AI tools and automation, built specifically for your law firm.
Every firm has its own way of working, its own systems, and knowledge built up over years. Yogev Tuval, a jurist, software developer, and the founder of CaseFlow, builds tools that connect to your existing systems, run under your firm's control, and prove themselves in measured results.
A 30-minute introductory call. No commitment.

Yogev Tuval
Jurist and software developer · Founder of CaseFlow
Yogev Tuval is a jurist and former attorney. He holds an LL.B. and an LL.M. in international law, both with honors, and began his career in litigation. His academic work has been published in, among others, the Journal of International Criminal Justice and by the Israel Democracy Institute.
He has been developing software since 2014 and has held management roles at technology and advertising companies, working closely with executives, product teams, and engineering teams.
Yogev founded CaseFlow, an AI Native practice-management system for law firms, and built it himself from the ground up. It brings all of a firm's work into one place, encrypted on the firm's own computer, and every action in it is taken with a lawyer's approval. Law firms work with it today in Hebrew, English, and Arabic.
The advantage for your firm: the person who understands the legal need is the person who builds the tool.
LinkedIn profile→The legal need and the tool, in the same hands
Yogev specifies and builds every tool himself, and knows legal work from the inside: deadlines, confidentiality, conflicts, fees. The legal need goes straight to the person who builds the tool.
Your data stays with you
The tools run in the firm's environment, on the firm's accounts, and only within existing permissions.
A lawyer approves every step
The tool gathers, prepares, and drafts, and the decision stays with you: anything sent to a client, a court, or a third party goes out only with a lawyer's approval.
AI tools for law firms: what can be built
A few examples. The tools for your firm are chosen together with you, after a needs assessment.
The firm brain
Ask in plain language and get an answer drawn from the firm's own documents, with a reference to the source. Each user sees only what they are permitted to see.
Contract review against the firm's playbook
The tool compares a draft with the practice group's standard language and positions and flags deviations. The lawyer decides what to do with them.
Matter summary and client update
A draft update built from the matter file, in the firm's voice. Sent only after approval.
Time report in the client's language
A clear, reasoned time narrative built from timesheets, so invoices go out sooner and come back with fewer questions.
Hearing preparation
Pleadings, decisions, and deadlines for the matter gathered into one preparation document, with a reference to every source.
Management dashboards
A current picture of matters, workload, billing, and collection, pulled directly from the firm's systems.
Automation of repetitive work
Client intake, matter opening, document generation from templates, reminders, and deadline tracking. Less manual typing, more accuracy.
Connection to existing systems
Including legacy software and older databases. Tools are built on top of what you have, and the systems that work stay in place.
More from the tools you already bought
Configuration, training, and a connecting layer, so the AI tools already in the firm know your knowledge and your way of working.
How it works
Bringing AI into a law firm, in six steps. The pace is set together with the firm.
- 1
Introductory call
Thirty minutes on video with Yogev: what occupies the firm, which systems are in place, and what has already been tried. No commitment.
- 2
Discovery
Working sessions with partners and staff to see where the time goes. The output: a ranked list of opportunities, with an estimated benefit for each.
- 3
Selection
Every idea is reviewed against the duty of confidentiality, the firm's permissions, and the ethics rules, then ranked by its value and ease of building. The firm decides where to start.
- 4
Specification and success measure
We agree in advance on what the tool does, where the lawyer approves, and how success will be measured. The success measure is set in advance, before the build begins.
- 5
Build and pilot
The tool is built and tested with a small group, on real work, against a measured baseline. Only a tool that meets the agreed measure moves on to rollout.
- 6
Rollout and ongoing support
Training, expansion to the rest of the firm, and ongoing maintenance, including continuous tracking of new tools and models and adoption of what fits.
Three fixed principles
- 1
The firm's data stays under the firm's control, in every tool and at every stage.
- 2
Every action toward a client, a court, or a third party goes out only with a lawyer's approval.
- 3
Everything is measured: success is assessed precisely, against clear measures set in advance.
Where does the data live, and who controls it?
- Accounts, keys, and data belong to the firm, and stay with the firm when the engagement ends.
- Tools operate within the firm's permissions: each user gets answers only from the matters they are permitted to see.
- Every model call and every tool action is logged, with identity and time.
- Every tool has a single off switch, held by the firm.
The Israel Bar Association's National Ethics Committee has published an opinion on the use of AI in lawyers' work. The tools are designed so that professional responsibility and human review remain with the lawyer.
Precise measurement, from day one
Before a tool goes into use, the baseline is measured. Then it is measured again, from the firm's own systems: hours, billing, actual usage. Success is reported only on the basis of measurement.
The goal: more matters with the same team, more hours that reach the invoice, faster collection.
of professional-services organizations measure the return on their AI tools.
Thomson Reuters Institute, 2026 AI in Professional Services ReportWho it is for
Small and midsize firms
Automation of repetitive work, plus one or two tools that return hours to legal work.
Large firms
An annual program: discovery by practice group, measured pilots, gradual rollout, and a single layer that connects the tools already purchased to the firm's knowledge.
Also for firms on other systems
Tools are built around the systems that already work for you, with or without CaseFlow.
The proof: CaseFlow
CaseFlow is a complete practice-management system for law firms: matters, documents, billing, legal research, and a built-in assistant, encrypted on the firm's own computer. Yogev designed and built it himself. The same knowledge, and the same working rules, stand behind every tool built for your firm.
See the system→Frequently asked questions
How is a custom tool different from off-the-shelf legal AI software?
Off-the-shelf software gives every firm the same thing. A custom tool is built around your documents, your standard language, your systems, and your way of working, and connects to the software you already bought.
Do we need to replace existing systems?
The tools connect to what you have: document management, email, accounting, and legacy software as well.
Where is client data kept?
The tools run in the firm's environment and accounts, within its permissions. Model providers are chosen together with you, on terms that fit the duty of confidentiality.
We already bought AI tools. Is this still relevant?
Yes. In most cases the work starts with getting full value from what was already purchased, and building only what is missing.
How long does it take?
It depends on the tool. The pace is set with the firm, and the first tool is chosen so that its benefit is clear and measurable.
What does it cost?
After discovery you receive a written proposal with scope, timeline, and price. The introductory call is free.
Who is responsible for the legal output?
The lawyer. The tools prepare drafts and findings; review and decision stay with you.
Your firm. Your tools.
Thirty minutes on video with Yogev to understand what can be built for you.