Back in June, Legal IT Insider published the third edition of its Gen AI and the Practice of Law report. A few months on, many of the themes it explores feel even more relevant as law firms continue to work through how AI moves from experimentation into everyday legal work.
Written by Neil Cameron and based on more than 35 hours of interviews with legal technology leaders, the report examines how the conversation around generative AI has developed after several years of experimentation and adoption.
Its central theme is governance, and we're pleased to see Autologyx feature prominently in the analysis. In exploring how firms can govern AI across increasingly complex technology environments, the report examines the Autologyx approach to governed orchestration and describes the need for a cross-system "governance spine".
It's a concept that closely reflects the challenges we're seeing in practice as firms look to introduce AI into real legal work while maintaining control, oversight and accountability.
One of the most useful aspects of the report is its treatment of governance as an operational challenge.
It identifies four interconnected areas: strategic governance, process governance, forensic governance and client-driven governance.
Together, they raise some very practical questions for firms. Where does AI sit within a wider process? Who or what is authorised to take an action? Where should human oversight occur? What evidence exists about how an outcome was reached? And can different client requirements be applied consistently across systems and matters?
These are questions we recognise well at Autologyx.
As firms introduce more AI tools, models and increasingly capable agents, maintaining control across the wider technology environment becomes more complex. Governance needs to extend into the processes where the work actually happens.
We're particularly pleased to see the role of Autologyx and governed orchestration explored in some depth in the report.
Earlier this year, Legal IT Insider described the Autologyx approach as providing a structured layer into which AI can be introduced, governed and controlled. The new report develops this thinking further, referring specifically to the "Autologyx argument" for a cross-system governance spine rather than adding another tool to an already complex technology environment.
For us, this gets to the heart of making AI operational.
Legal work rarely takes place within a single application. A process might involve a document management system, an AI model, matter data, business rules, approvals, human review and updates to other systems.
Orchestration provides a way to bring those elements together within a controlled process, with clear permissions, defined checkpoints and an audit trail of the work performed.
This becomes particularly relevant as AI agents begin to take a more active role in workflows. Firms need visibility into what an agent has access to, what it is permitted to do, the context in which it is acting and what happens as a result.
A few months on, the questions raised in the report are becoming increasingly practical. As firms explore MCP and give AI agents greater access to business data and systems, decisions around permissions, oversight and auditability are moving closer to the point where work is actually carried out.
Much of the report reflects the conversations we're having with law firms today.
There is considerable appetite for AI, alongside a growing focus on how successful experimentation can be translated into reliable, repeatable ways of working.
That means thinking carefully about process architecture, data, permissions, human oversight and auditability. It also means creating an environment that can accommodate new models and technologies as they emerge without having to redesign the surrounding controls each time.
We're pleased to see Autologyx feature prominently in the report and, more importantly, to see governed orchestration receiving serious attention as part of the legal AI conversation.
Gen AI and the Practice of Law 3 is over 100 pages and goes considerably deeper into these issues, including the growing influence of clients on AI governance, forensic validation and the changing technology landscape.
For anyone responsible for AI, innovation, knowledge or technology strategy within a law firm, it's well worth the read.
Read the full Gen AI and the Practice of Law 3 report on Legal IT Insider.