Innovation Consulting for Law Firms

Technology, artificial intelligence and automation applied to legal practice.

A B2B line of work for law firms and in-house legal departments that want to adopt artificial intelligence tools without losing control over sources, traceability and professional secrecy. The starting point is never the tool: it is the actual workflow.

Review a workflow


Capabilities

Diagnosis and automation

  • Workflow diagnosis and identification of automatable tasks.
  • Automation of repetitive research and review tasks.
  • Creation of document templates and analysis matrices.

AI-assisted legal research

  • Design of AI-assisted legal research systems.
  • RAG systems over validated legal documentation.
  • Document retrieval and semantic search systems.

Case law and knowledge

  • Classification and normalisation of decisions.
  • Case law analysis matrices.
  • Internal knowledge management and reuse of established positions.

Quality control and governance

  • Systematic verification of citations and sources.
  • OCR and document processing for voluminous files.
  • AI usage protocols: professional secrecy, anonymisation and traceability.
  • Team training and preparation of materials.

Use cases

Generic examples built on public documentation. No confidential company or client information is reproduced.

01

Classification and structuring of large case law repositories

A firm accumulates hundreds of decisions on the same subject with no shared structure: each one is read in full every time the question comes up again.

  • Definition of a schema of legally relevant fields (court, date, question at issue, position taken, outcome).
  • Assisted extraction and normalisation of those fields across the whole corpus.
  • Human review by sampling and correction of the schema before the corpus is treated as valid.

A repository searchable by legal position rather than by free text alone, allowing the applicable line of authority to be located in minutes and divergent decisions to be spotted.

02

Systematic verification of case law citations

Submissions inherit citations from earlier templates. A single mistranscribed, superseded or non-existent reference is enough to undermine the credibility of the whole document.

  • Automatic extraction of every legislative and case law reference in a document.
  • Checking of each reference against the primary source (official gazette, court database, tax tribunal doctrine).
  • A verification report stating the status of each citation: confirmed, corrected, not located or superseded.

A reproducible quality control step before filing, with a record of what was verified and against which source.

03

RAG system over validated legal documentation

General-purpose models answer fluently but without a verifiable source, which makes them unusable for work that must be capable of being cited.

  • Definition of a closed, validated corpus: consolidated legislation, case law and administrative criteria.
  • Indexing with passage-level retrieval and answers necessarily anchored to documents in the corpus.
  • System design so that every statement returns its source passage and the absence of a source is declared as such.

Internal queries answered with verifiable references and an explicit limit: if the corpus does not support it, the system does not assert it.

04

Automation of research matrices

Research on a recurring question is redone from scratch for every matter, and the result depends on who carries it out.

  • Definition of the matrix: questions to be answered, mandatory sources and acceptance criteria.
  • Assisted population of the matrix for each new matter, with empty fields flagged explicitly.
  • Versioning of the matrix so that the position and its evolution are preserved over time.

A consistent, auditable and transferable research method within the team, regardless of who executes it.


Working principles

  • The tool is chosen after understanding the workflow, never before.
  • Every AI-generated output is subject to human verification before it is used.
  • Professional secrecy and data protection: anonymisation of files and control over what information leaves the firm environment.
  • Preference for systems with traceable sources over systems that merely generate text.

Would you like to assess how to bring this kind of workflow into your firm?

Submitting the form does not mean the matter has been accepted.

Review a workflow