Custom tags: Build a matter categorization system in Anywhere that matches your internal processes

Why a custom matter categorization system is key in modern legal operations

From "files" to managed "matters" in legal and tax departments

The modern concept of matter management is based on the idea that every legal case, project, transaction, or dispute represents a separate "matter" that must be tracked, structured, budgeted, and evaluated from beginning to end. In practice, this means it is no longer just about a physical or digital folder with documents, but a live object in a system, to which a budget, milestones, roles, tasks, communication, and metrics are attached. Each matter has its phases, priorities, internal requesters, external advisors, and varying levels of risk – and without good categorization, it is difficult to navigate this complexity.

For in-house teams, a "matter" is often broadly defined as anything the legal department needs to address – from a quick contract review to a multi-year regulatory proceeding. If such a workload is not systematically categorized, it is hard to justify resource needs, plan budgets, explain prioritization to management, and identify bottlenecks in workflows. In large companies, it is common for different lawyers to use varying terminology, Excel spreadsheets, personal folders, or emails as a "database" – resulting in fragmentation and a loss of overview.

This is precisely where the concept of custom tags and matter categorization comes into play. Instead of rigid, top-down categories, custom tags allow the structure of records to be tailored to how the company actually operates: by business lines, transaction types, jurisdictions, internal stakeholders, or even risk levels. What matters is not just "what matters do we have," but "how can we report on them, filter them, assign them, and evaluate them" – and this is impossible without a good model of categories and tags.

Anywhere.legal, in this logic, is not just a case directory, but an environment where cross-border legal or tax matters can be opened, documents uploaded, AI used to structure assignments, and tags set up to match the client's internal processes. This makes it possible to work with a unified data structure across countries, law firms, and internal teams while respecting the specifics of a given business.

Why standard folders and file names are not enough

Many companies initially believe they already have a "system" – in the form of shared drive folders, email labels, or simple case names. Experience shows that such ad-hoc structures quickly fail as the volume of work, number of countries, and people involved grow. Without clear rules for file names, folders, or metadata, the same type of matter is often labeled differently, documents are stored in "personal" locations, and the retrievability of crucial documents dramatically deteriorates.

Expert materials on file management have long warned that typical errors include inconsistent naming, storing files in various locations, missing version control, and insufficient use of metadata. In the legal environment, this issue is compounded by the fact that a single matter often involves hundreds of documents, versions, consultations, and notes over months or years. Without a standardized system of categories and tags, this leads to wasted time, the risk of errors, and increased burden during audits or due diligence.

In systems designed for lawyers, a combination of centralized storage, intelligent search, and advanced metadata management is increasingly prevalent: documents are stored with their respective matters, tagged with a structure of labels (client, matter type, jurisdiction, phase, risk level), and can be used to build reporting or knowledge bases. Anywhere.legal builds on this logic and adds the dimension of cross-border collaboration and AI assistance – not as a "magic button," but as a practical tool to transform chaos into a consistent structure that reflects the company's real-world operations.

What custom tags are and how modern matter categorization works

From "label" to multi-dimensional metadata structure

At first glance, a "tag" seems like a simple concept: I add a single word or short phrase to a matter or document, which I can then easily search for later. In modern legal and tax systems, however, tags are part of a broader metadata architecture, where free-form tags, structured fields, and standardized taxonomies intertwine. The fundamental difference from traditional folders is that a matter can be marked with several dimensions simultaneously, without being "trapped" in a single directory. This allows for creating views "by jurisdiction," "by business unit," "by dispute type," or "by risk level" without duplicating data.

Current tools use tags not only for searching but also for workflow automation. A typical example is systems where tags at the matter or contact level trigger specific automations or serve as filters in reports and target groups. Practically, this means if a matter is tagged "M&A – cross-border," it can automatically enter a pipeline, be assigned to a specific team, trigger document templates, and alert key deadlines. It is precisely the ability to combine the "content" meaning of tags with process logic that transforms matter categorization into a tool for genuine legal operations management, not just for better retrievability.

In the Anywhere.legal environment, custom tags play a similar role: they help indicate the type of cross-border agenda (e.g., "permanent employee relocation," "international distribution," "EU VAT"), the jurisdictions involved (e.g., "CZ," "DE," "US"), the matter's current phase, and the internally responsible party. In combination with AI, which can suggest appropriate categories from documents and case descriptions, a structured foundation for further work, reporting, and engaging the right external experts is created within minutes of opening a case.

The logic of filters, combinations, and data for reporting

Another key aspect of modern tagging systems is how they can be used for filtering and report generation. Many applications allow building queries such as "contains all selected tags," "contains at least one of them," "exact match," or conversely "does not contain" certain tags – and it is the combination of these options that allows for highly granular views of the workload. A legal team, for instance, can track all "high-risk litigations" in specific countries that have compliance implications, or analyze internal inquiries from one business unit regarding data protection.

From a legal operations perspective, it is crucial that standardized tags and other metadata can derive metrics and KPIs from matters. These include the average resolution time for a certain matter type, the number of cross-border cases with a budget above a certain threshold, the proportion of work handled by alternative fee arrangements, or the extent of involvement of individual countries or teams. Legal operations literature emphasizes that metrics are only meaningful when consistently collected and linked to standardized categories – otherwise, it is impossible to reliably compare, track trends, or justify budget changes or staffing increases.

In Anywhere.legal, the custom tags system can be designed to directly reflect the types of reports that company management and the legal department actually need – whether these are overviews by country, contract type, risk level, business lines, or counterparty types. AI can help identify which tag combinations occur most frequently in practice and suggest taxonomy adjustments to better align with the actual business operations, rather than just a theoretical model.

MicroFAQ: How do custom tags differ from traditional folders?

1. What is the main difference between folders and tags?
   The main difference is that a folder "locks" a matter into one place, while tags allow multiple categories to be assigned to one matter simultaneously – by matter type, jurisdiction, business unit, and management phase – and then build various views and reports on top of that.

2. Will a large number of tags complicate work?
   If tags are designed without a system, a large number of tags can indeed lead to chaos, just like unorganized folders. The solution is to rely on a clearly defined taxonomy, use limited sets of values for key dimensions, and regularly review tags as company needs evolve.

3. Are tags suitable for small teams too?
   Yes, smaller teams particularly benefit from simple and consistent matter labeling, as they often lack the capacity for complex manual information retrieval or building their own IT solutions. In an environment like Anywhere.legal, one can start with a relatively simple structure and gradually expand it as the volume of work and international reach grow.

Why your tagging system must align with your internal processes

In many organizations, matter categorization arises historically: someone once designed a list of "workload types," another added folders by region, and another created their own Excel with a different structure. These parallel worlds often lead to official categories existing "on paper," while everyday practice uses abbreviations, internal codes, or other divisions that better reflect the company's actual processes. The result is a discrepancy between how things are actually handled and how they are recorded and reported.

Legal operations literature emphasizes that without alignment between data structure and real processes, it is impossible to build a data-driven culture or effective reporting. For example, if a legal team formally labels all contractual matters with a single "contracts" category, but in practice distinguishes between standard B2B contracts, strategic partnerships, distribution networks, or joint ventures, it is impossible to retroactively analyze how much time and cost is associated with a specific type of obligation. From management's perspective, the legal department then "just processes contracts," without insight into the varied workload hidden under a single label.

In an international environment, this discrepancy is multiplied. One subsidiary might label a certain type of dispute as "regulatory litigation," another as "administrative proceeding," and some countries have special regimes for certain areas (e.g., employment disputes, tax audits) that lack adequate categories in a central system. Without the ability to customize tags and structured fields to the company's internal processes and terminology, a micro-Babel Tower emerges, where the same type of matter appears differently in the system each time.

Anywhere.legal is designed to allow matter categorization to be adapted to a specific company and its internal processes while maintaining the possibility of consistent reporting across countries. Clients can use their own terminology and tags that align with their risk matrix, business lines, or internal projects, while the platform itself still allows an aggregated view of the workload across jurisdictions and matter types.

International context: same topic, different legal regimes

In international companies, it is common for the same business topic (e.g., online sales, distribution, employment, data protection) to be subject to different legal regimes in various countries. Nevertheless, from a business perspective, it is highly desirable to be able to track these topics as "one agenda," because they impact the same product, service, or business unit. This places increased demands on categorization: it is not enough to divide matters by country, but it is necessary to be able to tag a matter by its business context and legal "topic."

A typical situation is, for example, the international rollout of a new digital service, which triggers the need in several countries to review contractual terms, GDPR documentation, licensing agreements, or marketing campaigns. If all these matters are managed as separate files without common tags, it is difficult to maintain an overview of the overall project status, risks, and costs. In practice, managers then ask about "the status of project X," while the legal system only knows individual local matters.

Custom tags combined with well-designed matter management enable such cross-border initiatives to be captured. Each matter can have a tag for the project or product it concerns, and simultaneously labels for jurisdiction, legal area, and phase. In Anywhere.legal, it is common for a company to open an "umbrella" case for a specific international project, assign it a unified set of tags, and then handle local sub-matters in individual countries that share common metadata tags. This allows for displaying the entire "package" of work across countries and matter types at any time with a single click, and sharing a consistent status with management.

MicroFAQ: Alignment with processes and risk management

1. What happens if the tag structure is designed by IT without lawyer involvement?
   Typically, a technically "logical" system emerges that does not reflect how the legal team actually thinks about the workload and communicates it to the business. The result is a low adoption rate, circumvention of the system, and data inconsistencies – the opposite of what was intended.

2. How can management be involved in categorization design?
   It is appropriate to involve company leadership, especially in defining the reports and metrics they expect from the legal or tax department. From these requirements, it can be deduced what dimensions (matter type, country, business unit, risk level, financial volume) the categorization must contain to enable such reports without manual data compilation.

3. What role does categorization play in risk management?
   Categorization allows identifying groups of matters with higher risk (e.g., regulatory proceedings, certain types of lawsuits, cross-border tax issues) and tracking how many such cases the company handles, how they are distributed across countries, and how long they take to resolve. Without standardized tags, risk is difficult to quantify, and management often focuses on individual "incidents" instead of a systematic overview.

Mapping existing processes, terminology, and data

The first step to creating a functional custom tags system is to understand how the company currently handles its legal and tax matters. This includes not only formal process directives but also the actual habits of teams: how they name matters, what spreadsheets they maintain, what types of reports they send to management, and how they communicate with external advisors. At this stage, it is also useful to look at existing document structures, folder naming conventions, internal codes, or classifications used in other systems (ERP, CRM, ticketing).

From a data governance perspective, this is a form of standardization analysis: diverse and often inconsistent labeling needs to be converted into a unified format that is understandable across teams and systems. The goal is not to "redraw reality" according to an ideal model, but to find the intersection between what is important for legal matter management and how the company actually works. Especially in international companies, it is important at this stage to respect cultural and linguistic differences, but also to aim for a minimum set of common categories that will be shared by the entire group.

In Anywhere.legal, this analysis can be supported by uploading historical materials (typical contracts, opinions, case summaries) to the platform. AI tools can then help identify recurring patterns: frequently occurring legal areas, counterparty types, project names, or countries. Such "bottom-up" findings can be combined with a "top-down" view from management and legal managers to collectively build a taxonomy of tags that reflects both reality and strategic goals.

Translating processes into tags, fields, and workflows

Once existing practices and reporting requirements are mapped, it is possible to start designing specific categorization dimensions. In legal practice, dimensions typically include matter type (e.g., contractual matters, dispute, regulatory issue), legal area (labor law, tax law, IP, etc.), jurisdiction, business unit, counterparty type, management phase, risk level, financial volume, or billing method (hourly rate, fixed fee, success fee). It is important to decide which of these dimensions will be implemented as structured fields with predefined values and which as more flexible tags.

Expert materials on metadata and taxonomies emphasize that standardized taxonomies and controlled vocabularies provide consistency, support compliance, and facilitate digital asset management. However, this does not mean that everything must be "predefined" – room for free-form tags allows for flexibly capturing new matter types, projects, or internal initiatives without immediately changing the basic model. In practice, an approach is often adopted where key dimensions, on which reporting and risk management rely, have fixed values, while supplementary aspects are recorded using free-form tags.

In Anywhere.legal, this model is reflected in how a matter is created and what information is collected during its lifecycle. When opening a new case, the user can fill in basic structured data (e.g., matter type, jurisdiction, internal business unit, estimated value of dispute or transaction) and add free-form tags for the project, product, internal code, or specific aspects. Simultaneously, an AI tool, based on the case description and attached documents, suggests relevant legal areas and potentially flags missing or inconsistent tags. This minimizes the risk of a matter entering the system "half-baked" and subsequent reporting being skewed.

Typical scenarios from practice: from local disputes to cross-border projects

In practice, it often turns out that the problem with matter categorization does not arise with simple, single-jurisdiction matters, but with more complex cross-border situations. A typical situation is, for example, international distribution, where contracts with distributors in several countries, competition law issues, brand protection, product liability, and tax setup are addressed. If each country records its matters in isolation and without common tags, it is difficult to create a unified view of the risks and obligations related to that product.

Another example is cross-border employment issues, where a company sends employees to another country, handles remote work from abroad, or reorganizes teams across states. These situations have tax, labor law, and immigration implications, which are often addressed with different external advisors in individual countries. Without centralized matter management and standardized tags, it can easily happen that some aspect is overlooked, or the same question is addressed in parallel multiple times.

Anywhere.legal in these scenarios allows opening a central cross-border matter, assigning it tags that reflect both business and legal dimensions (e.g., "global mobility – remote work," "EU labor law," "PE risk"), and then coordinating the involvement of local experts in individual jurisdictions from a single platform. All sub-matters then share a common set of tags, allowing management to get a consolidated overview of project status, costs, and risks at any time. Contact us via Anywhere.legal and get tailored legal support.

MicroFAQ: First steps to a functional taxonomy

1. How do I find out what categories I actually need?
   The best way is to start with real questions from management and business: what overviews do they require, by what criteria do they want to filter matters, how do they assess risks and costs. From these requirements, you can deduce what dimensions (matter type, country, business unit, legal area, risk level) the system must capture.

2. How to prevent the system from becoming too complex?
   It is advisable to start with a limited number of mandatory fields and tags and observe how the team works with them. Only based on experience and data should the structure be expanded – and always considering whether the new dimension truly brings added value for reporting or risk management.

3. How to deal with historical matters?
   For existing matters, it generally does not make sense to aim for 100% retrospective "retagging" of all cases – that would be very demanding. In practice, a combination is often chosen: key ongoing matters are manually supplemented with new tags, while for older matters, AI is used to quickly assign basic categories based on documents and case descriptions.

Opening a case, structuring the brief, and initial tagging

In the Anywhere.legal environment, work typically begins with the user opening a new matter – whether it is a one-off inquiry, a transaction, a dispute, or a broader project with cross-border implications. When creating a case, the platform guides the user step-by-step to capture basic information: description of the situation, countries involved, type of legal or tax question, expected goal, and timeline. It is at this point that initial tags and categories should be set, as the requester has the freshest understanding of the matter's context at this moment.

Anywhere.legal uses AI to suggest further questions, clarifications, and potentially relevant tags based on the brief's text and uploaded documents. Analogous to other systems that use AI for automatic document type identification, extraction of key data, and storing it as metadata, AI here helps structure not only documents but the entire matter. This allows the user to move from a free-form description of the situation to a relatively structured assignment with clearly defined categories within minutes, which significantly facilitates subsequent work for both the internal team and external experts.

At this stage, the basic procedural framework is also set: whether it is a one-off consultation, ongoing support, a project with specific milestones, or a dispute where court deadlines will be key. All of this influences what tags should be used and how matters will be reported later. For example, for litigation, it may be crucial to have a "phase of proceedings" category (pre-action letters, first instance, appeal, enforcement), while for transactions, it will be important to track "project phases" (NDA, term sheet, due diligence, SPA, closing, post-closing).

Working with documents, knowledge, and ongoing tagging

After a matter is opened, the work with documents and the knowledge context begins. Anywhere.legal serves as a central repository for documents and communication related to the case: contracts, opinions, emails, meeting notes, procedural filings. Each document is linked to a specific matter and can also have its own tags or metadata values (e.g., document type, language, version, confidentiality). This makes it possible to quickly find, for example, all opinions on a particular regulatory topic in a given country, or all procedural documents in the appeal phases.

The modern approach to document management in companies emphasizes that the key to efficiency is centralized storage, intelligent search, and well-designed metadata, not just a "folder tree." AI-powered systems can automatically classify documents by type, extract key information, and store it as metadata, which subsequently improves search and increases productivity. Anywhere.legal applies this logic to cross-border legal matters: for example, AI can identify that an uploaded document is an "Employment Agreement – Germany" or "GDPR DPIA – France" and suggest assigning corresponding tags at the matter level.

During a matter's lifecycle, categories and tags can be further refined. For example, a dispute initially appearing "standard" might be re-evaluated as "strategic" or "high-risk" after certain developments. A tag change in Anywhere.legal immediately reflects in all reports and dashboards that use that dimension, providing management with an up-to-date picture of the risk and priority portfolio. Similarly, a matter can be tagged as part of a specific "wave" project (e.g., the rollout of a new service in another country), thereby tracking the overall project status across multiple individual matters.

Overview of key risks and how Anywhere.legal helps resolve them

AI, automation, and governance: how to keep the tagging system functional long-term

The role of AI in designing and maintaining categorization

Once a company sets up a system of categories and tags, it is crucial to maintain its consistency even with changes in workload, personnel turnover, and growth in case volume. In traditional systems, metadata consistency is often dependent on individual discipline or manual checks, which quickly becomes unsustainable with hundreds or thousands of matters. This is where AI comes in, acting as a "first filter" and continuous consistency checker.

Systems for intelligent tagging and document classification use advanced algorithms to automatically assign metadata, recognize document types, and adapt storage and search based on this information. In a legal environment, the same logic can be applied at the matter level: AI analyzes the case description and uploaded documents and suggests which tags should be used, or flags inconsistencies (for example, a matter is formally labeled "contract," but the content of documents and communication indicates that the main agenda is regulatory or tax). This increases data quality without burdening the user with complex forms.

Anywhere.legal leverages this role of AI not only for tagging itself, but also for structuring briefs, suggesting relevant questions, and outlining next steps. In practice, a user describes the situation in natural language, attaches available documents, and AI helps convert this free-form description into a structured matter with a clearly defined scope, key risks, and suggested categories. This significantly speeds up the initial phase of work, which is often challenging to coordinate in cross-border cases, and simultaneously creates a data foundation for future reporting and risk management.

Workflow automation based on tags

Beyond assigning tags, another logical step is to use these categories as triggers for workflow automation. In legal marketing and client management systems, it is common for tags on contacts or matters to trigger automated processes, such as sending specific information, assigning tasks, or generating reports. The same logic can be applied to legal matter management: certain tag combinations may mean that a matter requires automatic compliance involvement, approval from a specific manager, or the application of a specific process (e.g., enhanced due diligence).

Anywhere.legal allows the tag and field structure to be not "static" but to actively drive the matter's progress. For instance, a matter tagged as "high risk – regulatory – cross-border" can automatically generate an alert for the head of the legal department, set a higher frequency of status reports, or trigger crisis communication management procedures. Similarly, a matter with tags "M&A – multi-jurisdiction" can trigger a templated checklist of documents to be obtained in individual countries and divide tasks among local experts within the platform.

This level of automation helps minimize delays and bottlenecks in workflows, which are among the most common causes of increased costs and stress in litigation and transactions. Workflow mapping and measuring the duration of key actions, discussed in litigation materials, become much simpler thanks to standardized tags and automation: the system itself records when a matter entered a certain phase, when certain conditions were met, and where the most frequent delays occur.

Governance: who "owns" the taxonomy and how to manage it

Every categorization and tagging system needs a clear "owner" – a person or team responsible for its design, ongoing adjustments, and communication to other users. In legal departments, this role is often held by a legal operations team or a combination of a senior lawyer and an IT/business analyst. Without clear ownership, there is a risk that new tags will be added ad-hoc without coordination, leading to redundancies, synonyms, and inconsistencies across countries.

Good taxonomy governance includes several elements: defining principles for introducing new categories; a process for approving and testing changes; regular review of existing tags and fields; and user training. Anywhere.legal serves as a common platform where these principles can be implemented: changes to the tagging structure can be made centrally, while also allowing for a certain degree of flexibility for local teams within predefined limits. AI can assist in governance by flagging rarely used tags, synonymous categories, or inconsistent usage among teams, thereby providing input for taxonomy revision.

Measuring impact: reporting, KPIs, and continuous improvement

How to turn tags and categories into useful metrics and KPIs

The ultimate goal of a well-designed system of tags and categorization is not just "to have nice data in the system," but to derive metrics and KPIs that help better manage legal and tax matters, as well as collaboration with external advisors. A distinction is made between raw data (e.g., individual time entries, invoice amounts, matter types), metrics (aggregated indicators such as total monthly costs, number of open matters of a certain type), and KPIs, which are directly linked to specific goals of the legal department or company (e.g., reducing the average resolution time for a specific matter by 20%, increasing the proportion of matters with clearly defined budgets, or reducing external costs in a specific area).

Without standardized tags and fields, these metrics and KPIs cannot be reliably calculated. For example, the KPI "proportion of matters with a set budget" requires that budget information for each matter is consistently recorded, not just in an email text or a document note. Similarly, KPIs such as "percentage of matters using alternative fee structures" (e.g., fixed fees or success fees) assume that the billing method is standardized data, not free-form text. The entire logic of managing legal service costs – including the use of AI for more transparent pricing – thus relies on the quality of data entered precisely through custom tags and structured fields.

Anywhere.legal enables the creation of dashboards and reports based on these structures that answer real management questions: how many cross-border matters are currently active, what are their budgets and actual costs, what phases are they in, which countries and external advisors are most involved, where are the most frequent deviations from budget or planned schedule. Thanks to custom tags, these reports can be finely filtered, for example, to track only matters related to a specific product, regulatory topic, or group of countries (e.g., the CEE region).

Identifying bottlenecks, risks, and opportunities for optimization

In addition to "static" metrics that show the status of the matter portfolio, standardized categorization combined with time data (e.g., matter creation dates, transition to the next phase, closing) also allows for analyzing the progress of matters over time. In litigation, expert materials recommend mapping workflows, measuring the actual duration of key actions, and identifying areas where delays and unnecessary costs repeatedly occur. The same can be applied to contractual matters, regulatory issues, or internal advice – if a matter is categorized by type and phase, it is possible to ascertain whether, for example, the contract approval phase in a certain country systematically takes longer than elsewhere.

Standardized tags also facilitate the identification of patterns in risks: for example, it can be found that certain types of disputes (e.g., in labor law in a specific country) have a higher probability of an unfavorable outcome or significant budget overruns, which may lead to a revision of internal policies or a change in negotiation strategy. Similarly, areas can be identified where it is worthwhile to invest in prevention (e.g., training, standardized contractual clauses, or compliance programs), because historical data shows a high incidence of incidents or costly disputes.

By centralizing cross-border matters and enabling work with custom tags across countries, Anywhere.legal provides companies with the opportunity to see their legal and tax matters as a whole for the first time, rather than as a set of isolated local cases. This opens up space for strategic considerations: which jurisdictions, transaction types, or counterparties pose the greatest legal risk, where it is most worthwhile to standardize documents and processes, and what is the long-term return on investment in compliance or an internal team compared to outsourcing.

Conclusion: why address custom tags and matter categorization systematically, and why Anywhere.legal makes sense

A well-designed and maintained system of custom tags and matter categorization might, at first glance, appear as a "technical detail" of legal IT. In reality, however, it represents the backbone upon which the legal and tax department's ability to function as a strategic business partner, rather than just a reactive service provider, stands. Without standardized categories and tags, it is impossible to effectively manage the matter portfolio, control costs, manage risks, or justify investments in people and technology. In an international environment, this importance is multiplied, because the question is not just "how many matters are we handling," but "how coordinated are we in handling them across countries, and what is their impact on the global business."

In practice, it often turns out that the problem arises not only in the legal assessment itself but in the entire logistics of the case: in unclear assignments, fragmented documents, chaotic communication, and inconsistent labeling of matters across teams and jurisdictions. This "operational" layer is often the primary source of delays, unnecessary costs, and frustration for both management and lawyers. Systematic work with custom tags and categorization, supported by AI and a central platform, can significantly mitigate these problems – not only for new matters but gradually also when working with historical files and knowledge.

Anywhere.legal does not act as another isolated tool here, but as a place where all key elements meet: matter creation, structured briefs, document uploads, AI support for their processing, a custom tags system designed according to the client's internal processes, transparent pricing, involvement of the right experts in individual countries, and ongoing coordination of the entire case. In practice, a combination of document centralization, initial AI processing, and the involvement of local experts proves effective, so they all work together on a single structured assignment and shared tags. This significantly shortens the time needed to understand the situation, reduces the risk of misunderstandings, and increases the quality of outcomes across countries.

For companies looking to control their international legal and tax matters, the solution of custom tags and matter categorization becomes a strategic question, not an "IT topic." It pays to invest time in taxonomy design, involve lawyers, management, and IT, leverage AI for support in design and daily work, and establish governance that ensures the system's long-term sustainability. Anywhere.legal offers an environment where such a system can be designed, tested, and progressively developed – from the first cross-border matters to a complex portfolio across continents. Given that the platform addresses similar situations proactively and systematically, a company can rely on both its technology and experience from real-world scenarios.

FAQ: Frequently asked questions about custom tags and categorization in Anywhere.legal

1. How challenging is it to transfer an existing workload into the custom tags system in Anywhere.legal?
   The difficulty depends on the state of your current data and how matters are recorded. In practice, a gradual transition is usually chosen: new cases are set up from the start in Anywhere.legal with the new tag structure, while for ongoing and key historical matters, a combination of manual key tag completion and AI assistance is used to help derive basic categories from documents and case descriptions. The goal is not "perfect retrospection" but gaining a practically useful overview as quickly as possible.

2. How does Anywhere.legal address the differing needs of local teams and central management?
   A two-tier structure is a typical solution: a central set of mandatory fields and tags (e.g., matter type, jurisdiction, business unit, risk level) common to all, and an optional set of local or team-specific tags that capture the specifics of a given country or area. Governance over the taxonomy defines what can be adjusted locally and what must remain unified to allow for consolidated reporting across the group.

3. What role does AI play in daily work with matters; is it not just "gadgets"?
   In Anywhere.legal, AI is not intended to be a "fancy add-on," but a practical tool to speed up and improve the accuracy of work: it helps structure briefs, suggest relevant questions, detect legal topics in documents, propose tags, search historical similar cases, and prepare initial document drafts or summaries. This allows lawyers to spend less time on manual sorting and information retrieval and more time on the legal assessment and strategy itself.

4. Can categorization in Anywhere.legal also be used for internal compliance and training?
   Yes, the custom tags system can also cover compliance incidents, internal investigations, whistleblowing submissions, or audit results, and these matters can then be analyzed for trends and risks. Based on the data, better decisions can be made on where to strengthen internal policies, focus training, or adjust contractual agreements with partners. The same tags can also be used to classify knowledge base outputs, so that, for example, all materials related to a specific compliance topic are easily retrievable and reusable.

5. How do I know if the investment in taxonomy and tag design has truly paid off?
   Practical indicators include faster orientation in matters, less time spent retrieving documents and information, better quality and accuracy of reports for management, the ability to identify workflow bottlenecks and risky areas, and last but not least, better coordination of cross-border projects and disputes. If after some time you see that management receives consistent answers to their questions and the legal team has greater capacity to focus on the substance of matters instead of manual administration, then the tagging system is fulfilling its purpose.

6. Can Anywhere.legal also coordinate external advisors who work in their own systems?
   Yes, Anywhere.legal is designed precisely as a platform for collaboration among multiple parties – internal teams, local law firms, tax advisors, and other experts. External advisors can work in their internal systems, but for a specific matter, they use Anywhere.legal as a common communication and document space with a shared tag structure and brief. This reduces the risk of miscommunication, speeds up information transfer, and increases transparency regarding the scope and cost of services.