AL's primer on MCP as the "USB-C for AI" - a standard that lets AI models plug into data and tools and break the walled-garden model of legal tech. Useful intro for firm leadership and procurement.
UK survey showing 61% of lawyers now use AI but only 17% say it's truly integrated into firm strategy. Cultural resistance and unclear ROI are the main drags.
Argues firms should pursue reinvention, building AI-native practices as autonomous units alongside the legacy firm. Eventually the new model replaces the old, with lawyers still central to the expertise-engineering process.
Eudia Counsel launches under Arizona's ABS regime, combining AI and regulated counsel for M&A diligence. Uses a "Customer Brain" that learns from each engagement - ABS regime opening new structural options.
NYT op-ed on what the muted GPT-5 reception reveals about the wider AI narrative. Useful piece for leadership trying to gauge whether the scaling era is pausing.
Morgan Stanley and A&O Shearman on multi-year AI transformation: infrastructure, domain expertise, human-in-the-loop and a willingness to rewire business models. A&O Shearman specifically called out the shift from hourly to fixed-fee.
VC view from Northzone. No clear winner yet, but workflow integration, trust and deep contextual data are the real differentiators.
Argues generic benchmarks don't capture what "good" looks like for your organisation. Firms need custom evaluation frameworks built from golden datasets and domain expert input.
OpenAI's paper on the training-objective roots of hallucination. Models are rewarded for confident guesses rather than saying "I don't know", which is structural rather than a bug to patch.
Deloitte Legal partners with Legora for AI-led legal transformation programmes, with custom workflows and pre-built solutions on the Legora platform. Big Four legal consulting wrapping itself around a legal AI vendor.
why-language-models-hallucinate.pdf
[Internal AG resource] PDF of the OpenAI hallucination paper. Useful background reading.
PwC - UK Legal Services Market Report 2025 (PDF)
[Internal AG resource] PwC's annual view of the UK legal services market - revenue, profit, headcount, tech spend. Solid benchmarking data for firm-level conversations.
Working with AI - Measuring Impact of AI (PDF)
[Internal AG resource] Framework for measuring AI impact in a legal business. Useful for setting up internal KPIs beyond "seat count."
The Contract Intelligence Index Report (PDF)
[Internal AG resource] Report on the state of contract intelligence tools and adoption. Useful reference for contract AI procurement and benchmarking.
Case study breaking down Harvey's trust stack (custom legal models, 0.2% hallucination rate, case law verification), its "Minimum Viable Trust" GTM with flagship firms, and the LexisNexis / Microsoft ecosystem plays.
Nature commentary on recent AI research developments. Useful signal for what's landing in the scientific community vs the hype cycle.
NYU Stern MBA / Microsoft experiment in building AI-agent-native startups from day one. Early read on what "Frontier Firm" organisational models look like.
Marcus argues that without a further step-change in demand, OpenAI's route to $200bn revenue by 2030 looks shaky. Weak ROI stories and underwhelming releases make the compute bill hard to justify.
Explains why LLMs can give different answers to the same prompt (numerical precision, execution order) and proposes batch-invariant kernels to make output deterministic. Matters for evals, testing, and any regulated legal deployment.
Paul Walker (iManage) on MCP as "act two" of legal AI. Lets agents retrieve, reason and act across legal systems while respecting existing security and permissions - no more brittle custom connectors.
PM launches Portana, a client-facing DD dashboard with real-time collaboration and findings sorted by area of law, issue type or remedy. Another firm productising its DD output.
Juro (CLM) and Wordsmith (agent workspace) integrate via MCP. Clients of both platforms get cross-functionality - early example of how MCP can stitch vendor ecosystems together.