Law
Practice management systems for law firms, and the AI around them: matter workflows, document analysis, legal research, information extraction, and knowledge management.
Practice management, implemented.
Alitas implements practice management systems for legal organisations, then designs the AI and workflows a firm runs on top of them.
Work with usThe system the legal practice runs on.
Implementation covers the practice management system itself: installation, data, matter workflows, and the point where AI and analysis connect to the work already in the firm.
From the first question through installation. The same practice can advise, build, migrate, and deploy.
01AI consultingStrategic guidance for organisations evaluating, adopting, and operationalising AI.02AI developmentCustom AI systems designed around specific operational requirements.03Installation and deploymentImplementation of AI infrastructure and systems within controlled environments.04AI migrationMigration of existing AI, data, and automation environments into modern architectures.05Custom AI analysisPurpose-built analytical systems for complex information and investigative workflows.06Intelligence analysisTransforming fragmented information into structured intelligence for decision-making.07Integration and automationConnecting AI systems with existing technology, data, and operational workflows.08Law and security technologyTechnology consulting designed around legal, security, risk, and intelligence environments.
Law first.
Legal practice is the centre of the work. Security is the second domain.
Security
AI systems for security operations, information analysis, intelligence, risk assessment, investigative workflows, and operational decision support.
Instruction to file.
A legal matter moves through the practice system. Each stage stays on the file a practitioner can review.
Instruction
The matter opens with an instruction: the question, the parties, and the documents the firm already holds.
Matter
That instruction becomes a file in the practice management system, with a status, an owner, and a boundary around who can see it.
Documents
Correspondence, contracts, and records are brought onto the file and given a consistent structure.
Review
The system reads and organises that material so a practitioner can check the passages that matter.
Advice
The output is something a lawyer can assess: a structured note, still tied to the documents it came from.
File
The advice, the mark-up, or the next step goes back onto the matter. Judgement stays with the practitioner.
The full path.
Alitas can work across the life of a system, from the problem through the installation and what comes after it.
Strategy
Understand the problem.
Design
Architect the system.
Develop
Build the technology.
Migrate
Move existing systems and data.
Install
Deploy into the required environment.
Integrate
Connect existing systems and workflows.
Analyse
Build custom intelligence and analytical capabilities.
Evolve
Continuously improve the system.
Project structures.
These are illustrative structures for future case studies. They are not client engagements and they do not describe outcomes.
Legal intelligence platform
An analysis environment designed to structure and examine large volumes of legal information.
Security intelligence system
Analytical infrastructure designed to turn fragmented information into structured intelligence.
Problem first.
Every engagement starts by understanding the operational problem, rather than choosing a technology and looking for a use.
Understand
Start from the operational problem. The technology follows the work, not the other way around.
Architect
Define the system, its boundaries, and the path information takes through it.
Build
Develop the models, services, and interfaces the operation requires.
Deploy
Install the system into the environment where it has to run.
Analyse
Shape outputs that people can review, question, and use.
Evolve
Adjust the system as the work, the sources, and the questions change.
Built to be examined.
Discretion and technical control are part of the work. The points below describe design principles. They are not certifications or accreditations.
Security
Systems are designed for controlled environments, with access limited to what the work requires.
Privacy
Information stays tied to an operational purpose and is handled with discretion.
Control
The organisation keeps authority over its systems, its data, and how outputs are used.
Auditability
Processes are structured so actions and outputs can be reviewed.
Integration
New systems connect to existing tools and workflows rather than sitting beside them.
Reliability
Deployments are built to operate as part of daily work.
Notes.
Editorial placeholders on AI, law, security, and the systems between them.
What an AI system owes a legal workflow
A system used on legal material has to show its sources, leave room for review, and stay inside the matter it was given.
Analysis inside a controlled environment
Security work needs systems that can be limited, reviewed, and placed inside an operating rhythm that already exists.
From a pile of records to something you can assess
Intelligence, in practice, is structured information with its sources still attached.
Build the intelligence system.
Talk to us about an AI, intelligence, or automation challenge.
Work with us