Can you build AI contract analysis that surfaces the clauses and risks that matter rather than requiring lawyers to read every contract manually?

Yes. We build AI contract analysis that identifies defined clause types, compares language with attorney-approved positions, and flags missing or changed provisions. The system shows the source clause, playbook rule, and confidence behind each finding. An attorney decides the risk and approves every redline.

Where can attorneys use AI in legal work?

The strongest starting points are repeated first-pass tasks with an answer a lawyer can verify: research across approved legal sources, summaries of cases or transcripts, initial drafts based on approved precedents, contract clause analysis, due diligence issue spotting, and eDiscovery document classification. The lawyer remains responsible for checking sources, protecting client information, and making the legal decision.

We want to give clients a portal where they can track their matter status without calling us. Can you build that?

Yes. We build client portals with matter status tracking, document upload and download, secure messaging with the legal team, and billing statement access. Law firms use them to reduce status calls and give business clients the self-service access they now expect. Client data stays on your systems, not a third-party platform.

Can you build document automation that generates standard contracts and legal documents from a template without a lawyer drafting from scratch?

Yes. We build document automation with conditional logic, data-driven clause selection, approved precedents, and matter data populated from the source record. Generative AI can prepare a first draft or summary when the source set and output format are defined. A lawyer reviews the result before it becomes advice, a filing, or a document sent outside the firm.

How long does legal software take to build, and what does it cost?

A focused first module, matter management or an AI contract review tool, launches as a validated v1 in 10 to 14 weeks, starting around $20k to $40k. A full practice platform with client portal, billing, and document automation grows from there. Cost is fixed and agreed before work starts, with full source code ownership.

How do you handle client confidentiality and data security for legal software?

We build data security and client confidentiality into the architecture from the first sprint: role-based access controls limiting matter data to authorised staff, encryption at rest and in transit, SOC 2 Type II hosting, audit logs recording every data access event, and infrastructure options for data residency where your jurisdiction requires it. Privilege is enforced in the data model, not just the UI, and e-signature runs through DocuSign or Adobe Sign so execution stays inside the audit trail. We document the security controls during discovery for your IT and risk team to review.

Legal Software Development Company

Legal teams manage matters in spreadsheets, research across disconnected sources, read every contract from page one, and chase status updates by email. We turn those repeated first-pass tasks into software that shows its evidence and keeps the attorney in control.

Case and matter management systems built for how your practice actually runs
Legal research and summaries grounded in approved cases, transcripts, and firm knowledge
Contract analysis and eDiscovery review that route uncertain findings to attorneys
Client portals that give clients visibility without flooding your lawyers with status calls

3+ years RetentionWeek 1 First milestoneFixed price Pricing

The problem

Sound familiar?

Managing cases and documents across disconnected tools with no single view of matter status?
Are attorneys repeating the same research, drafting, contract review, and document triage without a source-linked first pass?
Can your team explain which matter data an AI system used, what it retained, and who approved the output?

Short answer

Legal software development covers matter management, client portals, billing, document workflows, and AI-assisted legal work. Attorneys use AI for source-grounded research, first drafts and summaries, contract analysis, due diligence, and eDiscovery review. Every material output needs source evidence, matter-aware access, testing, and lawyer approval. A focused first module usually takes 10 to 14 weeks and starts around $20,000 to $40,000.

Trusted by

To launch a validated v1 of a matter management or contract review tool: 10-14 wk

Clutch rating across shipped products: 4.9/5

Cost agreed before work starts: Fixed

Yours to own on delivery: Source code

Legal work managed in software, not spreadsheets and email

Legal software development turns matters, deadlines, documents, billing records, client communications, and court filings into controlled workflows. Without it, that information stays in email threads, inconsistently named shared drives, and spreadsheets only one person knows how to maintain. When a partner needs a matter update, someone has to compile it manually. When a client asks where their contract stands, someone has to check three places to answer.

Legal software puts that information into systems designed to hold it. Matter status stays visible without asking. Document versions remain traceable. AI handles a defined first pass across research, contracts, transcripts, or discovery material. Attorneys spend their time on the sources, exceptions, and decisions that need legal judgment.

Where the time and the risk actually sit

Billable hours in an 8-hour day for the average lawyer (Clio Legal Trends Report, 2024): 2.6 hrs

Hallucination rate found in leading AI legal research tools (Stanford RegLab and HAI, 2024): 17-33%

The American Bar Association's Formal Opinion 512 identifies legal research, contract review, due diligence, document review, regulatory compliance, and drafting as AI-assisted tasks. It also keeps the professional duties with the lawyer: competence, confidentiality, supervision, candour, and reasonable fees do not move to the software.

Current legal research products show the practical pattern. Lexis+ with Protégé answers natural-language questions, links results to legal sources, validates citations through Shepard's, and summarizes cases and uploaded material. That is the baseline for a useful legal AI interface: show the source, expose uncertainty, and make verification faster than starting from scratch.

For eDiscovery, the U.S. District Court for the District of Minnesota's eDiscovery guide treats technology-assisted review, also called predictive coding, as one of several search and review methods. Its practical questions cover training, quality control, precision, recall, and validation. The software can prioritize a population. Counsel still owns the protocol and the production decision.

Problems we solve in legal

01
Problem
Matter management scattered across email and spreadsheets
Solution
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.
02
Problem
Manual contract review taking days when clients need hours
Solution
Associates read contracts page by page looking for non-standard clauses and missing provisions. The risk may sit in one changed clause or one provision that never appeared. When deal volume increases, review capacity becomes the bottleneck. A playbook-grounded first pass can surface the deviation, show the source language, and leave the risk decision with the attorney.
03
Problem
Billing time reconstruction at month-end causing write-offs
Solution
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.
04
Problem
Document version control failures causing regulatory risk
Solution
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.

Software for legal teams

Matter and client operations
Matter status, deadlines, documents, tasks, time entries, intake, and client updates in one controlled workflow. Partners, associates, paralegals, and clients each see what their role and matter permissions allow.
AI legal research
Research systems that retrieve from approved primary law, firm knowledge, and matter documents, then return a structured answer with the supporting passages. Attorneys verify every proposition and authority before relying on it. See AI for law firms.
Contract analysis and due diligence
Clause extraction, playbook comparison, missing-provision flags, and due diligence issue lists for repeatable agreements. Each finding points back to the contract and the rule behind it. Attorneys decide materiality, risk, and redlines. See AI contract review software.
Drafting and summarization
First drafts from approved precedents and structured matter data. Summaries of cases, briefs, deposition transcripts, and document sets with page or passage references. The output starts the work; it does not approve itself.
eDiscovery document review
Duplicate grouping, relevance classification, possible-privilege flags, issue coding, and review queues for large litigation populations. The protocol, sampling method, quality checks, and completion decision stay with counsel. See legal document review automation.
Document, billing, and compliance workflows
Template assembly, time capture, matter billing, conflict checks, client due diligence, deadline monitoring, and regulatory remediation. Use deterministic rules for stable data moves; reserve AI for work that needs retrieval, classification, extraction, or a reviewable first draft.

How we work with legal clients

01
Discovery and requirements
We spend the first one to two weeks mapping your current legal workflows in detail: how matters are opened, how documents are managed, how time is recorded, and where the manual work actually happens. We identify the high-value problems to solve first and the integrations your existing tools require. You get a scoped proposal with a fixed cost before any code is written.
02
Architecture and security design
Legal software carries strict data confidentiality requirements. Before development starts, we design the data model, access control structure, encryption approach, and audit logging to meet your firm's security standards and any applicable SRA, GDPR, or attorney-client privilege obligations. That means SOC 2 Type II hosting and data residency pinned to the jurisdiction your clients require. Privilege and information-barrier rules get enforced in the data model, not bolted onto the UI. E-signature runs through DocuSign or Adobe Sign so execution stays inside the audit trail. We document the architecture so your IT and risk teams can review it before we build.
03
Sprint-based development
We build in two-week sprints. At the end of each sprint, you see working software, not a status report. You can test the actual system, give feedback, and adjust priorities before the next sprint starts. This is how you avoid the situation where a large software project delivers something wrong after six months of silence.
04
Launch and handover
We run user acceptance testing with your lawyers and support staff before go-live. We provide training documentation, run onboarding sessions for your team, and stay available for the post-launch period to handle anything that needs adjustment. You receive the source code and own the infrastructure outright.

Common questions

: Attorneys use AI for source-grounded legal research, case and transcript summaries, first drafts based on approved precedents, contract clause analysis, due diligence issue spotting, and eDiscovery document classification. Start with a repeated first-pass task whose answer a lawyer can verify. The system should show its source, record uncertainty, respect matter permissions, and require attorney approval where the output affects advice, filings, negotiations, privilege, or production.
: 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.
What's built in from the start
Access and audit

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

SOC 2 Type II hosting

Data handling and ethics

Data residency in the regions your data protection obligations require

No third-party data sharing, and no client documents used to train external models

Ethical wall functionality for firms with information barriers requirements

E-signature via DocuSign or Adobe Sign, 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 identifies clauses and key terms, compares them with an attorney-approved playbook, and flags missing or changed provisions. A useful result shows the source clause, the applicable playbook position, confidence, and any approved fallback language. It reduces the first-pass reading burden. It does not replace lawyer judgment on risk, negotiation, jurisdiction, or novel language, and no redline should leave the team without the approval path legal defines.
: 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 software by product

Proof

Case studies

Concurrences ships native iOS and Android conference apps for a Paris legal publisher

Related services

Legal services by area

Talk to us about your legal software project.

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.

Scope and cost agreed before work starts. No surprises. No obligation.
Working prototype within 3 weeks of kickoff.
Pay by milestone. You see progress before each invoice.
60-day post-launch warranty. Bug fixes, UI tweaks, and deployment support. No retainer.
All conversations are NDA-protected.

Useful next steps