Law firm analytics dashboard
Revenue, realization, collections, work in progress and utilization by partner, practice area and office in one view.
See which practice areas, referral sources and matters make money, where intake leaks and how your caseload is moving, with dashboards built on your own practice data.
Most firms know their revenue at year end and little else in real time. Which marketing channels bring matters that actually sign? Which practice areas write off the most time? How long do matters sit between stages, and which lawyers are overloaded? The answers are already in your practice management system, your billing records and your calendars. Legal analytics pulls that data together so partners and practice managers can see the firm as it runs, not as it looked last quarter.
We build the full pipeline. Data comes from Clio, MyCase, PracticePanther, Smokeball or Filevine, plus intake logs, call records and spreadsheets, into a secure warehouse. We clean and model it so matter, client and time data agree across departments. A law firm analytics dashboard then tracks intake conversion, realization and collection rates, work in progress, matter cycle times and lawyer utilization, with legal KPI reporting delivered on a schedule to the people who own each number.
AI adds what spreadsheets can't. Contract data extraction turns thousands of agreements into a searchable table of parties, dates, values and renewal terms. Litigation analytics groups your own case history by court, matter type and outcome so you can price and staff new matters with evidence. Forecasting models show which leads are likely to sign and when cash will come in. The admin panel and analytics we built for AA JoyLand use the same approach. Everything sits behind matter-level permissions, so confidential client data is only visible to people entitled to see it.
Revenue, realization, collections, work in progress and utilization by partner, practice area and office in one view.
Tracks every enquiry from source to signed matter, so you know which channels and practice areas bring profitable work.
Analyzes your own case history by court, judge, matter type and outcome to inform pricing, staffing and strategy discussions.
Pulls parties, values, renewal dates and key clauses from large contract sets into a searchable, reportable database.
Shows how long matters spend in each stage and where they stall, so bottlenecks can be fixed.
Scheduled reports for partners, practice heads and in-house legal teams, delivered by email or Teams.
Matter, time, billing and intake data in a single trusted warehouse.
Each person sees the metrics they own, with drill-down to the underlying matters.
AI turns contracts and pleadings into structured, reportable fields.
Predicts lead conversion, cash collection and caseload from your history.
Ask "which practice area wrote off the most time last quarter?" and get an answer.
Matter-level security, ethical walls and audit logs carried into every report.
Using something else? If it has an API, a database or a webhook, we can connect to it.
Partners act on this month's numbers rather than waiting for year-end accounts.
Evidence from past matters supports fixed-fee quotes and team planning.
Marketing spend moves to the channels that bring matters that sign and pay.
Renewals, obligations and risks across a portfolio are visible in minutes.

AA JoyLand Entertainment required an AI-powered solution to handle customer inquiries and leads more efficiently. The project focused on developing a WhatsApp chatbot powered by Retrieval-Augmented Generation (RAG) with GPT, capable of managing leads, qualifying them, and saving lead data. The chatbot provided instant responses, sent PDFs upon request, and significantly enhanced customer interaction.

EzQanoon is an AI-powered legal assistant developed to revolutionize the way legal professionals manage their cases and research. The project aimed to provide a seamless experience by integrating a Generative AI chatbot with voice capabilities and an intuitive case management system (CMS). The chatbot was trained on Pakistan law data to offer accurate legal references, summarize PDFs, and respond to queries in English and Urdu.
It's the use of data from matters, time, billing, intake and documents to understand how a firm or legal department performs and to predict what comes next. Common uses are profitability, intake conversion, utilization and litigation trends.
Yes. We pull data from Clio, MyCase, PracticePanther, Smokeball or Filevine through their APIs or exports and combine it with intake and billing data from other systems.
It's analysis of past cases by court, judge, matter type, duration and outcome. Firms use it to price matters, set client expectations and decide how to staff a case. We build it on your own case history.
Language models read each contract and pull out the fields you define, such as parties, dates, values and renewal terms, into a database. Low-confidence results go to a reviewer, so the data stays reliable.
Yes. Data is encrypted, access follows matter permissions and ethical walls, every view is logged, and the platform can run in your own cloud and region.
Yes. We can deliver dashboards and legal KPI reporting in Power BI or Excel, or build a custom dashboard when you need something more tailored.
AI receptionists that answer every call, run structured legal intake, qualify by practice area and book consultations, including after hours.
Explore AI ChatbotsLegal intake chatbots and RAG-based AI legal assistants for websites, WhatsApp and client portals, grounded in your sources with lawyer handoff.
Explore AI AutomationAutomation for legal intake, conflict checks, document drafting, contract review, matter updates and billing, with lawyer approval built in.
Explore Custom AI DevelopmentCustom legal AI: contract analysis tools, research assistants with citations, legal tech MVPs and AI features inside existing legal software.
ExploreTell us the three questions about your firm you can't answer today. We'll show you the dashboard that answers them.