AI systems for law firms

AI grounded in your firm’s data and context.

We prepare context for a defined AI task: matter documents, previous decisions, current templates and workflow rules. We connect sources, respect permissions and flag gaps, then design analysis, answers and proposed next steps.

Discuss an AI deployment Explore the scope

An initial conversation without obligation. Scope and cost agreed before work begins.

Your firm

When your team needs better access to information

Scattered knowledge

Templates and past analyses are held in multiple places. Your team needs to find sources and verify their relevance.

Repeated document reviews

Lawyers look for similar information or compare provisions. You want support for initial review while retaining professional judgement.

An off-the-shelf tool falls short

You need specific sources, matter permissions, integrations or a different processing arrangement.

Service scope

From finding information to preparing an action.

For each use case, we establish the required data, current sources and how to recognise insufficient information. Matter context is prepared within the user’s access permissions.

Knowledge in the context of a matter

Search documents, templates and previous analyses with source references. Results respect the selected matter, document version and user permissions.

Document and event analysis

Extract information, compare clauses and prepare draft chronologies. We define how to flag gaps, contradictions and points requiring legal review.

Draft documents and actions

Prepare a draft response, form data or suggested task. Agreed approval rules apply before saving, sending or updating a status.

Connected team tools

Deliver AI features within a portal, matter workflow or Word add-in. Source access, activity records and cost controls form part of the project.

The deliverables

Know what you are receiving.

A defined use case, source set and quality criteria
A working pilot with agreed permissions
Test results, limitations and improvement items
Guidance on usage, source updates and cost monitoring

How we check the result

We check answers, references and denied access to restricted matters. Tests also cover missing data, source changes, rejected proposals and actions requiring approval. Pilot results inform the deployment decision and further scope.

Selecting the approach and agreeing scope

AI can omit information or produce incorrect answers. We design review steps and situations requiring a human decision. We do not promise error-free analysis or autonomous handling of legal matters.

See our work and approach

Our approach to AI acceptance

Our acceptance standard describes test scenarios, expected behaviour and evidence to record. It is a methodology for use in a project, not a certification or a claim that a system has passed.

Read the AI acceptance standard (Polish)

How we work

From the first conversation to the agreed result.

Select the task
Define the intended output and how your team will judge it.
Review tools and data
Check source quality, provider terms, access and likely operating costs.
Run a pilot
Build a limited scope and assess outputs with designated users.
Launch with oversight
Agree usage rules, source updates and evaluation after model or data changes.

Budget and billing

Separate build costs from operating costs

Pricing depends on the use case, document preparation, integrations and data controls. A pilot can have its own scope and budget before a broader rollout.

Built around legal work

Confidentiality shapes how we work.

Before providing data, we check training terms, retention, processing locations and subprocessors for the selected service and configuration. We agree which materials may be connected. A private model or EU region alone does not replace permission controls and testing.

FAQ

Before we get started

Do we need custom AI?

Not always. We assess existing products and configuration options first. Custom development is useful when sources, integrations or controls require it.

Will documents be used for model training?

We verify the specific service terms, plan and configuration before selection. Permitted processing, retention and restrictions are agreed for the project.

Can a model run on our infrastructure?

We can assess that option against hardware needs, output quality and ongoing costs. It is compared with other suitable approaches.

Who evaluates answers?

LegalByte tests technical behaviour. Designated lawyers assess substantive correctness and usefulness against agreed scenarios.

Do you maintain the system?

We can provide monitoring, source updates, model-change evaluation and support under a separately agreed scope.

Contact

Start with a conversation

Describe one task, the types of documents and the number of users. Do not send case files or client data in the initial enquiry.

Working hours

Monday – Friday, 9:00 – 18:00 (CET)

Working across jurisdictions

We support clients in cross-border projects, in Polish and in English.

Get in touch with us

You do not need a specification. Tell us what you need help with.