# How much does search over internal documents for law firms and legal teams cost?

_The AI Build Index, published by VIZIO AI. Updated 2026-11-04. USD._

Search over internal documents for law firms and legal teams typically costs about $6,400. Half of the 16 priced job posts we tracked fall between $400 and $18,350, and one in ten reaches $32,400 or more.

## Key facts

- Typical cost: $6,400, with the middle half of posts between $400 and $18,350.
- That is 156% above the $2,500 median across all AI builds we track.
- Most posts expect one to three months, with a median of $1,500.
- Fixed-price median $250; hourly estimate median $16,200.
- Hourly rates mostly run from $28 to $88 an hour.
- Most requested skills: Python, Artificial Intelligence and React.

## What it includes

Search over internal documents lets staff ask questions in plain language and get answers from company files with sources, using retrieval-augmented generation (RAG) rather than training a model.

Legal builds put confidentiality first. Privileged documents need strict access controls, answers need citations, and a lawyer stays responsible for anything sent to a client or court.

- Ingestion from drives, wikis and databases
- Text splitting and embedding
- A vector store and retrieval logic
- A chat or search interface with citations
- Access control so people only see what they should

## Systems it usually connects to

- Practice management software
- Document management systems
- E-signature tools
- Court and research databases

## What drives the cost

Most posts expect one to three months, with a median of $1,500. Part of that gap is built in, because hourly estimates are calculated from expected length. Fixed-price posts state a median of $250, while hourly posts work out at $16,200 on our estimate: 65 times as much. One likely reason is that fixed budgets tend to cover a small first step, while hourly posts describe sustained work.

| Expected length | Median cost | Priced posts |
| --- | --- | --- |
| Under 1 month | Too few posts | 1 |
| 1 to 3 months | $1,500 | 11 |
| 3 to 6 months | Too few posts | 3 |
| Over 6 months | Too few posts | 1 |

| Seniority requested | Median cost | Priced posts |
| --- | --- | --- |
| Entry level | Too few posts | 0 |
| Intermediate | $150 | 5 |
| Expert | $11,200 | 11 |

- How many sources there are and how messy the documents are
- Permissions, which are often harder than the AI
- How accurate answers must be, which sets the testing effort

## Skills and rates

The skills named most often in these posts are Python (55%), Artificial Intelligence (32%), React (27%) and LangChain (23%). Read this as the working stack for this kind of build, and as a checklist when assessing who should do it.

Hourly posts for this work typically offer $28 to $88 an hour, the middle half of posted rates. The median top of the range is $85 an hour across 9 hourly posts. These are rates in the open freelance market: agencies and in-house teams usually cost more.

## Who is buying

64% of posts ask for expert-level talent. A typical post draws about 16 applicants.

## What to check before you commit

- Make sure document permissions carry through to answers
- Build a test set of real questions with known answers
- Decide how new and changed documents get re-indexed

## Frequently asked questions

### How much does search over internal documents for law firms and legal teams cost?

Search over internal documents for law firms and legal teams typically costs about $6,400. Half of the 16 priced job posts we tracked fall between $400 and $18,350, and one in ten reaches $32,400 or more. That is 156% above the $2,500 median across all AI builds we track.

### How long does search over internal documents for law firms and legal teams take?

14% of posts expect the work done in under a month, 64% in one to three months and 22% over a longer stretch. Most posts expect one to three months, with a median of $1,500.

### Why do estimates vary so much?

Fixed-price posts state a median of $250, while hourly posts work out at $16,200 on our estimate: 65 times as much. One likely reason is that fixed budgets tend to cover a small first step, while hourly posts describe sustained work. Scope matters most: how many sources there are and how messy the documents are and permissions, which are often harder than the AI move the price the most.

### What hourly rate should I expect?

Most hourly posts offer $28 to $88 an hour, with a median top rate of $85. Agencies and in-house specialists usually charge more than the open freelance market.

### What skills does this work need?

Posts most often ask for Python, Artificial Intelligence, React and LangChain.

### Do I need an expert?

Posts asking for expert-level talent have a median of $11,200, 75 times the $150 for intermediate talent. 64% of posts ask for experts.

### Does the industry change the price?

For law firms and legal teams, the median of $6,400 is above the $2,150 median for search over internal documents across all industries. Legal builds put confidentiality first. Privileged documents need strict access controls, answers need citations, and a lawyer stays responsible for anything sent to a client or court.

### Where do these numbers come from?

From 16 public job posts published between December 2025 and November 2026: 7 fixed budgets as stated and 9 hourly posts we costed from their rate, expected length and assumed hours. They are what buyers offered, not signed contract prices.

## Source

The AI Build Index. "Search over internal documents for legal: what it costs." Published by VIZIO AI. Updated 2026-11-04. https://aibuildindex.com/cost/document-search-rag-for-legal

Method: https://aibuildindex.com/methodology