
Concurrences ships native iOS and Android conference apps for a Paris legal publisher
- 16 weeks
- First commit to production on iOS and Android
- 2+ years
- In production without a rebuild
- Zero
- App-side stability issues since release
Legal teams manage matters in spreadsheets, review contracts manually, and chase clients for status updates by email. Each of those is a billable hour not being billed and a risk not being tracked. We build the software that replaces the manual work.
If your lawyers are managing matters across spreadsheets, email, and disconnected tools, or your contract review process relies on people reading every clause manually, we build the system that replaces the manual work with software.
Case and matter management systems built for how your practice actually runs
AI contract analysis that surfaces the clauses and risks that matter, fast
Client portals that give clients visibility without flooding your lawyers with status calls
Document automation that turns a 2-hour drafting task into a 10-minute self-service workflow
What you can count on
Retention
3+ years
Average client relationship across active accounts
First milestone
Week 1
A straight read on what to keep and what to rebuild
Pricing
Fixed price
Scope and cost agreed before work starts
Team
No handoffs
The senior engineers who scope the build also ship it
The problem
Managing cases and documents across disconnected tools with no single view of matter status?
Manual contract review taking days when your clients need answers in hours?
Short answer
RaftLabs builds custom legal software for law firms, in-house legal teams, and LegalTech companies: case and matter management, AI contract analysis, document automation, and client portals. A first module launches as a validated v1 in 10 to 14 weeks, starting around $20k to $40k, then grows into a full platform. Client confidentiality is built in from day one: role-based access, encryption at rest and in transit, SOC 2 Type II hosting, and full audit logging.
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Legal work generates enormous amounts of structured information: matters, deadlines, documents, billing records, client communications, court filings. Most of it lives in email threads, shared drives with inconsistent naming, and spreadsheets only one person knows how to maintain. When a partner needs a status update on a matter, someone has to compile it manually. When a client asks where their contract stands, someone has to check three places to answer.
We build legal software that puts that information into systems designed to hold it. Matter status visible without asking. Document versions tracked automatically. Contract review completed in hours, not days. Billing time captured as work happens, not reconstructed at month end.
By 2027, AI moves from pilot to standard practice inside legal work. It earns that place only where a firm can prove where client data sits and keeps a lawyer signing off on every AI output. That is why we build legal AI with a human in the loop, not as an oracle. The hallucination rates above are the reason the lawyer stays on every result, and why we ship AI features with confidence indicators and citations back to source, never a bare answer.
Matter management scattered across email and spreadsheets
Partners can't get a live view of matter status without asking an associate to compile it. Deadlines live in individual calendars. Documents are spread across email threads and shared drives with no consistent naming convention. When a client asks for a status update, someone has to check three places before they can answer. That's unbillable time spent on admin, not legal work.
Manual contract review taking days when clients need hours
Associates read contracts page by page looking for non-standard clauses and missing provisions. A 50-page NDA takes two to four hours of lawyer time. When deal volume increases, review capacity becomes the bottleneck and clients feel the delay. The cost per review is high and the throughput is low. That's realisable revenue left on the table.
Billing time reconstruction at month-end causing write-offs
Lawyers record time from memory at the end of the week or the month. Entries are vague, incomplete, or missing entirely. According to Clio's 2024 Legal Trends Report, lawyers bill an average of just 2.6 hours out of an 8-hour workday, meaning roughly 67% of their time goes to non-billable admin, intake, billing, and business development. The billing team reconstructs what they can and writes off the rest. A firm billing 20 lawyers loses meaningful revenue every month to time that was worked but never captured. That's a revenue leak with a straightforward fix.
Document version control failures causing regulatory risk
Multiple versions of the same contract or brief circulate via email with no clear record of which is current. A lawyer works from a stale version. A client receives an outdated document. For matters with SRA or GDPR implications, version failures aren't just operational: they create direct regulatory exposure.
Custom matter management that tracks every active case across the firm: deadlines, documents, tasks, time entries, and correspondence in one place. Built around your practice areas and your workflow, not a generic legal SaaS template. Role-based access means partners, associates, paralegals, and clients each see what they need and nothing they shouldn't.
AI contract review tools that read contracts, identify defined terms, flag non-standard clauses, surface deviations from your standard positions, and extract key data points into structured outputs. Your lawyers review the flagged items rather than reading every page. Faster review for your team, faster turnaround for your clients.
Template-driven document assembly that generates first drafts from structured inputs. A paralegal fills a form with client name, deal terms, governing jurisdiction, and specific provisions, and the system produces a draft that meets your firm's standards. Takes a 2-hour drafting task down to minutes and removes the transcription errors that come with manual drafting.
Secure client portals where clients can track matter status, access documents, submit instructions, and communicate with their legal team without calling or emailing for every update. Reduces the volume of status requests your lawyers handle. Clients with visibility are easier to manage than clients kept in the dark.
Time capture tools that record billable time as work happens, integrated with matter management so every entry ties to the right matter and client. Billing workflows that take a time record to a draft invoice without manual reconstruction. Trust account management, write-off tracking, and accounts receivable reporting built in.
Compliance tracking systems for law firms managing professional conduct obligations, conflict of interest checks, client due diligence records, limitation period monitoring, and regulatory reporting. For in-house legal teams: tools that track regulatory changes, map them to affected policies and contracts, and manage remediation workflows.
Legal software development covers building the systems that manage legal work: case and matter management, document storage and version control, contract drafting and review, client communication, billing, and compliance tracking. For law firms, it often means replacing a mix of email, shared drives, and spreadsheets with a single platform built around their practice areas and workflows. For LegalTech companies, it means building a product that other law firms or legal teams will pay to use. For in-house legal teams, it means giving the legal department the same operational infrastructure other business functions take for granted. The technical work includes building the backend data model that captures how legal work is structured, the workflow logic that routes tasks and documents to the right people, integrations with court systems and document signing platforms, and user interfaces that lawyers actually find faster than the manual process they replace.
Client confidentiality isn't optional in legal software: it has to be built in from the start. We design legal platforms with end-to-end encryption, role-based access controls so users only see what their role permits, complete audit logs of every access and change to sensitive files, and SOC 2 Type II hosting. Data stays in the geographic regions your data protection obligations require. We don't share client data with third parties and we design AI features so your client documents aren't used to train external models. For law firms with specific information barriers requirements, we build ethical wall functionality that enforces those barriers in the software, and we integrate e-signature through DocuSign or Adobe Sign so document execution stays inside the same audit trail. Before development starts, we work through your firm's security and data handling requirements so the architecture is correct from the beginning, not patched after a security review finds gaps.
AI contract review tools process a contract document, identify and extract defined terms, clauses, and key provisions, then compare them against a reference set of your standard positions or a general legal knowledge base. The output is a structured report showing which clauses are present, which are absent, which deviate from your standards, and which contain language that warrants lawyer attention. What AI contract review does well is handle the volume problem: reviewing 50 NDAs for standard provisions in the time it would take a lawyer to read five. What it doesn't replace is lawyer judgment on complex negotiating decisions, jurisdiction-specific nuances, or novel legal issues the training data hasn't encountered. We design AI legal tools with clear output formats and confidence indicators so your lawyers know which items to trust as routine and which to read carefully. The tool reduces the reading burden. The judgment call stays with the lawyer.
A focused first module: a matter management system for a specific practice group, an AI contract review tool scoped to one document type, or a client portal for an existing firm, typically launches as a validated v1 in 10 to 14 weeks from kickoff. That v1 is the first shippable slice you can put in front of real users, not the finished platform. We work in two-week sprints and you see working software at every sprint review, not just at the end. The full practice platform grows from there as an ongoing build: more integrations, more users, more workflows. We scope every project in detail before development starts so you know the timeline, what's included, and the fixed cost before you commit.
Legal billing and time management software
Time capture, matter billing, trust accounting, WIP reporting
Contract management software development
Contract lifecycle, obligation tracking, renewal alerts
AI contract review for legal teams
Clause flagging, deviation from standard, risk surfacing
Legal document review automation
Automated review, document classification, extraction
Legal compliance management software
Conflict checks, KYC workflow, deadline tracking
Law firm client intake software
Conflict checking, engagement letters, KYC collection
AI legal research software
Case law search, statute tracking, AI research memos
Bail bond agency software
Bond ledger, collateral tracking, court-date compliance, multi-office agent tracking
Digital forensics and eDiscovery software
Evidence collection, chain-of-custody, litigation hold, document review platforms
AI Document Intelligence
OCR and AI extraction from contracts, briefs, discovery documents, and court filings at scale.
AI Agent Development
Autonomous agents for legal research, contract review, matter summarisation, and compliance monitoring.
Business Process Automation
Automate matter intake, document routing, time capture, and billing workflows.
Custom Software Development
Custom practice management, contract lifecycle, and client portal tools built for your firm size and matter type.
Tell us what your legal team is managing today, where the manual work is, and what you want to automate or improve. We'll tell you how we'd approach it.
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AI for Legal Firms and Departments
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Legal Document Review Automation
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AI Contract Review for Legal Teams
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Legal Software Development
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Concurrences ships native iOS and Android conference apps in 16 weeks with zero app-side stability issues in two-plus years of production
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