Is this a legal AI product we subscribe to?

No. We build a custom legal AI system on your own data and hand you the code and infrastructure. There are no per-seat fees, and the system is shaped around your matters, playbooks, and jurisdiction rather than a generic average firm.

How do you keep privileged documents confidential?

Confidentiality is built in from day one. Documents are encrypted at rest and in transit, access is role-based, and every query is logged for audit. You can deploy in your own cloud tenant, on-premise, or air-gapped, and your documents never train anyone else's model.

Will the answers include citations?

Yes. Every answer cites the exact source, whether that is one of your matters, a clause in a contract, or external case law via Westlaw or LexisNexis. If the answer is not in the available data, the system says so rather than inventing a citation.

Can it draft documents, not just research?

Yes. We build drafting systems that work from your templates and cite the cases and clauses behind each section. This is the same capability behind LAWEP, the legislative drafting system we built for bills and acts.

What does a typical engagement cost and take?

Most legal AI projects run $75,000 to $175,000 and ship in 4 to 5 months at fixed price. The range depends on data volume, how sophisticated the task is, user scale, and your deployment and compliance needs.

Legal AI Development

Legal AI development built for your firm

Off-the-shelf legal AI tools do not know your matters, your precedents, or your jurisdiction. We build legal AI on your own data. That means case law research, contract review, and drafting that cite their sources. We built LAWEP, a legislative drafting system, and Inpro, a consumer legal guidance platform.

Book Strategy Call See Legal Case Studies

Engagement · Scope

Fixed price. Shipped in 4 to 5 months.

What you get

Built on your own matters and playbooks
Citations on every answer
Private, confidential deployment
Fits your document workflow

Timeline

4 to 5 months

Investment

$75K to $175K

Payback

Modeled before you sign

Built on your own dataIncluded

Citations on every answerIncluded

Private, secure deploymentIncluded

Why it matters

Why Generic Legal AI Falls Short

Legal software products are built for the average firm, not yours:

It Does Not Know Your Matters

A generic tool has never read your precedents, your playbooks, or your past matters. It answers from public data, not your firm's knowledge.

It Cannot Cite Its Sources

Lawyers cannot act on an answer with no source. Generic chatbots make up plausible citations, which is worse than no answer at all.

It Does Not Fit Your Workflow

Off-the-shelf tools sit outside your document system and matter management. The work of copying in and out kills any time saved.

It Raises Confidentiality Risk

Sending privileged documents to a public model with no audit trail and no data governance is a risk most firms cannot take.

What we build

Legal AI Built on Your Own KnowledgeWe build legal AI systems that read your data and show their work:

1 · Case Law and Matter Research

Answers With Citations

Index your matter history, precedents, and filings into a private vector database
Connect to Westlaw or LexisNexis via API for external case law
Every answer includes the source. If it is not in your data, the system says so
Cut research from 8 to 12 hours per case down to about an hour

2 · Contract Review and Analysis

Your Playbook, Applied Consistently

Reviews contracts against your firm's playbook and flags deviations
Extracts key terms, dates, obligations, and liability clauses
Routes high-risk clauses for partner review
Cut a 3 hour review down to about 30 minutes

3 · Legal Drafting and Policy Research

First Drafts From Your Templates

Drafts from your templates and cites the cases and clauses behind each section
Follows local court rules and jurisdiction-specific formatting
Built the legislative drafting system behind LAWEP
Perfect for bills, acts, briefs, and standard agreements

4 · Private and Secure Deployment

Privilege and Governance Protected

Deployment options: your cloud, on-premise, VPC isolated, or air-gapped
End-to-end encryption, role-based access control, and full audit logging
Your documents never train anyone else's model
Compliance: designed with SOC 2 and GDPR guidance, hosted on AWS or Google Cloud, client confidentiality preserved

What we measure

What we measureset against your baseline in discovery

Every engagement is scoped to a fixed price and an outcome you can measure, not billable hours.

Scale

50K+

consultations in the first year (Inpro)

Result

Drafting

Weeks

instead of months for bills (LAWEP)

Result

Satisfaction

92%

user satisfaction (Inpro)

ResultSee case studies

The comparison

THE EDGEFIRM DIFFERENCE

Unlike legal AI products (Harvey, Spellbook):

Built for your exact matters and playbooks
You own the code and infrastructure
No per-seat licensing fees

Unlike large consultancies:

4 to 5 month delivery, not 18 to 24
Fixed-price engagements
Production code from day one

Unlike DIY tools:

Proven RAG and drafting patterns
Citation and evaluation frameworks
Built for confidentiality from day one

Common questions

Common Questions About Legal AI Development

: No. We build a custom legal AI system on your own data and hand you the code and infrastructure. There are no per-seat fees, and the system is shaped around your matters, playbooks, and jurisdiction rather than a generic average firm.
: Confidentiality is built in from day one. Documents are encrypted at rest and in transit, access is role-based, and every query is logged for audit. You can deploy in your own cloud tenant, on-premise, or air-gapped, and your documents never train anyone else's model.
: Yes. Every answer cites the exact source, whether that is one of your matters, a clause in a contract, or external case law via Westlaw or LexisNexis. If the answer is not in the available data, the system says so rather than inventing a citation.
: Yes. We build drafting systems that work from your templates and cite the cases and clauses behind each section. This is the same capability behind LAWEP, the legislative drafting system we built for bills and acts.
: Most legal AI projects run $75,000 to $175,000 and ship in 4 to 5 months at fixed price. The range depends on data volume, how sophisticated the task is, user scale, and your deployment and compliance needs.