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News
The Chancery Lane Project secures US$650,000 to build a tool that benchmarks contracts against climate laws and standards
The funding will enable TCLP to build a benchmarking tool. Lawyers will be able to check how their contract wording measures up against relevant laws, regulations, standards and frameworks. TCLP will also develop new model clauses to reduce the environmen
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Are you a civil society organisation looking to turn your expertise into practical legal resources?
Civil society organisations (charities, research institutes, advocacy groups and environmental organisations) hold evidence, networks and trust. They have the potential to translate their expertise into the terms of a commercial contract, but often lack t
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The future of legal knowledge is inside the tools lawyers use
As AI becomes part of everyday legal work, the next challenge is not just what AI can generate, but how professionals access and apply trusted legal knowledge. From searching for knowledge to asking for it For decades, legal professionals have worked with
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How we're experimenting with AI to benchmark climate ambition in contracts
This is the second in a series on what we learned while building and testing AI tools for climate-aligned contracting. Read blog 1 here. Contracts can turn climate commitments into concrete obligations, but climate ambitions are not always reflected in en
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How our model clauses became part of the UK government's standard services contract
We've seen our climate clauses move from our free clause library into government procurement policy, and then into the UK government's own Model Services Contract. This means they are now part of the machinery through which public money can drive emission
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The Chancery Lane Project opens its climate legal knowledge to AI with new API and Model Context Protocol
New AI-ready infrastructure gives legal technology companies, developers and AI assistants direct access to TCLP's climate contracting expertise, enabling richer legal research, drafting and workflow automation. London, UK. 14 July 2026: The Chancery Lane
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Climate law meets AI: what we set out to do and why it matters now
At The Chancery Lane Project (TCLP), we are actively responding to a rapidly changing landscape. AI agents, LLMs and new tools are emerging at pace, and as a small nonprofit we are working to keep up, adapt and shape our role within it. Our London Climate
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Climate literacy is a core legal competency
The realities of adapting to climate change are no longer abstract or distant. They are increasingly playing out in our day-to-day lives, reshaping industries, business models and the way organisations think about risk. For many professionals, this means
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How The Chancery Lane Project supported the International Bar Association's (IBA) Nature-Intelligent Legal Services series
In February 2026, the International Bar Association launched its Nature-Intelligent Legal Services series - a major new framework exploring how legal professionals can integrate nature-related risk into commercial legal practice. The International Bar Ass
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The Chancery Lane Project collaborates with WRAP to tackle supply chain food waste
Updated Runa's Clause provides businesses with a practical legal tool to measure, reduce, and report food waste across supply chains. Developed in collaboration with WRAP, the clause aligns with recognised frameworks and best practices for food waste redu
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Tech stack
Technologies named in job postings at The Chancery Lane Project over the last 12 months, by layer, with the share of postings for each.
Technologies in use
6
Postings analysed
1
Stack modernity
81/100
Frameworks & libraries
LangChain
LangGraph
Developer tools
Model Context Protocol
Practices & domains
AI Agents
Knowledge Graph
Machine Learning
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Growth
Hiring Momentum
28/100
Slowing
Open positions
1
0 opened / 0 closed in 30 days
Hiring Focus
The percentage next to each role is its share of the company's job openings over the last 90 days; the arrow shows the shift versus the previous period.
Product
100% ▲
Jobs
≈ $71k – $160k per year (Estimated) · Remote (United Kingdom) · Full-Time · United Kingdom
LangGraph
LangChain
Model Context Protocol
AI Agents
Knowledge Graph
Machine Learning
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