The injustice
An unbalanced decision
The problem begins when technology shapes a decision about rights without sufficient safeguards, introduces bias or turns an operational inefficiency into a genuine disadvantage for one side.
Law · Technology · Equality of arms
When an algorithm, an automated process or an opaque system enters a decision about rights, efficiency cannot excuse bias, inequality or the loss of a meaningful defence. My work is to identify those points of failure and build legal arguments, controls and tools that restore balance and accountability to the decision.
Academic profile and publications on ORCID ↗Carlos Ibáñez Sánchez — lawyer, founder and researcher in law and technology.
2011I began with complex interests in Public Law and planning.
2013I turned a legal inefficiency into my first Legal Tech product.
TodayI research how automation affects rights, safeguards and accountability.

01 / The issue
I am interested in complex cases in which a person, company or institution faces a system that decides, classifies, recommends or automates without offering the same ability to understand, contest or defend against its outcome.
The injustice
The problem begins when technology shapes a decision about rights without sufficient safeguards, introduces bias or turns an operational inefficiency into a genuine disadvantage for one side.
The asymmetry
One side understands the system, controls the data or has technical capacity; the other receives only an outcome. That gap can weaken defence rights, adversarial scrutiny and the ability to demand an explanation.
The work
Investigate how the process works, locate the point of failure and combine legal reasoning, technical evidence and oversight mechanisms to restore balance and accountability.
This is not an argument against technology. It is an argument against allowing its use to reduce safeguards, conceal responsibility or turn bias into an apparently neutral decision.
02 / Casibus Perplexis
Casibus Perplexis exists to identify, study and take on complex cases in which artificial intelligence, scoring, automation, analytics or opaque systems intervene in decisions about rights. Its purpose is to expose inequality, reconstruct the decision process and develop legal, technical and institutional responses that restore equality of arms.
03 / Work
From planning law and real-estate restructuring to legal software and artificial intelligence, I have worked on the same underlying problem: what happens when the person defending a right does not have the same information, technical capacity or power as the person or system making the decision.
04 / Path
Advised public bodies, developers and corporate clients on planning and land-use law, regulatory compliance and transactions affected by the real-estate crisis.
A boutique firm specialising in planning and commercial law, with particular expertise in real-estate debt restructuring, preventive negotiation and orderly wind-downs.
The company operated both as the firm’s vehicle and as a technology laboratory. It produced Lexpire, a judicial and administrative deadline calculator used by more than 10,000 people and later acquired by vLex.
Leading a legal software company behind Legal3, Lexpire, Legal Data and Legal Gov, covering practice management, case-law analytics, public-sector workflow automation and judicial-platform integrations.
Founded and led an AI company for legal and administrative documents: automated extraction, process automation, neural networks, RAG and agent architectures.
PhD researcher in Law and AI; advisor and AI Area Lead on the Global Legal Tech Hub Advisory Board; mentor at Fusión Startup.
Legal and strategic advice, project management, business development and cross-border operations focused on technology, AI, market expansion and the Spain–Poland corridor.
Developing governance infrastructure for AI agents and an applied research programme on cases in which automation, opacity or technological bias may affect rights and procedural safeguards.
05 / Writing
Documented human oversight, integrated traceability and control of AI-assisted judicial decisions. Working paper deposited on SSRN.
Book chapter on autonomy in AI legal reasoning, risk and a framework for implementing the AI judge, published in Código humano.
Why AESIA will have to decide case by case. Published in Revista de Derecho Digital La Ley.
A chapter on entrepreneurship and the development of Legal Tech products, published by Aula Magna–McGraw Hill.
06 / Academia and network
07 / Contact
I analyse cases, systems and projects in which artificial intelligence or automation enters consequential decisions and may create bias, opacity, inequality or an inability to mount an effective defence.