Every NDA, supply agreement, SPA, and employment contract required a fee-earner to read the full document, identify non-standard clauses, flag risk positions, and produce a first-pass summary. At 4 hours per review, £380/hour, this represented £1,520 in fee-earner time before any advisory work began. The firm processed 320+ contracts annually. Result: £486,400/yr in contract review time that AI could handle in 22 minutes.
New matter instructions arrived by email in client format. No mandatory fields, no automatic conflict checking, no pre-validation of scope or budget. 38% of new matters hit a rework cycle in the first week when missing information was discovered during file opening — costing an average of 6 hours per affected matter. Result: 6h rework × 38% × 180 new matters/year = 410 hours of unbilled rework annually.
Fee-earners recorded time at end of day or end of week from memory. Calls, emails, and document reviews frequently went unrecorded. The firm's practice management system showed an average of 1.4 hours per fee-earner per day unrecorded against actual work logs. At an average billing rate of £340/hour across all fee grades: £280k in unbilled time annually. Result: £280k/yr in recoverable unbilled time.
Matter update frequency and format varied entirely by fee-earner preference. Some clients received weekly updates; others went weeks without contact. Client satisfaction surveys consistently cited communication consistency as their primary complaint. The firm had no client portal and no structured update process. Result: 3.4/5 average client satisfaction on communication · above-average churn rate.
The firm had 12 years of high-quality precedent documents — NDAs, SPAs, shareholder agreements, employment contracts — stored in individual fee-earner drives and a partially organised shared server. New joiners couldn't find them. Experienced fee-earners recreated documents from scratch rather than search for existing precedents. Result: Estimated 2.8 hours per matter wasted recreating existing precedent work.
Every pipeline reviewed by Clearview's SRA compliance partner before build. PII masking applied at every external API boundary. No client data passed to AI providers without explicit consent and anonymisation.
Contract uploaded to secure portal triggers extraction pipeline. Claude AI reads document, identifies clause types, flags non-standard positions against Clearview's standard risk framework, highlights missing protections, and produces a structured review summary with risk rating. Fee-earner reviews AI summary in 20 minutes rather than reading full document for 4 hours.
New matter portal with mandatory fields by matter type. Submissions automatically checked against conflicts database. Missing scope or budget information flagged before submission accepted. Completed intake brief pre-processed by Claude AI — key facts extracted and populated into the practice management system. File opening time reduced from 3 hours to 35 minutes.
Daily calendar events, email metadata, and document activity logs analysed by Claude AI at 5pm. Suggested time entries generated with narrative descriptions — fee-earner reviews and approves in 8 minutes. Unrecorded activity flagged for review. Billable time capture improved from an estimated 76% to 94% of actual time worked.
Weekly matter summary auto-generated from Clio activity data — tasks completed, upcoming deadlines, documents sent, time recorded. Claude AI drafts plain-English narrative summary per matter. Fee-earner reviews in 5 minutes and sends. Client portal launched with live matter status. Client satisfaction improved from 3.4 to 4.6.
12 years of precedent documents ingested and indexed in a searchable vector database. Fee-earners search by document type, clause, jurisdiction, or counterparty type. Relevant precedents surfaced automatically when a new similar matter is opened. Used in 84% of new matters within 60 days of launch.
All figures extracted from Clio, time-tracking, and client satisfaction surveys at 90 days. Reviewed and signed off by Managing Partner and the firm's SRA compliance partner.
Clio time-recording analysis. Contract volume and type breakdown. Matter intake rework root cause. Precedent library assessment. SRA compliance partner briefed on scope. PII handling architecture agreed.
PII masking layer designed and tested. Contract review risk framework built with Head of Commercial. AI prompts tested against 20 historical contracts — accuracy reviewed by senior partner. Conflict check integration with Clio scoped.
Contract review pipeline live day 12 — tested on 8 live matters. Review summary quality rated 8.6/10 by senior partner. Intake portal day 14. Time recording suggestions day 15.
Client matter update automation live day 16. Client portal configured for all 40 corporate clients day 17. Precedent knowledge base fully ingested day 18 — 847 precedent documents indexed.
Firm-wide training in 3 sessions by practice group. SRA compliance partner reviewed all automated pipeline audit trails at day 45 — no concerns raised. First 90-day review showed 84% precedent knowledge base adoption and 94% time recording capture rate.
45-minute strategy call. We'll audit your ops, identify your top automation wins, and give you the ROI estimate — specific to your stack.
Book Free Strategy Call View PricingI was spending 4 hours on every NDA review. The AI first-pass takes 22 minutes and flags every risk position with more rigour than my manual read. I spend 20 minutes reviewing the summary and adding my commercial judgment. We've effectively given every fee-earner in the firm 3 hours back per contract review.
The time recording suggestions changed our firm economics. Our fee-earners were capturing 76% of actual time worked. With the AI suggestions at end of day, we're capturing 94%. That's an additional £280k per year in billable time that was previously written off to memory failure.
Whether your problem is onboarding, churn, reporting, or all three — the pattern is the same. Let's audit your ops and build the roadmap.