Digital Marketing11 min read

Internal RAG AI assistant for a law firm: cost and confidentiality

Mohamed Bah·Fondateur, Kolonell
October 31, 2026
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Internal RAG AI assistant for a law firm: cost and confidentiality

Internal RAG AI assistant for a law firm: cost and confidentiality

Digital Marketing

The verdict in three sentences

A RAG assistant (retrieval-augmented generation) plugged into your precedents, opinions and internal notes pays off from 20 lawyers, provided the knowledge base is well organised. Legal privilege requires controlled hosting, zero-retention APIs and matter-level access control. Market tools such as Harvey are quick to roll out, while custom builds win when you want to exploit your own know-how and keep full control of the data.

What document search costs today

In a commercial firm in Paris or London, an associate spends on average 3 to 6 hours a week finding a clause precedent, a past opinion or an internal research note. That time is not always billable, and partners' know-how stays locked in matter files.

Indicator (40-lawyer firm, 2026 order of magnitude)Without assistantWith RAG assistant
Search time per lawyer per week3 to 6 h1 to 2 h
Hours recovered per year (40 lawyers, 45 weeks)03,600 to 7,200 h
Value at EUR 150 an hour (average internal rate)0EUR 540,000 to 1,080,000
Time to find a precedent15 to 40 minunder 1 min
Reuse of existing opinionslow, memory-dependentsystematic, with cited sources
Onboarding a new associate3 to 6 months1 to 2 months

Even if only 25% of these hours are actually converted into billable work, the gain far exceeds the project cost.

Market tool or custom assistant

CriterionMarket legal AI tool (Harvey type)Custom RAG assistant
Upfront investmentEUR 0 to 10,000 rolloutEUR 20,000 to 50,000
Recurring costEUR 80 to 250 per lawyer per monthEUR 300 to 1,500 API + EUR 150 to 400 hosting per month
Annual cost for 40 lawyersEUR 38,400 to 120,000EUR 5,400 to 22,800
Use of your internal documentspartial, depends on connectorsfull (DMS, shares, archived email)
Hostingoften multi-tenant or offshorededicated instance in your region
Matter-level access controlvariesmirrors your DMS permissions
Customisation (house style, templates)lowfull
Time to go live2 to 6 weeks8 to 14 weeks

For 40 lawyers, a custom assistant usually pays back against per-seat subscriptions from year two, while keeping data under your control. London firms often combine both: a market tool for public law research, a custom assistant for internal know-how.

Confidentiality: the non-negotiables

RequirementRecommended implementation
Legal privilege and professional secrecyno data shared with a third party without contractual safeguards
Hostingservers in the EU or UK, encryption at rest and in transit
AI model APIscontract with zero retention and no training on your data
Access rightsreplicate DMS permissions, segregation by client and matter
Loggingaudit trail of every query and document accessed
GDPR / UK GDPRDPIA and updated record of processing
Conflicts of interestautomatic exclusion of matters behind ethical walls

Mini case study

Laurent, innovation partner at a 40-lawyer firm in Paris, has 25,000 documents indexed (precedents, opinions, research notes). Custom project: EUR 38,000, then EUR 900 a month in API and EUR 250 in hosting, or EUR 13,800 a year. After 3 months, lawyers save 2.5 hours a week on average, 4,500 hours a year. Valuing only 20% of that time at EUR 150 an hour, the gain reaches EUR 135,000 a year. First-year cost: EUR 51,800. Payback in under 5 months.

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FAQ

Can the assistant invent case law?

The RAG approach limits that risk: every answer cites the internal documents used, with a direct link. Unsourced answers drop below 2% with strict settings, and the lawyer always checks the source.

Are our documents used to train the model?

No: the API contracts used exclude retention and training. Documents stay in your vector database hosted in your region.

Which DMS can we connect?

NetDocuments, iManage, SharePoint or a plain network share. A connector costs EUR 2,000 to 6,000 depending on the available API.

How long to index 25,000 documents?

Technical indexing takes 1 to 3 days; clean-up (duplicates, outdated versions) takes 2 to 4 weeks with a firm sponsor.

Should clients be informed?

A clause in the engagement letter or privacy notice is recommended, especially if client documents are indexed.

Let's scope your project. Tell us the number of lawyers, your DMS and document volume, and we will price the RAG assistant, its indicative budget, hosting and go-live timeline. Detailed quote within 48 h. WhatsApp +221 77 596 93 33.

Tags:#AI#RAG#law firm#Paris#knowledge base#legal privilege
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Mohamed Bah

Fondateur, Kolonell

Passionate about digital and entrepreneurship in Africa, Mohamed has been helping Sénégalese businesses with their digital transformation since 2020. Founder of Kolonell, he believes every SME deserves a professional and accessible online présence.