The AI landscape doesn't move in one direction — it lurches. Some techniques leap from experiment to table stakes in a single quarter; others stall against regulatory walls, technical ceilings, or organisational inertia that no amount of hype can dislodge. Knowing which is which is the hard part. The State of Play cuts through the noise with a rigorously maintained index of AI techniques across every major business domain — classified by maturity, evidenced by real-world adoption, and updated daily so you always know where you stand relative to the field. Stop guessing. Start knowing.
A daily newsletter distilling the past two weeks of movement in a domain or two — delivered to your inbox while the index updates in the background.
Each dot marks the weighted maturity of practices within a domain — hover for a brief summary, click for more detail
AI for managing contracts, regulation, governance, and organisational risk. Contract review and e-discovery are good practice with proven ROI; regulatory monitoring and due diligence are advancing steadily. Most of the domain sits at leading-edge — adoption is constrained by liability concerns and the need for domain-expert validation rather than by tooling gaps.
The headline: Nearly every legal team is now using AI, but the easy adoption phase is over — the next round of gains (and the next wave of liability) goes to the firms that build governance around the tools.
Most general counsel and large law firms have legal AI in place — adoption sits at roughly eight or nine in ten depending on which slice you measure. The technology works: contract review hits 98% accuracy in production, and document discovery is 50–70% faster. But adoption has plateaued. Law firm uptake stalled at 79% this year after a big jump the year before, and more than half of corporate AI investments still show no measurable return. The differentiator is no longer whether you use AI but whether you have the governance, change management, and workflow design to get value from it. Teams with structured rollouts cut cycle times by 20–60%; the rest plateau and quietly accumulate compliance debt.
Contract review crossed from "promising" to "proven." Multiple independent deployments now show contract clause extraction running at 94–98% accuracy across hundreds of documents over many months, and general counsel adoption nearly doubled year-over-year. If you're still piloting contract AI, the evidence base for moving to production is now there.
The legal AI adoption boom has flattened. Law firm AI use held at 79% this year, and use of legal-specific tools actually fell as lawyers default to general-purpose chatbots. The firms that will pull ahead from here are the ones investing in workflow redesign and training, not those buying more tools.
Three-quarters of daily AI users are anxious about losing their jobs. A survey of 544 legal professionals across eight countries found that 76% of daily AI users worry about being displaced within five years — even though 93% say AI is making them more productive. If your rollout doesn't include a clear story about how AI augments lawyers rather than replaces them, you're creating a retention risk while you boost productivity.
The EU's AI rules for legal tools slipped to 2027–2028. The delay is procedural — the technical standards and trained assessors aren't ready — and it buys time, but not a reprieve. 78% of large companies are still unprepared and 83% can't produce a basic list of the AI systems they're running. Use the extra runway; don't bank it.
US financial regulators put AI on the compliance map. FINRA — the self-regulator for US broker-dealers — formalized rules requiring audit trails and a human decision-maker for any AI used in compliance work. Financial-services firms running AI without a governance framework now have explicit regulatory exposure, not just theoretical risk.
EU compliance prep takes 8–14 months, and the clock is running. Even with the enforcement slip, organizations starting AI compliance work now will barely make a 2027 deadline. The "high-risk" category sweeps in litigation prediction tools and autonomous compliance monitoring. If you use either, start scoping conformity assessments immediately.
Courts are moving liability for AI mistakes from the user to the vendor. Judges are starting to ask whether legal AI tools are "architecturally sufficient" for work that needs verified citations — meaning a sanctioned lawyer can point upstream. One major firm hit 40 fabricated citations in a single matter despite formal controls. Check whether your AI vendors carry meaningful indemnification, because policy and training alone are no longer a defense.
Companies with formal AI roadmaps grow revenue nearly 2x faster. Only 53% of legal departments have an AI roadmap, up from 25% a year ago — meaning the window to be early is closing fast. Multiple consulting firms are now seeing the gap between governance-led adopters and everyone else widen each quarter. If you don't have a roadmap on paper, that's the highest-leverage thing to fix this quarter.
Governance hasn't kept pace with adoption — and the gap is structural. Adoption is at 70–89%; formal governance frameworks cover 7%. AI incidents jumped 55% year-over-year, and only one in five firms has mature controls for AI agents — software that acts on its own without being prompted. Time alone won't close this gap; it requires deliberate investment.
The billable-hour model is splitting the legal market in two. In-house teams are at 87% AI adoption versus 46% for law firms, and 64% of in-house teams are cutting outside counsel spend. More than half of matters now bill on fixed fees. Mid-market firms without capital to invest in AI face accelerating revenue exposure.
Anxious users are a hidden ROI killer. 76% of daily users fear displacement, and 95% of organizations have no communication strategy explaining how AI changes their roles. The teams that ship AI fastest are also the most likely to lose their best people if they don't address this — fix it before it becomes attrition, not after.
Go deeper: the full Legal, Compliance & Risk briefing — the longer analytical write-up, plus every practice we track in this domain with its maturity rating, the tools to consider, and the evidence behind our assessment.