Research, drafting, contract analysis — your firm, augmented.

The problem

A firm accumulates documents faster than it can re-read them. Case files, case law, contracts, pleadings, correspondence — the useful knowledge is there, but it is buried. And every minute spent finding it is one more non-billable minute.

• The documentary volume is massive — years of case files, case law, contracts and pleadings, in folder trees no one fully masters.
• Legal research is time-consuming — finding the right precedent, the right clause, the right argument takes hours the client will never pay for.
• Client call handling saturates fee earners — qualifying a call, directing a prospect, taking a message: interruptions that fragment deep work.
• Confidentiality tolerates no slip — professional privilege is absolute, and no tool may leak a single document.
• Non-billable time piles up — research, filing, intake tasks: the invisible work that eats into the firm's margin.

What BeLogic brings

We don't replace the lawyer: we make their raw material instantly workable, and take away the tasks that pull them off the file. All on a sovereign legal AI engine, hosted in the EU and specialised in law — your documents never leave your perimeter and never train any third-party model.

• Legal research & case files — query your entire case base, your case law and your contracts in natural language. Every answer is sourced, with a direct link to the exact document and paragraph.
• Assisted drafting of pleadings & letters — a first draft of pleadings, letters or draft deeds, generated from your templates and the file's documents, in the firm's style — to review and sign, never to rewrite from scratch.
• Contract review & analysis — extract key clauses, flag risks and missing provisions, compare two versions in seconds rather than over an evening.
• Call handling & screening — a voice agent that greets, qualifies and summarises client calls, without fragmenting deep work.

All framed by strict governance — confidentiality, professional privilege, audit logs — and, if you'd rather scope before deploying, a 10-day AI Blueprint.

A concrete scenario

A firm deploys the legal AI across all its case files, a body of case law and its template library.

• A lawyer queries the entire case base and the relevant case law in natural language — the way they would ask a senior colleague — and gets sourced answers, verifiable down to the document.
• For a new matter, they request a draft set of pleadings: the AI assembles a first draft from the file's documents and the firm's templates, which they only have to refine.
• On an incoming contract, they get the sensitive clauses, the missing provisions and the gaps against their reference version in seconds.
• In the background, call handling filters and qualifies calls and hands each lawyer a clean summary of what concerns them.

The result: research drops from half a day to a few minutes, drafting starts already halfway, and the phone stops cutting concentration into pieces.

Confidentiality & sovereignty

A law firm can only trust its case files to a tool that is beyond reproach on data. For us, that's the starting point, not an option.

• EU hosting by default — Belgium, France or Germany depending on your choice.
• Professional privilege respected — your documents stay your documents; no exit from the EU, no exposure beyond the firm's perimeter.
• Inherited permissions from your existing systems — each person accesses only the files that concern them.
• No training of third-party models on your data.
• Audit logs on every query: who asked what, when, and against which source.

Where to start

Two entry points, depending on your maturity and how fast you want to move.

• A 10-day AI Blueprint — to scope it cleanly: where non-billable time costs the most, which perimeter of files, which success metrics.
• A legal-AI pilot on a perimeter of files — if the use case is already clear, we deploy research, drafting or contract analysis on a selection of files and measure against the real thing.

Either way, we start from your files and your constraints — not from a theoretical model.