Facts are friends
Knowledge
AI directly weakens the knowledge monopoly that firms have traditionally sold.
Credential
Regulation and accountability remain valuable, though technology changes how clients access services.
Judgement
Human responsibility, relationships and advocacy remain the ground on which durable value is built.
1. Why this page exists
1.1.I have spent four decades advising businesses through corporate finance, venture capital and complex transactions, most recently as a consultant solicitor and as founder of L5 Executive Services. I have no product to sell here. What follows is my analysis of what artificial intelligence means for firms, in-house teams and individual lawyers.
1.2.The comfortable version says AI expands demand for legal talent and everyone benefits proportionately. The panic version says the profession simply disappears. Both overlook the structural shift now under way.
2. The three foundations, and which ones are moving
2.1.A law firm has historically rested on three things: a near-monopoly on knowledge, credentialling and judgement. The first made legal information scarce. The second made the regulated professional a guarantee and a source of accountability. The third covers advocacy, relational intelligence and practical wisdom about people and situations.
2.2.Artificial intelligence challenges the first foundation directly. It changes the second in part. Judgement remains central, though it will need to be made visible and valued rather than assumed. This is an interpretation, not a forecast presented as fact.
3. What is already under way
3.1.Kirkland & Ellis announced a proprietary AI-powered private-equity fundraising platform with Palantir in June 2026. Kirkland says the platform is designed to structure and apply institutional knowledge, workflows and judgement across the fund-formation lifecycle.1
3.2.Later that month Kirkland announced a multiyear litigation-AI partnership with Syllo, including rights to develop proprietary solutions and knowledge infrastructure around the platform.2 The deal matters because it places a large firm’s distinctive know-how closer to an operational system.
3.3.Legora and Ironclad announced an integration intended to connect legal analysis and research with contract intelligence and workflows for in-house teams.3 That example points toward legal technology moving nearer to the client’s operating systems.
3.4.Garfield’s SRA authorisation in 2025 marked a significant access-to-justice development in the use of AI-assisted legal services for small debt claims.4 The wider implications still need careful scrutiny.
4. The uncomfortable part
4.1.The usual assumption is that displacement starts at the bottom and works upward slowly. I think that picture is incomplete. Expensive work becomes exposed when an AI-assisted process can deliver a sufficiently reliable result at a materially lower cost.
4.2.The AI does not need to be perfect. It needs to offer better value than the human alternative for a defined task. People whose professional identity depends most heavily on the old knowledge monopoly may therefore face greater exposure than they expect.
5. What I think this means for firms and individuals
5.1.For firms, defensible ground lies in judgement, relationship and accountability. Firms funding systems that encode their own workflows should ask who owns that encoding, how it can be reused and what clients will be able to access directly over time.
5.2.For individuals, foundational understanding of how a field works matters more as tools become easier to use. Depth outlasts the current interface.
6. Where to take this further
6.1.This analysis continues in the #TrojanHorseDebate series and in longer form on Substack under #FactsAreFriends.
6.2.If you are thinking through LLM strategy, ethics or the economics of algorithmic disruption in professional services, I am glad to have that conversation directly.