Browse every solution we build — from client intake to due diligence automation. Filter by sector or scroll to explore.
Law firms handling property transactions are using AI to automate title searches, draft standard correspondence, manage completions and closings, and reduce the admin burden on fee earners. Here's what's being built in 2026.
Family law firms are using AI to score and route client intake, draft financial disclosure documents, automate Form E preparation, and assemble court bundles. Here is what gets built in 2026.
Commercial litigation teams are using AI to accelerate document review, automate court bundle preparation, manage disclosure obligations, and track procedural deadlines across complex multi-party disputes.
Employment law firms are using AI to build claim calculators, automate tribunal bundle preparation, draft workplace policies, and triage incoming enquiries by claim type and value.
Corporate law teams are using AI to accelerate due diligence, automate document production for transactions, monitor regulatory compliance, and manage deal workflows from heads of terms through to completion.
Private client teams are using AI to automate will drafting, streamline estate administration, support tax planning scenarios, and improve client onboarding for high-net-worth individuals and families.
Tax advisory practices are using AI to automate return preparation, model planning scenarios across multiple tax heads, and manage HMRC correspondence and enquiries with full audit trails.
Audit and compliance teams are using AI to automate evidence gathering, generate workpapers, perform variance analysis, and streamline the entire audit workflow from planning through to sign-off.
Bookkeeping practices are using AI to automate bank reconciliation, extract data from receipts and invoices, and generate client-ready management reports without manual data entry.
Forensic accounting teams are using AI to detect patterns in financial data, assemble and organise evidence for litigation and investigation, and generate structured reports for courts and regulators.
Due diligence advisory teams are using AI to accelerate document review in data rooms, flag commercial and financial risks automatically, and compile structured diligence reports in days rather than weeks.
Management consulting firms are using AI to automate market research, generate proposal documents, draft client deliverables, and accelerate the analytical work that drives engagement profitability.
Family law firms are using AI-scored intake wizards to qualify divorce, children, and financial remedy enquiries automatically, routing high-value cases to senior solicitors and reducing response times from days to minutes.
Conveyancing practices are using AI-powered intake to collect property transaction details, run AML and conflict checks, create matters automatically, and send engagement letters, all before a fee earner touches the file.
Family law firms are using AI to draft client letters, financial statements, position statements, court forms, and standard inter-solicitor correspondence from case data, cutting document production time by 60-70%.
Litigation teams are using AI to assemble court bundles automatically, gathering documents from case files, ordering them per CPR Practice Directions, generating indexes, and producing paginated, hyperlinked PDFs in hours rather than days.
Conveyancing practices are using AI to automate AML and KYC verification, validate property search results, check regulatory requirements at each transaction stage, and maintain auditable compliance records throughout the matter lifecycle.
Employment law firms are using AI-powered intake systems that combine claim calculators with triage scoring to qualify enquiries, estimate case values, and route claimant and respondent matters to the right fee earner within minutes.
Accounting practices are using AI to automate the preparation of SA100 self-assessment, CT600 corporation tax, and partnership tax returns by extracting data from accounting software, validating figures, and flagging inconsistencies before review.
Audit teams are using AI to retrieve, organise, and cross-reference evidence from client accounting systems, reducing the evidence gathering phase from days to hours while improving completeness and traceability.
Conveyancing teams are using AI to draft standard letters, completion statements, SDLT returns, and post-completion filings from matter data, cutting document production time by 70% while maintaining consistency across every transaction.
Litigation teams are using AI to draft pleadings, witness statements, disclosure schedules, and skeleton arguments from case data and source documents, reducing first-draft production time from days to hours while maintaining the precision commercial courts demand.
Employment law firms are using AI to draft settlement agreements, employment contracts, tribunal responses, and HR policy documents from matter data and clause libraries, cutting drafting time by 60% while ensuring compliance with current employment legislation.
Litigation firms are using AI-scored intake systems to assess prospective commercial disputes on merits, quantum, and cost exposure, routing viable cases to the right fee earner and generating costs estimates before the first meeting.
Corporate law teams are using AI intake systems to process new instructions, run multi-entity conflict checks, generate engagement letters with scope and fee estimates, and create matter records automatically, cutting the instruction-to-active-matter timeline from days to hours.
Private client teams are using AI intake wizards to collect will instructions, estate administration details, and trust information, automatically flagging IHT exposure, capacity concerns, and complex family structures before the first consultation.
Employment law firms are using AI to track ACAS early conciliation deadlines, tribunal time limits, right-to-work verification, and regulatory compliance across high-volume caseloads, ensuring nothing falls through the cracks when every deadline is jurisdictional.
Corporate law teams are using AI to monitor Companies House filing deadlines, maintain PSC registers, track director disclosure obligations, and verify regulatory compliance across client portfolios, replacing the manual tracking that fails at scale.
Family law teams are using AI to assemble financial disclosure bundles, children act bundles, and mediation document packs automatically, formatting documents per FPR Practice Directions and producing indexed, paginated PDFs ready for court or MIAM sessions.
Conveyancing practices are using AI to automate chain tracking, milestone progression, completion workflows, and key date monitoring, giving fee earners and clients real-time visibility of where every transaction stands and what needs to happen next.
Family law teams are using AI to track case stages, court date deadlines, disclosure timelines, and multi-party coordination across financial remedy, children act, and domestic abuse proceedings, replacing the diary system that cannot scale beyond one fee earner's memory.
Conveyancing practices are using AI to generate progress updates, search result notifications, completion confirmations, and post-completion status messages automatically, reducing client chase calls by 50% while keeping every buyer and seller informed at every stage.
Accounting firms are using AI to generate management accounts, period-end commentary, and client dashboards automatically from Xero, Sage, and QuickBooks data, transforming monthly reporting from a manual production exercise into an automated insight delivery pipeline.
Accounting firms are using AI to automate transaction matching, exception flagging, and multi-source reconciliation across client bank feeds, reducing the hours spent on month-end reconciliation from days to minutes while catching discrepancies that manual processes miss.
Accounting firms are using AI to automate new client onboarding by collecting documents, running AML checks, generating engagement letters, connecting accounting software, and setting up CRM records, cutting the onboarding timeline from weeks to days.
Accounting firms are using AI to automate Companies House filings, HMRC submissions, confirmation statements, and annual accounts preparation, tracking every deadline across client portfolios and generating submission-ready documents from accounting data.
Audit teams are using AI to generate workpapers from source data automatically, producing ISA-compliant documentation with lead schedules, supporting analyses, and cross-references that would otherwise consume 40% of the audit team's field time.
Audit teams are using AI to detect patterns, flag anomalies, and assess materiality across financial data sets, identifying variances that warrant investigation and distinguishing genuine exceptions from noise, making analytical procedures faster and more effective.
Accounting firms are using AI to model multi-scenario tax positions, optimise allowance utilisation, and surface planning opportunities from client data, turning reactive compliance work into proactive advisory conversations that increase client value and firm revenue.
Advisory firms are using AI to draft proposals from templates injected with client context, competitive positioning, and pricing models, cutting proposal turnaround from a week to a day while producing more tailored, higher-converting documents.
Advisory firms are using AI to process data rooms, extract risk indicators, and compile due diligence reports automatically, cutting the time from data room access to first draft report from weeks to days while ensuring no document in the room goes unreviewed.
Advisory firms are using AI to automate source gathering, synthesis, and citation management for client research, producing structured research packs from multiple sources in hours rather than the days of analyst time that manual research requires.
Advisory firms are using AI to build live KPI dashboards that aggregate data from multiple client sources, providing real-time performance visibility that replaces the static monthly report with an always-current view of the metrics that matter.
Advisory firms are using AI to transcribe client meetings, extract key decisions and action items, generate structured summaries, and prepare client file notes automatically, ensuring nothing from a conversation is lost and every action is tracked to completion.
Advisory firms are using AI to generate first drafts of client deliverables from structured notes and data, matching the firm's house style, cutting the production cycle from days to hours while maintaining the quality that justifies advisory fees.
Advisory firms are using AI to build financial models from source data, extract assumptions from documents, run scenario analyses, and generate model outputs that would otherwise require days of analyst spreadsheet work, accelerating deal timelines and improving model accuracy.
The AI Audit maps your workflows, identifies the highest-ROI opportunities, and recommends which systems to build first. Two weeks, fixed fee.